example of social science research paper

Social Science Research: Principles, Methods and Practices - (Revised edition)

(43 reviews)

Anol Bhattacherjee, University of South Florida

ISBN 13: 9781475146127

Publisher: University of Southern Queensland

Language: English

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Reviewed by Kelle DeBoth Foust, Associate Professor, Cleveland State University on 6/22/23

Comprehensiveness rating: 5 see less

The text really seems to do as it claims; provides the basic overview of the research material needed for graduate students without a lot of other “fluff.” It’s written very clearly, easy to understand and many figures and charts that enhance learning. It covers the majority of the topics that I need it to cover for OTH 740/Research I, at about the level of detail that the students should be able to digest. In particular, I like the sections on survey research, experimental research and that it covers quantitative and qualitative analyses.

Content Accuracy rating: 4

As far as I can tell reading through it, the content is accurate and unbiased (will be able to review further once actually implemented in the intended course).

Relevance/Longevity rating: 4

The content is current at least regarding how we continue to teach and use it in our field. Some of the references are a little outdated, although not much has changed in this world in recent years. I also recognize I can pull more recent literature in order to make the examples up to date and relevant for my particular students.

Clarity rating: 5

This book is written very clearly. I feel that the diagrams really help to add and make sense of higher level concepts that students may struggle with. Concepts that are challenging are recognized as such within the text, with appropriate examples that enhance clarity (will be able to review further once actually implemented in the intended course)

Consistency rating: 5

Yes, the text appears to be internally consistent in terms of terminology and framework.

Modularity rating: 5

The text is easily and readily divisible into smaller reading sections that can be assigned at different points within the course (i.e., enormous blocks of text without subheadings should be avoided). The text should not be overly self-referential, and should be easily reorganized and realigned with various subunits of a course without presenting much disruption to the reader. – Yes. The division of the content makes sense, and how smaller modules are paired (e.g., qualitative and quantitative analysis paired back to back) is logical to facilitate learning.

Organization/Structure/Flow rating: 5

The text and chapters are laid out in an order that makes sense and provides good flow and continuity between the concepts and analytical applications. In particular, I like how research is introduced, moving into research design and then analysis all within the same text. Will make this more manageable for students.

Interface rating: 5

The text is free of significant interface issues, including navigation problems, distortion of images/charts, and any other display features that may distract or confuse the reader. – Very well put together, no issues with the interface. I would consider this to be very user/student friendly. In particular, the authors made a point to keep it “short and sweet” so students should not be intimidated by the length of the chapters (which is excellent for helping to convince the students to actually read them).

Grammatical Errors rating: 5

The text contains no grammatical errors. – None detected.

Cultural Relevance rating: 5

The text is not culturally insensitive or offensive in any way. It should make use of examples that are inclusive of a variety of races, ethnicities, and backgrounds. – No offensive content noted, the majority of the examples used do not have cultural significance and therefore the amount of diversity is sufficient.

This review was written based on a preliminary review of the text prior to use and implementation within the intended course. I will update the review if it significantly differs once students have used it for their course study.

Reviewed by Ingrid Carter, Professor, Metropolitan State University of Denver on 4/14/23

The textbook includes many of the important elements of a foundational social science research course. A key element of the course I teach which is not included in the text is how to search for literature to inform the research, how to synthesize... read more

Comprehensiveness rating: 4 see less

Content Accuracy rating: 3

The content appears to be mostly accurate and unbiased. There is a large emphasis on positivist approaches, and more post-positivist and innovative research approaches should be added to the content.

The text is relevant to foundational/introductory social science research courses. As mentioned previously, broader and more diverse perspectives of research are missing.

Clarity rating: 4

The content is presented clearly.

Consistency rating: 4

The text is presented with a consistent framework and format. The variety of frameworks included could be greater, with at minimum a presentation of different research paradigms and ideally with discussion or questions to grapple with related to various research paradigms and approaches.

As the author indicates, the textbook consists of 16 chapters which can be used in a 16-week semester. These can be easily assigned for weekly readings.

The textbook is well-organized.

Interface rating: 4

The interface is relatively clear

No grammatical errors were found in my initial review. I have not yet used the textbook for the course I am teaching, and therefore have not reviewed the textbook page by page nor line by line.

Cultural Relevance rating: 3

More diverse and culturally relevant example to a diverse audience could be embedded. I did not encounter offensive material.

Reviewed by Sanaa Riaz, Associate Professor, Metropolitan State University of Denver on 3/27/23

Comprehensiveness rating: 3 see less

While not meant for advanced graduate and doctoral students, this text is an excellent introductory resource for learning about paradigms in research methods and data analysis and prepares the learner to begin writing a successful research project proposal. The text largely privileges the scientific method and labels diverse social science research methods as such. However, the preparatory considerations in beginning social science research have been discussed. The book contains important terms in bold to guide a beginner reader as well as sample syllabi for incorporating it at the graduate level. However, the text could be made more comprehensive with the inclusion of an effective index and/or glossary.

Content Accuracy rating: 5

The text is a quick guide to considerations and terminologies used in social science research. The content is accurate, error-free and unbiased.

The text provides a basic introduction to research methods in the social sciences. Updates in social science inquiry with respect to social media and popular culture platforms and mixed methods research should be easy to incorporate.

The text has been written from the point of view of a non-expert. It is free of technical jargon and is meant to provide the essentials of social science inquiry and research considerations.

Consistency rating: 3

The text is internally consistent in terms of terminology within a chapter section. However, it is strongly recommended that the framework is revisited for chapters discussing qualitative research methods and approaches. Qualitative data analysis has not been explored in depth and the basic framework for Chapter 13 will need to be substantially expanded to provide for a smoother transition from a discussion on grounded theory to content analysis and hermeneutic analysis and to incorporate information on other analyses undertaken in qualitative research.

Chapters and sections in the text can be easily reorganized and assigned as per needs of the instructor and the course without causing disruption to the reader.

Organization/Structure/Flow rating: 3

Chapter sections of the book covering qualitative research are not presented in a logical manner. It is highly recommended that the readers are told about the place of exploratory and other research in social science research inquiry, rather than labeling them as scientific research. Moreover, mixed methods and qualitative visual and social media platform research needs to be discussed. The book overall shies away from delving into approaches and methods in non-empirical research in the social sciences.

The text is easy to navigate. All words, sections and tables are easily searchable.

The book is free of grammatical errors.

The text does not contain any culturally insensitive information as there are hardly any research project examples incorporated.

Incorporating examples and case studies across social science disciplines (after introducing the disciplines in which social science research is employed in the first chapter) would allow readers to see the applicability of one social science research approach, method and data analysis over another based on the research project focus.

Reviewed by Cahit Kaya, ASSISTANT PROFESSOR, University of Texas Rio Grande Valley on 10/17/22

I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. read more

Comprehensiveness rating: 2 see less

I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55.

IT SEEMED ACCURATE

Relevance/Longevity rating: 3

IT IS RELEVANT

IT IS CLEAR

IT IS CONSISTENT

Modularity rating: 3

IT NEEDS MORE MODULES

Organization/Structure/Flow rating: 2

IT CAN BE OGRANIZED BETTER

YES BUT EVEN THOUGH IT CAN BE IMPROVED

Grammatical Errors rating: 4

I DID NOT SEE IT

MORE CULTURAL DIVERSE EXAMPLES CAN BE GIVEN

Reviewed by Dawn DeVries, Associate Professor, Grand Valley State University on 12/9/21

The text provides a complete summary of the research process. While discussions are brief and concise, the text addresses the main issues and processes providing an overview and general understanding of the research process for social science fields. Two areas could be more in-depth, specifically the IRB discussion and the chapter on surveys. Information provided is accurate and succinct as the author intended, providing a comprehensive overview of the research process.

The content is accurate and presented in an objective manner. There was no perception of bias or conflict that would impact accuracy. The chapters offer a variety of examples, inclusive of a variety of social science fields.

Written in 2012, the information remains relevant with few areas that would ever need to change. The research process and research methods stay fairly consistent with little variation; thus, the text would not need regular updating. Updates, if and when needed, would be easy to implement due to the concise and objective writing and the logical organization of the textbook. One area needing updating (or that instructors would need to supplement) is Chapter 9 on Survey Research. The chapter refers to mail surveys, which in 2021, are almost obsolete. Little is presented or discussed on electronic surveys, survey platforms, or the use of social media in recruitment, survey distribution or every survey completion. Furthermore, there is no mention of the ethical issues related to social media research.

Key terminology is bolded with the definition following, making it easy to identify. Definitions are clear and adequate to facilitate understanding of the concepts and terms. The text presents the research process in a logical and understandable way using scaffolding.

The chapter structure, framework, and style are consistent.

Modularity rating: 4

The chapters provide easily divisible readings of 8-10 pages. The chapters are ordered in a logical fashion and flow easily, yet they could be rearranged to fit instructor preferences for order. Chapters are concise, allowing the combination of multiple chapters for a week’s reading if needed. The text is designed for a 16-week semester, but again, because the chapters are not long, several chapters could be read as one assignment. It would be difficult to reduce chapter readings (say, using only 5 pages of the chapter) because of the conciseness of the information and the shortness of the chapters.

The text is logical and has flow. It starts general (with How to Think Like a Researcher) and builds to specific, more detailed content (Inferential Statistics).

There are no observed problems with the interface of the text. Images used are clear and display without difficulty. No hyperlinks are used.

No observed issues or concerns related to grammar or mechanics.

No concerns about inclusivity or offensiveness. The text is clear and concise, offering a variety of short examples specific to various social science professions.

The text reminds me of my Research Methods textbook from my doctoral program. It addresses the differences between scientific research and social science methods in a clear and concise manner. While it is an overview of the information, it is specific and concise enough for students who need to understand the research process but won’t be engaging in research as their full-time profession. Content is brief in a few areas as mentioned, which will allow the instructor to provide supplemental reading or lecture content specific to the university (i.e., IRB) or to the profession. As the author suggests, certain chapters could be skipped depending on the program. For example, chapters 13 – 15 on statistics could easily be omitted if the program has a research statistics course. A nice add is the sample syllabus for a doctoral program.

Reviewed by David Denton, Associate Professor, Seattle Pacific University on 5/3/21

I use this book with graduate students in education taking an initial course in education research. Dr. Bhattacherjee notes the book is organized for semesters with supplemental readings, as shown by the sample syllabus in the appendix. Nevertheless, I have found the book is excellent in meeting objectives for an introductory course in education research, though it is necessary to add education context and examples. Some of the course objectives I have developed from the textbook include i) distinguishing between questionnaire survey method and interview survey method and ii) summarizing criteria for developing effective questionnaire items, among many others. There are some sections that exceed student knowledge without some background in statistics (e.g. description of factor analysis) but omitting these sections as required reading is easy since there are many subheadings used to segment chapters.

Dr. Bhattacherjee has done an excellent job of clearly communicating the content with accuracy. For example, the textbook distinguishes between qualitative and quantitative analysis (rather than qualitative and quantitative research, an appropriate distinction). The textbook makes other distinctions in a way that helps students comprehend concepts (e.g. survey interview and survey questionnaire). At the same time, the textbook does not over-emphasize research methods or design, which might mislead students to think inflexibly about the topic.

Relevance/Longevity rating: 5

One of the advantages of the book, in my view, is that it will not become obsolete anytime soon. It addresses all major topics of interest for instructors needing to develop student background knowledge in social science research methodology. For example, some topics for which the book provides helpful structure include i) Thinking Like a Researcher, ii) The Research Process, iii) Research Design, iv) and Sampling. In addition, an instructor can easily supplement or provide subject-specific examples where needed since the book is thoroughly segmented by chapter and chapter subheadings.

Dr. Bhattacherjee does a fine job of defining terms concisely. I do not recall use of jargon, or if there are complicated terms, the text provides enough elaboration so that students can at least attain a conceptual understanding. In some instances, definitions are so concise that I find it necessary to elaborate with examples. This, however, is a part of instruction and would be done in any case.

The textbook is highly coherent, in my view. Similar to modularity, consistency is a strength. For example, chapters are grouped into four sections: Introduction to Research, Basics of Empirical Research, Data Collection, and Data Analysis. Further, chapters within major sections are sequential, such as chapters on Science and Scientific Research, followed by Thinking Like a Researchers, followed by The Research Process. In addition, content within chapters is consistent, such as Dr. Bhattacherjee’s logical progression of concepts: empiricism, to positivism, to forms of analysis (qualitative and quantitative), etc

Modularity is one of the clear strengths, again in my view. From a structural perspective, neither the chapters nor subsections are very long because Dr. Bhattacherjee writes concisely. Both chapters and subordinate subsections lend themselves to various kinds of divisions. For example, students in need of supplemental instruction on descriptive statistics, such as content about the normal distribution, can be assigned the subsection on Statistics of Sampling in chapter 8, followed by the subsection on Central tendency in chapter 14. Some non-sequential reading is required if students do not have any background in statistics, but this is not difficult to manage using page numbers or subheadings as reference.

Organization/Structure/Flow rating: 4

The textbook is well organized. Nevertheless, there are some sections that I found helpful to have students read out of sequence. For example, there is a short section at the end of chapter 5, Scale Reliability and Validity, which is perhaps best read after students cover correlation and normal distribution, dealt with in chapter 14. Again, I did not find it difficult to assign sections out of sequence using either page numbers or chapter subheadings as reference.

The textbook does not have interface issues. Chapter titles are hyperlinked within PDF copies to simplify navigation. Some may judge a few of the images as low resolution, but if this is a defect it is not one that interferes with communicating concepts, which is the purpose of the images.

There are a few minor grammatical errors in the 2nd edition, 2012. For example, on p. 126, Dr. Bhattacherjee notes “five female students” when the Chi-square table appears to show four. This is minor, but if students are new to reading Chi-square tables they may not detect the error and believe interpreting a Chi-square table is different than interpreting a typical data table.

The textbook presents appropriate information without prejudice or unfairness. As mentioned, instructors will likely need to include examples that are specific to their course objectives and student populations. For example, chapter 11. Case Research provides exemplars that focus on business and marketing domains. This seems entirely appropriate given Dr. Bhattacherjee’s research area. Instructors using the text for other domains, such as education research, will be interested in elaborating on concepts using examples specific to the needs of their students.

I greatly appreciate that Dr. Bhattacherjee has shared his book as an Open Textbook.

Reviewed by Elizabeth Moore, Associate Professor, University of Indianapolis on 4/24/21

In Chapter 5 on Research Design there isn't any discussion on how to improve content and statistical conclusion validity. There isn't a discussion of threats associated with the four types of validity. The chapter also does not present how the research design and threats to validity are interconnected. There is a lack of comprehensiveness in the presentation of qualitative research as qualitative research rigor is not addressed.

The content is accurate, error-free, and unbiased. I would like more examples focused on social sciences. Some of the examples are related to business/industry. There are many social science examples that could be used.

Many of the examples should be updated. With everything that is (has been) happening in the U.S. and world, there are many examples that can come from the social sciences. For example, there are several examples that could represent the concept of technostress, especially with many professionals having to move into online environments. Students would be more likely to read assigned chapters and understand the material presented if the examples were relevant to their profession.

The book is clear and has high readability. There are several accessibility issues in the document. This should be checked and fixed. There are 5 issues in the document, 4 in tables, 5 in alternative text, etc. Accessibility is a big issue right now. All documents have to be accessible to all students.

While there is consistency within the textbook, in some topics there is a lock of consistency in how some of the terms and material relate to what is actually used in social science disciplines. For example, in basic social science textbooks in chapters presenting an introduction to measurement of constructs, descriptive statistics that are unfamiliar and rarely used, such as geometric mean and harmonic mean, should not be introduced. This information is usually difficult for novice researchers to understand without adding more advanced descriptive statistics.

It is confusing as to why research validity is in Chapter 5 - Research Design. There is not a discussion of how different research types are affected by different types and threats of research validity. The title of Chapter 7 is misleading. The word "scale" is associated with scale of measurement. It would be better to use designing measurement tools/instruments in the chapter name since the types of validity and reliability discussed are related to creating and developing measurement tools/instruments. I also think Chapter 6 - Measurement of Construction should not come before Chapter 7 - Scale Reliability and Validity since measurement of constructs and scale reliability and validity are related to qualitative research.

I like the organization. It follows the current syllabus I use so it will require very little modifications.

As mentioned below, bookmarks would improve navigation of the pdf file. Also, having links from the table of contents to chapters would be helpful. Including some of the important subsections of the chapters would also improve navigation of the pdf version of the book. Tables and charts are helpful and supplement the text. Use of images would break-up the text.

None were noted.

Cultural Relevance rating: 4

See comments above about the relevancy of the material. While it is important to make sure a book is culturally sensitive and not offensive, it is also important to not ignore what is known about social injustices which are well-documented. Look at the lack of diversity in many professions and organizations, this is important to address.

It would be helpful if bookmarks were placed in the pdf version. While this is a social science textbook, it would be helpful to have subsection in Chapter 4 that introduces at least a couple of the main health behavior theories. These are commonly used by many researchers in social sciences.

Reviewed by Barbara Molargik-Fitch, Adjunct Professor, Trine University on 3/6/21

This textbook provides a nice overview of several topics related to social science specific research. read more

This textbook provides a nice overview of several topics related to social science specific research.

The textbook seems to be accurate and error free.

The text seems to be accurate, relevant, and useful.

The text is organized well and had a professional and academic tone while also understandable.

Text seemed to be internally consistent.

Text is easily divisible to be assigned as different points within the course.

Text is well organized.

The text is free of significant interface issues that would distract or confuse the reader.

I did not see grammatical errors.

I did not see any cultural issues.

I will be using this textbook for one of my classes. I am looking forward to using it. I think it has a lot to offer students looking to develop their research skills.

Reviewed by Kenneth Gentry, Assistant Professor, Radford University on 6/2/20

This text provides a great overview of core concepts relevant to health-science research. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. It may be helpful in future editions to add additional content relating to qualitative research (i.e. additional types of designs, as well as how trustworthiness and rigor are addressed [for example, what specific steps can be taken by researchers to address dependability, credibility, confirmability and transferability]).

Information presented appears accurate and unbiased.

While much of the content is 'durable' (not likely to soon become obsolete), the relevance is dependent upon the focus of the instructor/course. For example, if the emphasis of the course will be on quantitative research, then this text is highly relevant, however, if the emphasis is on an equal balance between the traditions of qualitative and quantitative, then this text is slightly less relevant due to the more limited nature of its content in qualitative (in comparison to content on quantitative). That is not to say that this text does not address content relevant to qualitative research, however, it does so with decidedly less depth and breadth than quantitative.

While a subjective interpretation of clarity is highly dependent upon the reader, I found this text to strike a good balance between a scholarly, academic tone, and commonly-understood, easily-relatable descriptions of key concepts. There were times where I wish that the latter had been more so, however, considering the target audience of this text, I feel that the author struck a good balance. Occasionally, there were concepts that I anticipated would require additional clarification (beyond the reading) for my graduate students.

Overall, I found the text to be generally consistent in its approach to the content. Occasionally, there were instances when the flow made sense at the chapter level, however, content might have been spread between chapters (i.e. theory is discussed in Chapters 1, 2 and 4).

This ties in with my comments on consistency. Since some concepts are discussed in more than one place, it might be difficult to identify a single reading for a specific topic ... one might need to assign several readings from more than one chapter. However, having said that, I anticipate that those instances would be infrequent. On the whole, the text demonstrates a fairly good degree of modularity.

At the chapter level (i.e. main topics), and within each chapter, information appears well organized. It is the appearance of content in multiple places that was occasionally problematic for me as I read (i.e. when reading about reliability and validity, I questioned why the author did not discuss the types of reliability and validity ... I later found that content in a subsequent chapter).

Interface rating: 3

While images were viewable, many appeared 'pixelated'/'grainy' (low resolution). This was more of a cosmetic issue, and did not affect the overall interpretation of the image.

Overall, the content was grammatically strong.

Content was not culturally insensitive or offensive.

My sincere thanks to this author, and to the Open Textbook Library and Scholar Commons for this text. I truly appreciate the investment of resources that were invested. I just completed instructing 2 semester courses on research in a graduate health science degree program ... I plan to adopt this text the next time I am rotated into those courses again!

Reviewed by Wendy Bolyard, Clinical Assistant Professor, University of Colorado Denver on 4/30/20

This text presents all the topics, and more, that I cover in my master's-level research and analytic methods course. A glossary would be helpful as students often need to reference basic definitions as they learn these new concepts. I would have... read more

The concepts were presented accurately and often with citations.

The great thing about research methods is that the content ages well (does not change over time). The examples were relevant and should not make the text obsolete. Any instructor should be able to provide current, real-world examples to compare and contrast to those in the text. Although the sample syllabus if for a business class, I did not find the text to be relevant only to business students. The authors uses broad social science illustrations that cross disciplines. This text is definitely relevant to public affairs/public administration.

The text is well-written and provides clear yet concise context.

When students are learning a new language - research methods - they may be confused when definitions vary. Causality is explained with slightly different language which may be misunderstood by students.

One chapter includes a summary section. It would have been helpful to include a summary of key takeaways for each chapter, and perhaps include a list of key terms and definitions (since the text does not include a glossary).

The text follows the linear, systematic research process very well.

The font, size, and spacing varied in some sections. The images were a bit blurred.

A few typos, but otherwise well-written and very clear.

Culturally sensitive with relevant and inclusive cases provided.

I will be adopting this text to supplement other readings assigned in my master's-level research and analytic methods course. I appreciate the clear and helpful context it provides on key concepts that students must understand to become effective researchers. The text is comprehensive yet concise and would not overwhelm students.

Reviewed by Valerie Young, Associate Professor, Hanover College on 12/19/19

I really appreciate the broad focus and examples from social science fields. As a fellow social scientist from a high growth area (communication studies), I would appreciate even more breadth! I supplement with many field-specific resources, so this critique is very minor. An appropriate place and reference might be within the first chapter, under the heading Types of Scientific Research, to give a nod to some of the social science fields and the importance of interdisciplinary questions across disciplinary lines.

I did not find any errors in the content of the book. One critique is that the author rarely cites any sources for assertions or materials. I get the impression that the author is relying on "commonly known" ideas regarding research methods and processes, but I have to consistently remind my students to cite all non-original information, and that example is lacking in this text. As an example, regarding evaluating measurement scales for internal consistency, the author references commonly-accepted factor loadings (>.60) but does not reference or provide linked resources for readers to corroborate this or seek additional readings.

The text content is relevant and the author has taken care to provide relatively timeless sample research examples throughout. Some examples include areas of social and political interest (conflict, crime), business and marketing, and social psychology. The contents of the text are not dated and the author does a fantastic job of offering a variety of relevant examples so that readers of all backgrounds can relate to the content.

Incredibly clear and concise. Main ideas are clearly articulated in headings. Bullet point lists are used infrequently, but appropriately. The writing style is professional, academic in tone, yet relate-able. There is little, if any, discipline-specific references that a graduate student from any area of social sciences could not comprehend; however, this book is empirically-grounded and quantitatively focused. For our readers in fields with lower quantitative literacy, some of the terminology in chapters is better suited for students with basic statistical experience, some research methods or theory coursework completed.

This text is consistent and detailed in the use of interdisciplinary, social scientific terminology.

The layout of materials and the concise writing style contribute to an easy-to-visualize text. The page layout and brief chapters make it appropriate to assign supplemental readings along with the chapter topics. Some areas for improvement: use hyperlinks to reference forward and backward within the text so that readers can pop back and forth to related concepts. Include links in the text to reputable online materials or publications. See my comment below in Organization feedback concerning chapter ordering.

One thing that strikes me as amazing and also challenging about this text is the concision and simplicity for which Bhattacherjee integrates complex information. The chapters are very brief- about half of what would be a typical, field-specific textbook, but the content is simultaneously dense and clear. For example, Chapter 7 addresses scale reliability and validity. In just a few short pages, we get an incredible density of information and terminology, from a formula and brief explanation of Chronbach's alpha to exploratory factor analysis as a method to demonstrate convergent and discriminant validity. There is an appropriate number of tables to visually demonstrate complex topics in-text. Overall, the chapters are well-organized and easy to follow with a working knowledge of basic stats. The introductory chapters have been intentionally placed to introduce readers to basic principles. The following chapters could be assigned as readings in any order that fit with the student's needs (but I find the order of these chapters appropriate, as-is): Chapter 9 Survey Research, Chapter 10 Experimental Research, Chapter 11 Case Research, Chapter 12 Interpretive Research, Chapter 13 Qualitative Analysis, Chapter 14 Quantitative Descriptive Statistics, Chapter 15 Quantitative Inferential Statistics. The final chapter, 16, covers Research Ethics, which seems to have been lopped on at the end of the text. It would be a better fit in the first third; perhaps integrated into one of the first several chapters with a nod toward the evolution of social research.

Regarding navigation, the pdf online version does not allow for creative navigation through the document. Graphics and charts are clear and easy to see in the online pdf version. They are a little smaller than I would like on the page, but the text is clear and the tables and graphs are visually appealing. It looks like most of the graphics were created using PowerPoint. One odd thing I noticed is that the paragraph spacing is inconsistent. In one section, the spacing between paragraph lines seems to be set at 1.25, and then, for no apparent reason, the line spacing moves back to single space. This is not visually distracting, just peculiar. Overall, the graphics in the online version are much clearer than in the softcover print version, which prints only in greyscale, with quite a bit of granulated distortion in the figures.

I did not notice any writing errors.

The research topic examples represented a diverse array of research topics, methods, fields, etc. The overview of science, scientific research, and social science was welcomed and unique to this text. Some areas for improvement would be to include historical scientific figures who are not all male, and link critical methodology in a clearer manner with specific critical and cultural examples of this form of research.

Reviewed by Lee Bidgood, Associate Professor, East Tennessee State University on 10/29/19

The text seems comprehensive, covers a wide range of research approaches, and parts of the research process. I will have to supplement with more of the area-specific writing that my students need, but this is easily added in the adapted version... read more

This text seems to follow the path of other texts that outline research design and methods, such as the Creswell book that I have used for several semesters. I do not detect bias in the text, or any significant errors.

I will discuss disciplinary relevance rather than chronological applicability (which other reviewers have already addressed thoroughly). The course for which I seek a textbook is meant to prepare students in a non-discipline-specific regional studies context, and for a range of methodologies and research design possibilities, mostly in the social sciences and humanities. This text is most relevant to the potential research programs of our students in discussions of the precursors to research design in Chapter 2 (“Thinking like a researcher”) and of the using and creating of theory in Chapter 4 (“Theories in Scientific Research”).

The authors’ prose is clear and easily comprehensible. Definitions are clear, and sufficient (jargon is explained). There could be more examples to clarify and assure comprehension of concepts, I plan to add these in my adaptation.

There is not an overt intra-chapter organization scheme that is consistent from chapter to chapter--each chapter differs in the sorts of content, that some sort of generic outline would feel forced, I think. The “feel” of the text, though, is consistent, and effectively conveys the content.

Because it uses footnote citations instead of endnotes / parenthetical citations, each page contains all of the references contained on it, which helps with modularity. The portions of the text that are less relevant to the course I teach (i.e. the more technical and statistical chapters, such as Chapters 6, 7, 8, 14, and 15 are easily omitted; I will be able to adapt portions of this text (i.e. the discussion of sampling in Chapter 8) without needing to provide all of the chapters. Some of the more technical vocabulary will require editing and explanation, but this seems manageable for me as an adapter.

The book is logically organized and the topics make sense in the order presented. I agree with another reviewer that the ethics portion seems like an appendix, rather than an essential and structural part of the book. As I adapt this text, I would address ethics at the beginning (as I do in my current teaching of research methods) and infuse the topic through other sections to address ethics-related concerns at all stages of research design and implementation. The author’s choice to use footnotes for references is not the one that seemed logical to me at first - it seems “elegant” to put all the references in a list at the rear of a book; now, reading through the whole text, however, I see some value to having the entirety of a citation at hand when reading through the main body of the text. Still, I miss the comprehensive list of works cited at the end of the book, which I would add to a text that I create, since an e-text is not limited by the economics of physically-printed books.

The text is workable as presented in the PDF document that I downloaded. Charts and other imagery are usable. There are no extra navigation features (a link to take a reader to the table of contents in a header or footer, etc.). I am left wondering if, in a PDF form, an OER textbook would be more useful with more navigation features, or if they might make the document buggy, cluttered, or otherwise affect use.

I did not detect any issues with grammar, usage, etc. in the text.

There is a lack of specific examples that might lend a sense of wide scope / global appeal to the textbook, and create an inclusive atmosphere for a reader/student. The author has stated that they hope to translate and widely distribute the text - perhaps, as is the case in the syllabus that the author provides, the hope is that in use for a course, additional readings will provide local knowledge and place-, culture-, and discipline-specific details and context.

This is a solid text that will provide a framework for adaptation in another disciplinary / area context.

Reviewed by Kevin Deitle, Adjunct Associate Professor, TRAILS on 10/6/19

I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. The structure and arrangement of the book differs from my own understandings of research and how I present it in class, but all the material covered in my class appears in the text, and it can be ordered to fit my syllabus. This text spends more time with statistics than I include in a research course, but again, that can be omitted or just used for reference. The book does not include either an index or a glossary, which is unfortunate for anyone who wants a paper version. Of course, most students seem to prefer an electronic text, so I assume they use a search function rather than an index.

I have not spotted any glaring errors, other than an occasional grammatical slip or a cumbersome edit. The author includes a few citations, usually following APA style, but employs footnotes instead of a reference section. The content mostly aligns with my own conceptions of research, although it does have a different arrangement from my presentation in class. This does not suggest that the content is wrong, only that I would likely rearrange it to suit my instructional sequence. I sense no bias in the presentation, including the historical or ethical portions, or sections that mention religion. I’m comfortable that I could rely on this book in class without worrying over slanted content or editorialization.

Research is something of a traditional topic, in the sense that changes or evolutions move at a comfortably slow pace. I expect there is very little of this text that is likely to become obsolete any time soon. The flip side is there is little in this book that is necessarily cutting-edge, but that is not the fault of the author at all. And in the unforeseeable situation where a new protocol or a new advance in either statistics or research warrants an update, I think the organization and the modular design will allow that to happen without major upheavals in the structure or arrangement of the text.

As mentioned elsewhere, the writing is comfortably academic without becoming dense or burdensome. I have seen introductions to research that were more casual and probably fit a beginner audience better than this would, but I daresay this is intended as a core text for a graduate-level class, and for that reason, can be expected to sound less approachable and more authoritative. The text employs features for fast visual reference, to include breaks in the text to allow for visual elements, and bolded text where key terms are introduced or defined. While this would probably not be a particularly exciting text for a self-study course, it will sit well with classes that need a reference text that takes the time to explain concepts with some authority.

Structurally the author has a style and sticks to it throughout the text. Visually this book is sparse, and it will require some effort on the part of the professor to make the content digestible in a classroom environment. However, that also suggests that the arrangement and format remain predictable from the first page to the last, without any surprises in presentation or discourse. Research has a tendency to step on its own toes when it comes to terminology, but this text follows those conventions for the most part, making it mostly congruent with other research texts I have seen. I think this book would complement other research texts without causing too many difficulties in terminology or arrangement.

The author suggests in the preface that the work was intended to be rearranged by sections, and I can appreciate how the chapters and structure support that statement. I do see this more as a foundational reference for a graduate-level course than a self-study text though, and it has the feel of a reference work to it. Text appears in large blocks, is illustrated sparsely, and has no callout texts or pull quotes. Key words are bolded but get no more embellishment, which again suggests a reference rather than an instructional work. I’m sure this material could be the groundwork for a more reader-friendly presentation, if someone wanted less of a reference and more of a textbook.

This might be the most appealing point of the text for me. As I mentioned earlier, I like the overall sequence that the author follows, but at the same time I can appreciate how the sections can be detached and still stand alone. The logic follows principles and theory through to fundamentals, then diverges to cover the details that fit more complex or esoteric versions of research. There is enough statistical explanation to avoid vague generalizations, but at points I expect it would overwhelm a beginner. I would prefer ethics was near the start of the text, rather than an epilogue; our course is arranged to require students to complete ethics training before they may pursue later assignments. But this is easily solved.

On the whole the text is satisfactory, the layout from page to page is acceptable, but there’s a minimum of graphic elements or visual components. Some of the statistical formulas or graphs are low-quality, or have suffered compression artifacts. Their appearance in the text is logical though, and the few tables or diagrams that do appear are in color, with arrows or labels to ease interpretation. The table of contents is primitive, and there is no way to navigate specific tables or diagrams except moving page by page in sequence. External sites are hyperlinked, and the table of contents has been designed for electronic use, but there are no cross-reference features. This gives the text the feel of a word processed document converted to a PDF format, intended to be printed. Overall, the core content is strong, as a printed book it is probably acceptable, but as an electronic textbook it lacks some contemporary features.

I have found very few grammatical errors or incomplete sentences, and none of those were so flagrant as to make the text unusable. If this had been submitted as an academic work it would likely earn some criticism for style or grammar (the author seems to follow APA style, but tends to footnote references simultaneously), but this never impedes the delivery. The text is readable at a collegiate level without becoming over-academic, or for that matter, casual.

The text manages to broach sensitive issues in a level and balanced format; in particular the ethics section manages to discuss some well-known failings in past research without becoming overly critical of the researcher or the participants. Arguably, research and its underlying processes are mostly mechanical (or at least standardized), meaning it is possible for individual researchers to violate cultural, ethnic, racial, or other boundaries, but the underlying science is generally unconcerned with those issues. In that sense, the book has very few opportunities to broach hot-button topics except when dealing with historical or ethical examples.

I appreciate this text as a starting point for a more accessible design, or as a background reference for a full course introducing social science research. I see it as a foundation text or an external source for students who seek a concise fallback for lessons, and with content that is compatible with other textbooks. In many ways it needs much more to compete with established textbooks or dedicated electronic learning tools, and in some places I would like more references for the material that is included. On the whole though, I would consider this as the core text for my next introductory research course.

Reviewed by Krystin Krause, Assistant Professor, Emory and Henry College on 4/10/19

This text covers the core elements of a social science research methods course at the undergraduate level. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. The concise chapters are undergraduate-friendly and will make a solid foundation with the addition of supplemental reading assignments that show examples of the concepts discussed in the textbook. There is no glossary or index, but keyword searching in the pdf copy is simple and effective.

The text seems to be an accurate reflection of social science research methods, particularly when considering causal inference and hypothesis testing. If your course is also covering descriptive inference, you would want to supplement the text with additional material.

Research methods is not a subject that changes quickly, and thus this text will not become obsolete quickly. The only things that may need updating over time are any links that lead to pages that no longer exist. Any other updates will be relatively easy and straightforward to implement.

The text is written in a style that is accessible for undergraduates. It follows the conventions of including relevant key words and phrases in bold and includes easy to follow definitions of terms. I anticipate that undergraduates will also appreciate how concise the text is.

The chapters are consistent in both terminology and framework. It offers a unified organization that also allows for mixing and matching chapters if an instructor wishes to teach the chapters out of order.

The organization of the text lends itself to be adapted to any introductory social science research methods course, regardless of what order the instructor wants to place the topics being discussed. Chapters could be taught out of order and can be subdivided accordingly.

While it is certainly possible to break apart to teach the text in a different order than how the chapters are originally offered, the progression of the text from the introduction to the chapters on qualitative data analysis is both logical and clear.

The text is free of interface issues, and charts and images appear to be clear and correct. The only exception to this are the links found in the sample syllabus at the end of the book. I was only able to get one of the links to work.

No grammatical errors jumped out at me. There are a few here and there, but they are not distracting for the reader.

The text is not culturally insensitive or offensive.

Because the book is concise, I would recommend its use in addition to other supplementary resources such as class lectures, academic articles that demonstrate the methods discussed in the textbook, and projects that allow students to experience the methods first-hand. It would make a good alternative to more elaborate basic research methods textbooks when the instructor wishes to keep costs for the students low.

Reviewed by Mari Sakiyama, Assistant Professor, Western Oregon University on 4/5/19

The textbook covers the major key elements that are essential in research methods for social science. However, both the breadth and depth of information might be too elementary for Ph.D. and graduate students. With the use of additional reading... read more

I did not notice any errors or unbiased content. The author had provided accurate information with simple/straightforward examples that can be understood by students with various discipline in social science.

Given the nature of the subject, the content is considered to be up-to-date. However, although there will not be too many changed expected in the research strategies and designs, it is important to note that some of the sampling procedure have been facing some changes in recent years (e.g., telephone survey, online sampling frame).

The textbook provided the content in a clear and concise manner. The author, instead of providing a complex list of academic jargon/technical terminologies, but rather clarified and explained these terms in a simple and straightforward fashion.

Overall, the content was consistent throughout the textbook. Starting with a broad/general statement of each chapter topic, the author narrowed it down to smaller element which is easy for the reader to follow and understand. As he provided in CH.6, it might be even more helpful to have summaries for each chapter.

This textbook is certainly divided into smaller segments, but maybe too small (short). However, as mentioned above, this problem can be solved by adapting additional readings.

The textbook is significantly reader-friendly and well-structured. Although some instructors prefer to cover some chapters earlier (or later) in their semester/term than others, this is just a personal preference. There are no issues with the author’s organization of the textbook.

Overall, the use of indentations, bolding, italicization, and bullet points, was consistent. However, many of the images were blurry (e.g., Figure 8.2, Table 14.1) and some fonts were smaller than others (i.e., pg. 34).

I did not notice any grammatical errors. Even I had missed some, they would not be destructions for the reader. (Note: The scale is confusing. What I mean by '5' is the least amount of grammatical errors were found)

The author did not use any concept that was insensitive or offended people and/or subjects from various backgrounds. (Note: The scale is confusing. What I mean by '5' is the least amount of cultural insensitivity or offensiveness were found)

See my comments above.

Reviewed by Candace Bright, Assistant Professor, East Tennessee State University on 11/7/18

There are some key elements that I would expect to be in a social science research methods book that are missing in this book. I think this comprehensiveness may be appropriate for an undergraduate course (with some supplementation), but the text... read more

The information in the book seems accurate. When necessary, it is cited appropriately.

The content is very relevant. Because the book focuses on methods, it does not need too much change over time. It was published in 2012. The main area that might need to be updated in the discussion regarding the Internet and how it impacts our research options. Perhaps more could be added on machine learning, AI, web-scraping, and social media in general. I increasingly see studies conducted either using social media content or recruiting through social media; neither of these are addressed in this book.

I really like the way the book is laid out. In particular, the qualitative and quantitative analysis sections are well organized. They succinctly cover a lot of information is a way that is very consumable. There were some instances, however, where I thought wording lacked clarity or definitions needed further explanation.

I do not see any issues with consistency.

I like the organization of this book and each chapter does a good job of standing alone on important topics within research methods. The sections within the chapters are clearly marked and logically organized.

The organization is clear and logical. It covers important concepts in research methods in the same order in which they are typically taught, with the exception of ethics. In this book, ethics comes last, whereas I would have taught it earlier.

This might be minor, but I noticed some places where the spacing was different and it was a little distracting. Overall, it is well formatted.

I didn't notice any grammatical errors.

Overall, the text book could use more examples and applied examples, but when present, I find them culturally appropriate.

I have mixed feeling on the image on the cover and the limited visuals within the book. I also don't feel like this textbook has enough visuals or figures that could be used to support comprehension of the materials. More examples would also be helpful. Overall, however, the author has presented a lot of information succinctly and I look forward to using this text (in parts) in future methods courses.

Reviewed by Alysia Roehrig, Associate Professor , Florida State University on 11/5/18

This text provides an overview of many important issues for my graduate research methods course in education. There are a few important topics missing, however. In particular, types of correlational designs and mixed-methods designs would be important to include. Likewise, single-subject designs are not mentioned at all. I will have to supplement these areas with other readings. I also think more about specific threats to internal and external validity should be provided, along with information about when and how certain threats are avoided. There is no glossary but being an online text, it is simple enough to search for certain terms.

Content seems to be error-free and unbiased for the most part. However, I have an issues with the language in chapter 2 about about strong and weak hypotheses because it seems to treat the experimental/causal hypotheses preferentially. The author also states that hypotheses should have IVs and DVs...but what about non-experimental hypotheses?? I think students could be misled by this and I think this requires a lot of unpacking. Thus, I do sense somewhat of a prejudicial treatment of quantitative and experimental research methods. I plan to add information to pages 13 and 15 about how qualitative methods do not involve testing hypotheses though the results might be an inductively derived hypothesis or nascent theory.

The content covered is pretty standard and basic and so not likely to be out-dated soon.

The writing is straightforward and easy to follow.

The use of terms and framework seems to be consistent throughout the book.

The chapter and subject headers all seem to be clear. They will make it easy to select sections for assignment or reordering if revising for use.

The order of topics makes sense and is aligned with the process of conducting research.

The hotlinks in the table of content are nice, but additional navigational aids would be helpful. For example, a back to the Table of Contents (TOC) button would be nice, as well we a list of all subsections (hotlinked) added to a long version of the TOC.

I have not noticed any egregious problems.

There are not many examples, which means there is little opportunity to offend.

Reviewed by Eddie T. C. Lam, Associate Professor/Editor-in-Chief, Cleveland State University on 9/12/18

The book provides ample information for a research course, but it may not meet the needs of every instructor. For this reason, the book should include a few more chapters so that course instructors can have more options for a semester-long research course. For instance, at least one chapter should be on nonparametric statistics and their applications on research studies, while another chapter should be on research paper writing (e.g., what should be included in the Introduction, Methods, Results, Discussion, and so on). For the Appendix, it is nice to provide a sample syllabus for the instructors, but the students may want a sample research paper in proper journal or thesis/dissertation format.

Most of the information presented in this book is accurate. The author has mentioned in Chapter 5 (p. 37) that “construct validity” will be described in the next chapter, but I don’t see any construct validity in Chapter 6 or Chapter 7. In addition, the author may want to emphasize what “alpha is set to 0.05” means. Does it mean the p-value has to be less than 0.05 (p. 125) or p ≤ 0.05 (p. 130) to reject the null hypothesis?

In terms of content, the book has fairly good amount of information. However, it is also obvious that many terms appeared in the last few decades are missing from the book. For example, Survey Monkey and social media can be included in Chapter 9 (Survey Research) and structure equation modeling can be introduced in Chapter 15.

The information is presented in layman’s terms without any jargon. New terms are bolded with clear definition, and sometimes they are illustrated with examples.

The terminology and framework are consistent throughout the text.

The chapters are logically presented and they are grouped under different sections. As mentioned before, the text should add a few more chapters for the course instructors to select from.

In my opinion, “Chapter 16 Research Ethics” should not be standalone (under the “Epilogue”) and it could be part of the “Introduction to Research” (i.e., the first few chapters).

The text does not have any significant interface issues, though the font size of the figures can be larger (e.g., they should not smaller than the font size of the text).

Overall, the text contains very few grammatical errors. However, in a number of occasions, a comma is added for no reason, such as “. . . we must understand that sometimes, these constructs are not real . . .” (p. 44). It is also unnecessary to always add a comma before the word “because.”

The content of the text is not culturally insensitive, and the author does not present any offensive statements or comments anywhere in the text.

It’s time to have a second edition.

Reviewed by Amy Thompson, Associate Professor, University of South Florida on 6/19/18

This text is a nice overview of some of the key points in social science research. There are useful definitions of key terms throughout the book, although none of the chapters go into much depth. It should be noted that there is more of a focus on... read more

Overall, the text seems accurate. There are some cases when the author gives advice that I don't agree with (i.e. advises against even-numbered Likert scale items, p. 48; encourages people not to do "trendy" research, such as that on new technology, p. 24). Even so, most of the information seems to be accurate.

The book is relevant. It gives a good overview of the theories and methods, which change little over time. I would suggest a few updates, however. Currently, there is controversy on the over-reliance of the p-value, and it would be useful to include some of this discussion on p. 125. Also, on p. 73, the author talks about "mail-in" and "telephone" surveys as a research method, and even goes on to say on p. 74 that most survey research is done by self-administered mail-in surveys with a pre-paid return envelop. This information needs to be updated, as currently, much of the survey research is done via online platforms.

The book is quite clear and provides succinct definitions.

The book seems consistent throughout.

The chapters are short and very readable. There would be no problem dividing the chapters up for a class, or using a portion of the book.

The topics are presented in a logical manner.

The text in some of the tables is blurry, especially when enlarging the PDF. Perhaps the print copy is clearer. The text outside of the tables is clear.

I didn't have any trouble reading or understanding the text.

This book is not offensive.

Overall, this is a good book to have as a reference or an additional text for a class. For my field, it wouldn't be sufficient to use as a stand-alone text. Although its intended audience is graduate students, it's a bit too basic for Ph.D. students, in my opinion. It would be a good text for an intro to research class at the UG or MA level, as a supplemental text. I would recommend it to Ph.D. students to use as a reference because of the key terms included. It's great that a resource like this is available for free to students and faculty in a wide variety of disciplines.

Reviewed by Huili Hao, Assistant Professor, University of North Carolina Wilmington on 5/21/18

This book provides an introductory and broad review of some of the key topics in social science research including research theories, research design, data collection, data analysis and research ethics Students from different disciplines in social science will find these topics useful in developing their research method skills. However, the book falls short on the depth of the essential concepts. It would also benefit from offering more practical examples for some of the theories or terminology. A glossary is not found within the text, although the table of content lists the topics covered in each of the modules.

Overall, this textbooks seems to be accurate.

The relevancy and longevity of this book are great. It focuses on fundamental research methods as well as incorporates current research approaches. Given the nature of research method that does not change drastically, content is up-to-date and won’t make the text obsolete within a short period of time. The topics are written in the way that necessary updates will be relatively easy and straightforward to implement.

The text is written in a logical and concise fashion. The text is easy to follow. I did not find any jargon or technical terminology used without explanation.

The text consistently matches the topics outlined in the table of content.

The text is clearly organized into five modules: introduction to research, basics of empirical research, data collection, data analysis, and research ethics. It also includes a course syllabus, which is nice and useful. Each of the modules / chapters can also be used as subunits of a research method course without putting the reader at a disadvantage.

The table of content is clear and the chapters are organized in a logic order.

I downloaded the PDF version of the textbook and find it easy to read offline. The formatting, navigation and images/charts seems clear and appropriate.

I had no trouble reading or understanding the textbook.

Overall, this is a good textbook that covers a broad range of topics important in research method. As this textbook is designed as a succinct overview of research design and process, more practical topics are not included in much detail such as how to conduct different statistical analyses using SPSS or SAS, or how to interpret statistical analysis results. It would require additional materials / textbooks for graduate level research method courses.

Reviewed by Jenna Wintemberg, Assistant Teaching Professor, University of Missouri on 5/21/18

I use almost the entire text in an undergraduate Health Science research methods course. I do supplement the text with additional readings on: -selecting a research topic -developing a research question -how to read scholarly articles -how to search the literature -mixed methods research -community-based participatory research -disseminating research findings -evidence-based practice

I have found this text to be accurate, error-free and unbiased.

The content is written in a way that will allow for longevity of use. I compliment this text with current peer-reviewed journal articles which are relevant to my students' career paths and can be updated more regularly.

I have found the book to be clearly written and appropriate for upper-level Health Science undergraduate students. Technical terminology is sufficiently defined.

The text uses a consistent framework throughout.

The text is easily divisible into smaller reading sections. I assign the chapters in an alternative order and students have not had problems with this.

I assign the chapters in an alternative order for my undergraduate students. For example, I have students read chapter 1 following by chapter 16 (research ethics).

There are no interface issues.

The text is free of grammatical errors

The text is not culturally offensive.

Because of the basic nature of the materials presented and clear writing, my upper level undergraduate students have done well with this text. The brevity of the chapters and bolded key terms particularly appeal to the students. I do have to supplement the text with journal articles and other materials. However, I am pleased with this straight-forward text and will continue to use it as the main text in my course moving forward.

Reviewed by Amy Thompson , Associate Professor, University of South Florida on 3/27/18

Reviewed by Debra Mowery, Assistant Professor, University of South Florida on 3/27/18

The text covers all of the areas of basic research information that I cover when I teach research and research methods in the social sciences. The table of contents is straight forward, and the chapters are arranged in a fluid, logical order. The nice thing with this text is that you could rearrange as you see fit for your course without an issue. There is also a sample syllabus in the appendix which could be useful when setting up a course. I feel this text is great for students who may not necessarily be interested in research as a job prospect (their interests may be more clinical in nature) but need the basics of research in a clear, easy to understand, and straight forward format.

I felt the content of this text is accurate, unbiased, and free of any glaring errors..

This text appears to be up-to-date including issues such as web-based or internet surveys and questionnaires. I did see that the copyright for this text was 2012 so not sure if revisions or updates to the original have happened or not. It seems that there should be a way to document if this is the latest version of the text. This may be useful information for users of this text.

This textbook is written in a concise and easy to read and understand manner - it is very user-friendly. This is a plus for students - it means they may actually read the text! Jargon and acronyms were appropriately defined with an explanation of how the terms originated and came to be utilized in research. This is appealing to me as an instructor so there is background information for the students.

The consistency of this text is uniform throughout. One appealing issue I liked was the use of social science examples when explaining topics like theories or paradigms. In some research texts examples are utilized but they may not necessarily be in the discipline that you are teaching.

I do like that this text is divided into 16 chapters which is perfect for a 15/16 week semester. The chapters are not so overwhelming that other supporting readings cannot be assigned to students as well to assist with explanation of the weekly topic. The text serves as a great base for building weekly assignments/readings for students.

The majority of the text is presented in a logical format. One issue I had with the order of the chapters in the text was including Ethics at the end in the Epilogue as if it was an after thought. Ethics, ethical behavior, and rigor are a must in research and should be addressed early on in the research process. Having said this, I feel the chapter on Ethics should be moved up further in the chapter line-up (possibly to chapter 2 or 3).

I did not experience any navigation problems. There was however, distortion with many of the images especially the graphics that were utilized throughout the text. A review of the images/graphics and an update to them would be useful. If this e-text has not been updated since 2012 this may be the issue for the distorted figures.

There are a few grammar/spelling/word choice errors. The errors do not effect the content of the text but when reading it makes you pause and think - what is trying to be said here? It might be useful to the author to have the text proofread or copy edited to resolve these issues.

In reviewing this text I did not see any examples that might be deemed offensive or insensitive to other cultures, orientations, ethnicities, etc,

Reviewed by Kendall Bustad, Clinical Assistant Professor, University of Maryland, College Park on 2/1/18

This book covers all the important topics in social science research and is approachable regardless of discipline and course level (high school, undergraduate, graduate, and even post-graduate). It provides an introduction to philosophy as well as components of research. You'll find yourself returning to the basics, and it gives strong foundations. Specifically, I find that the book provides a very comprehensive introduction to research philosophy and research designs, particularly in addressing how to come up with research questions, which is often a challenge for new doctoral students. However, due to the succinct nature of the book, some sections seemed lacking. Particularly, in the more practical steps of the research process (the data collection and data analysis sections)

The text does not seem to be biased in any way.

The content of the book is up-to-date. The text included relevant descriptions of current software commonly used in research.

If you want to have a compressed body of knowledge of social science research, you may read this one. Beneficial.

The text consistently matches the book outline. Terms were used consistently throughout the text.

Each chapter can stand along as a separate lecture. The headings, subheadings, an bold items are great additions that highlight important topics or definitions.

Most of the text flows in a logical, clear fashion. However, it may be clearer to have quantitative data analysis methods immediately follow quantitative data collection methods, and similarly for the qualitative data collection and analysis.

No issues noted.

There are a few grammatical errors.

There does not seem to be any culturally insensitive or offensive text.

Reviewed by Jason Giersch, Assistant Professor, UNC Charlotte on 2/1/18

The biggest challenge faced when writing a book about research methods is the decision about what NOT to include. Instructors and disciplines within the social sciences vary widely in terms of their expectations of students in an introductory methods course, and thus their needs from a textbook also vary. This textbook does an excellent job setting the stage for what we mean by "research" in the social sciences. Students will develop a solid foundation in the goals and rationales behind the methods social scientists employ. Students will also develop a comprehensive vocabulary in social science research methods. However, the book falls short in the development of students' research skills. Learning about methods is important, but not much is gained from that knowledge unless the student also learns how to execute at least some techniques. Furthermore, there is little guidance for the student regarding how to properly write a research paper, something that many instructors will find disappointing. This book is probably comprehensive enough for a 3-credit methods course with test-based assessments in a program where few students pursue graduate work. But if teaching students to actually conduct and write up research is important to the course, there are much better books out there (although at significant cost).

Content is accurate and unbiased.

The relevance and longevity are strong. This book describes some of the most current methods but still focuses on the foundations of research that will be appropriate for the foreseeable future. Updates could be easily made every five years or so to keep up with methodology.

The writing is very easy to follow with helpful examples. Prose is direct and to the point, giving only the essential information so as to allow the learner to develop a grasp of fundamentals. The section on theory, for example, is refreshingly clear for learners. Graphics aid in understanding the material in many parts.

This textbook uses consistent terminology and framework.

The textbook is appropriately structured for a standard 15 week course and even recommends a syllabus. Adapting it to other formats, like a 5 or 10 week summer course, might be tricky. There are ample headings and sub-headings, however, that allow the text to be divided into smaller chunks, which is nice to see given how many students feel overwhelmed by this topic.

Organization and flow is excellent. From an education and instructional standpoint, I wouldn't change the organization.

The simplicity of design is a strength -- students should have no difficulty opening and viewing the text on a wide variety of devices. On the downside, there are no bells and whistles that many some students have come to expect from online textbooks.

The casual writing style makes it very accessible, but one consequence is the very occasional grammar problem. It's a trade-off, I think, that is worth making.

Research methods are pretty "culturally-neutral", so there's nothing in it I would see as insensitive or offensive. That being said, the text recommends SPSS and SAS as software to use while neglecting free options (like R) or more ubiquitous programs (like Excel). For a textbook intended to keep costs at zero, these are glaring omissions.

I could certainly see this book being used as an accessible and low-stress introduction to the world of research methods in the social sciences. The main improvements I would like to see would be (1) sidebars throughout that guide students through the paper-writing process and (2) activities using datasets for students to actually perform some of their own quantitative analyses. Perhaps a companion volume could address these needs.

Reviewed by Nathan Favero, Assistant Professor, American University on 2/1/18

This text provides a fairly comprehensive coverage of topics. It is broad, hitting most of the major topics I need to cover in an intro PhD seminar for social science research methods (I'm teaching public administration/policy, political science, and criminology students). That said, there is not a ton of depth in this textbook. I don't view that as a negative; I prefer having a textbook that gives a basic outline of essential concepts and then fleshing this out with supplemental readings, but some might prefer a textbook that goes into more depth.

Overall, this textbook is accurate but not perfect. Sometimes I wish it was a bit more precise, particularly in coverage of quantitative topics. But I use another textbook to more fully cover quantitative topics anyway for my course.

I would say this textbook reads as modern and relevant, although perhaps it could do more to address emerging methodological concerns in social science disciplines (p-hacking, replication, pre-registration of research designs, etc.).

The textbooks is very accessible and easy to read for someone new to the disciplines of social science.

The book appears to be consistent.

I've assigned students to read the chapters in a different order than they are presented in the text had have not encountered any problems. Chapters are coherently organized into distinct topics.

The organization of the book is logical.

Overall, this book is easy to read and use. Graphs are not always high-resolution, but they are readable.

I have not noticed many grammatical errors.

I have not noticed any clear biases or insensitive handling of material in the book.

I'm delighted to have found this book. It's a great starting point for teaching my students to think about the basics of social science research and provides a nice skeleton on which I can layer more in-depth material for my course.

Reviewed by Holly Gould, Associate Professor, Lynchburg College on 8/15/17

The author states that the text is not designed to go in-depth into the subject matter but rather give a basic understanding of the material. I believe the author covers the necessary topics with enough depth to give the reader a basic... read more

I found no errors in content and no observable bias in any of the chapters.

This text will continue to be relevant because of the nature of the subject matter. Updates may be needed to reflect more current research or trends, but no major changes should be necessary.

The text is written clearly and succinctly. The text is understandable for those who are new to the subject matter.

I found no inconsistencies in the text.

The text is divided into logical chapters, and subheadings seem to be appropriate. Chapters can be read fairly easily in isolation without putting the reader at a disadvantage.

The topics are presented in a logical fashion. Some of the chapters have summaries or conclusions, while other chapters seem to end abruptly. It would be helpful to the reader to have a summary statement at the end of each chapter.

I downloaded and read the text in a PDF reader and had no trouble with formatting, navigation, or images/charts.

The text contains some grammatical errors but the errors are minor and do not distract the reader.

This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods. It contains information essential to understanding quantitative and qualitative research. The charts and images provided enhance the understanding of the text. At times, the author digs a little deeper into background and formulas for certain statistical ideas, which may be unnecessary to someone looking to understand the basics (e.g. the formula for Cronbach's alpha). Some chapters seem to end abruptly while other chapters have excellent summaries or conclusions. There is one recommendation that goes against the prevailing wisdom on survey design. On page 77, the author indicates that a survey should begin with non-threatening questions such as demographic information. Many experts have written that these types of questions, when asked at the beginning of a questionnaire or survey, can affect the respondents' answers to subsequent questions and should be saved for the end. Aside from these minor issues, this text is a great resource and I recommend it.

Reviewed by Virginia Chu, Assistant Professor, Virginia Commonwealth University on 4/11/17

The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. It covers a broad range of topics, research theories, research process, research design, data collection methods, qualitative and quantitative research, statistical analysis, and research ethics. This book touches on many important topics related to the scientific research process that is typically found in several different text. As the author stated in the preface, this is an introductory book that is minimalist by design, it does not contain in-depth discussions or many examples. This is both a plus and a minus, as it makes the book more compact and allow it to be used by many different disciplines, but may be harder for students to relate. The comprehensive nature of the book allows the reader to be exposed to all the necessary topics, or provides a structure for a course instructor, who then supplements with additional materials to create the depth that is specifically tailored for their discipline. Specifically, I find that the book provides a very comprehensive introduction to research philosophy and research designs, particularly in addressing how to come up with research questions, which is often a challenge for new doctoral students. However, due to the succinct nature of the book, some sections seemed lacking. Particularly, in the more practical steps of the research process (the data collection and data analysis sections), as a new doctoral student will certainly need more details than what is provided in the text to begin their first research endeavor. For example, in the quantitative analysis section, only a handful of basic analysis were discussed in detail (univariate analysis, hypothesis testing, t-test, regression). I would like to see a more practical discussion of ANOVA, as it is a very commonly used statistical analysis tool. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. The discussion on research ethics is certainly a nice addition to the book where many other research methods texts lack. An index/glossary is not included with the text, but the table of content clearly outlines the topics discussed for each module.

The book is overall accurate and unbiased. The book covered different social science research methods fairly. I did notice a discrepancy in Figure 5.1, where “single case study” is plotted on the graph as high in external validity, but the rest of the text frequently brought up case studies (especially single case studies) having the difficulty with generalizability which should have low external validity.

The content of the book is up-to-date. The text included relevant descriptions of current softwares commonly used in research. It will also stand against the test of time as research methods do not change drastically. The content can also be updated to reflect new technological updates. One needed update noticed is on page 120, where the authors cautioned that only smaller datasets can be stored in Excel and larger datasets needs a more elaborate database system. While the statement is still relevant, the numbers the author cited appear to be old and Excel has since been updated to handle larger datasets (1,000,000 observations and 16,000 items) than what the author had listed.

The content is written in a very clear and concise manner. It is easy to read and to follow the author’s arguments. I did not notice any jargon or technical term that was used without explanation.

The book has a modular organization, with each chapter designed to be used for a different lecture. Each chapter is a self contained unit that can be used as its own reading. Each chapter also has subsections that are clearly marked with subheadings. Important terms are also highlighted by bolding, making it easy for the reader to identify the important concepts.

The chapters of the book flows logically from one to the next. The current layout of the text groups all the data collection methods together and all the data analysis methods together. It may be clearer to have quantitative data analysis methods immediately follow quantitative data collection methods, and similarly for the qualitative data collection and analysis. This could be easily done based on the course instructor preference.

No interface issues noted.

The text is generally free of grammatical and spelling errors, with the exception of 2 minor typos noticed on page 139 (“Rik”, “riska”).

The text and examples provided are not culturally insensitive or offensive.

The text is easy to read and covers a broad and comprehensive range of topics important for research. I particularly enjoyed the discussion on research ethics which is often missing in many research methods texts. I would recommend discussing that topic earlier, together with research design, as many of these ethical issues and IRB requirements come up during research design phase. As the text is a meant to be a concise overview of the research process, the more practical topics are not covered in as much detail and would require supplementary material.

Reviewed by Brock Rozich, Instructor, University of Texas at Arlington on 4/11/17

The textbook covers the majority of what would be expected for a research methods course. It builds upon basic topics to more advanced concepts, so students from various backgrounds of research experience should still find the text useful. The glossary for the text is clear and a sample syllabus is provided by the author for individuals wishing to use this text for their course. The text was lacking an index, which would prove helpful for students.

The text is accurate and up-to-date with research methods in the social sciences. A variety of data collection methods and concepts are discussed in an easy to understand manor.

The content is up-to-date with research methods in the social sciences. The text should be able to prove useful for a research methods or as supplementary material for a statistics course for the foreseeable future. While I looked through this text with a focus on using it for a psychology course, I feel that this text would be useful across other fields as well.

The book was clear and built upon concepts in a thorough manner. Technical terms were well defined, though as mentioned previously, an index would be helpful for this text for students to look up key terms if they became lost. The text would be useful for an upper-level undergraduate or introductory graduate level course.

The text is consistent throughout. There were no notable deficiencies in any of the content provided in each chapter.

The course is broken down into logical subsections and chapters. Introductory topics relating to research methods are provided early and are built upon in subsequent chapters. A sample syllabus and course outline are provided for instructors who wish to utilize the text for their class.

The book is constructed in a well-organized fashion, without any issues of chapter structure.

The PDF version of the text worked wonderfully on a laptop, with no issues of navigation or distortion of images. This text was not, however, viewed on a tablet or e-reader, which many students use for classes. Based solely on use of a PDF file on a laptop, the interface was flawless, however, if you are considering using this for a class, I would test it out on an e-reader/tablet first to make sure there are no issues with format/text size, etc.

The book did not appear to have any noticeable grammar or syntactical errors.

There were no notable instances of cultural insensitivity throughout the text. Examples were broad and not specific to an individual race or culture.

This is a wonderful open source option for a main text for a research methods course or as a supplementary option for a statistics course that also focuses on data collection.

Reviewed by Divya Varier, Assistant Professor, Virginia Commonwealth University on 2/8/17

The textbook adequately covers most fundamental concepts related to research methods in the social sciences. Areas that would need attention: a chapter introducing mixed methods research, and a deeper discussion on Research Ethics. More social science based examples on specific research designs, experimental research would be great. The research process could include steps involved in academic research with information on the publishing and peer review process.

Content is accurate for the most part. I would have liked a more nuanced discussion of reliability and validity concepts- introducing the concept of validity as conceptualized by Messick/Kane is needed. In social science, especially education (the field I work in), masters/ doctoral students need to be introduced to the complex nature of establishing reliability and validity. While the content covered is detailed, a more critical introduction of the concepts as being situated in the obtained scores as opposed to the instrument itself would have made the chapter stronger.

Content is for the most part up to date (see above comments for specific areas: reliability, validity, mixed methods); some examples may become outdated very soon (example of political movements in middle eastern countries for example).

The writing is excellent in terms of clarity. I appreciate the use of straight forward language to explain the multitude of concepts!

The text is consistent in its overall approach to research methods as well as consistent in its use of terminology.

Bold font for key terms is appreciated. More insets/boxes within chapters would be a great addition visually. Addition of research studies and discussion questions would be great.

The chapters are well-organized. Only suggestion would be to introduce research ethics early on in the book.

No issues whatsoever in this regard.

No issues with grammar

The text is best suited for universities in western countries although I did not identify any insensitivity that would hinder teaching and learning of research methods using this textbook elsewhere.

Specific chapters in this book will be useful for me, from an instructor's perspective. For example, Chapter 2 - 'thinking like a researcher' is wonderfully written. The chapter on Interpretive Research and Qual. Data Analysis are thorough and clear in presentation of concepts- I definitely would use these chapters in my Research Methods class.

Reviewed by Rachel Lucas-Thompson, Assistant Professor, Colorado State University on 12/5/16

As acknowledged by the author in the preface, this is intended as a survey book that doesn't cover all topics in great detail. The upside is that this is a flexible text that can be used in many disciplines; the down side is that the text is short on examples, which reduces readability. I also prefer a textbook that provides a more detailed discussion of the following issues, but could supplement the textbook with these discussion in class: a) confounding variables, b) writing a research report, and the parts of a research report, c) evaluating the internal and external validity of a study, d) how we handle Likert and Likert-type scales (with better reflection of the rich controversy about this issue), e) historical background that has informed our current ethical guidelines, and f) more detail about manipulated vs. observed independent variables. Also, the 'research process' section doesn't include a step for going through IRB review and approval, so overlooks an important step in social science research. I think more detail is provided about paradigms and theories than is necessary, but those chapters and sections could be left out of course reading assignments quite easily.

In general, I think this textbook would be best suited to a course where the textbook is seen as an overview to supplement course discussions rather than a detailed coverage of research methods principles.

As far as I can tell, the book is accurate. There are some terms that the author uses that are not widely used in my field (developmental psychology, human development & family studies) but the descriptions are clear enough that I think students will be able to understand what is meant (however, it would be great to acknowledge and discuss some of these variations in terminology so the burden isn't entirely on the students who are still learning these concepts).

Research methods and statistics content are unlikely to change rapidly, although with the increasing use of ecological momentary assessments, daily diaries, and internet sampling techniques, it might be useful down the road to include more detail about those techniques.

The book is easy to read and follow, although the lack of examples to clarify concepts sometimes reduces the clarity of ideas (but is in keeping with the philosophy of the book).

I haven't spotted any problems with internal consistency.

It would be very easy to divide this into smaller reading sections and assign at different time points.

In general the organization makes sense; the only exception is having research ethics as an epilogue, when ethical issues need to be considered before a study is completed.

My two suggestions for increasing are a) hyperlinking the table of contents so that it was easier to find exactly what you want in the textbook, and b) providing a more detailed table of contents (with subheadings) so it's easier to determine where in chapters you should reference.

I haven't found any grammatical errors.

The text is neither culturally insensitive nor offensive.

I think this book is very well-suited for intro graduate level courses in research methods, as long as instructors are comfortable with this as an overview supplement rather than a detailed stand alone resource for students.

Reviewed by Robin Bartlett, Professor, University of North Carolina at Greensboro on 12/5/16

Generally the major topics are covered. The table of contents (chapter listing) makes it easy to find content. Occasionally I found what I thought was a topic covered only minimally in a chapter - but then found additional information in a later chapter (e.g., treats to internal validity). Overall I'd say in comparison to most other texts with which I am familiar that most all topics are covered, to some degree, but some topics are covered less than I would expect in a doctoral level textbook.

I found no errors in fact in the textbook. I found it to be written in an accurate and unbiased manner.

Primarily due to the topic covered (research methods), I do not believe the text will become obsolete in a short period of time. I think updates could be easily added, and if the author decided to cover some topics more thoroughly, that could be accomplished relatively easily, too.

The book is written in an easy to read style. It is easy to understand. Technical terminology is explained appropriately. The author puts many words in bold type and then defines or describes the word. Students will like this approach.

I had no issues as I reviewed the book in terms of consistency of terms used. The text is internally consistent.

The chapters of the book are separated by natural divisions. It would be easy to use this book in a course on research methods, in fact, there is a syllabus included at the end of the book that could be used by a faculty member when course creating.

The textbook topics are presented in a logical fashion. The ordering isn't necessarily the same order I have seen in other texts, but the order is reasonable.

I had no major interface problems as I reviewed the book. Some of the diagrams in the book are a little out of focus, but, they are still readable.

I found no grammatical errors in the sections of the book that I read.

I found no cultural insensitivity in the text. I noticed the examples cited were from articles written by authors from different countries.

The book is easy to read and fairly comprehensive in terms of topics covered. Some topics are covered in less detail than in some other books I've had the chance to read / review. I am most accustomed to finding discussion of theories in separate texts and presentation of statistics that might be used to analyze quantitative data in separate texts. There are even a couple of chapters on qualitative methods in this book. So, the book covers a wide variety of topics and introduces them in a clear way. Topics are not covered in as comprehensive way as in many texts.

Reviewed by Kelly Pereira, Assistant Professor, The University of North Carolina at Greensboro on 12/5/16

This text offers a comprehensive overview of social science research methods appropriate for advanced undergraduate and graduate students. The text covers the basic concepts in theory, research design and analysis that one would expect of a text geared toward the social sciences in general. The text could be easily adapted and/or supplemented to fit any discipline-specific needs. While the text covers a broad array of topics, it is a bit superficial and lacks depth in some areas. More examples and case studies, for example, could improve the text's thoroughness. The text also lacks an index, glossary and discussion questions, all of which would have been quite useful for a text of this nature. I do like that it includes a chapter on research ethics and an appendix with a sample syllabus, however.

Based on my review, the text's content is accurate, error-free and unbiased. I liked that it presented both qualitative and quantitative research methods fairly, as this divide is often a source of bias.

The text contains up-to-date approaches to research methods and presents classic theoretical debates. The methods presented should not become obsolete in the near future. Any new trends in research methodology could be easily updated in future versions of this text. I feel the text will be relevant and useful for multiple years.

The text is generally well written. It presents the information in a clear and concise way. I find it provides sufficient contextualization and examples for graduate students with some background already in research methods. Undergraduates will likely require supplemental materials and additional case studies to grasp some of the concepts covered. The illustrations do help guide understanding of concepts presented.

The terminology and research methods frameworks presented in the text are consistent. The use of bolded terms and illustrations throughout the text provide additional consistency.

The division of the text into the following sections: theoretical foundations, concepts in research design, data collection and data analysis, make it easy for instructors to structure a course and assign readings based on these main foundational areas. This format also enables instructors to easily supplement with other materials.

Overall, this is a well-organized text. Bolded words/phrases throughout the text provide some structure to guide reading. The text is divided into 16 chapters, which corresponds seamlessly with a 16-week semester. This enables instructors to cover one chapter per week, if they so desire, or optionally spend more time on chapters relevant to their course and exclude others. As mentioned earlier, the logical division of the text chapters into the areas of theory, research design, data collection and data analysis, lends to a soundly-structured course and facilitates the assignment of readings and other coursework.

I did not experience any issues with the text's interface, navigation or displays of images/illustrations. The text is in PDF format.

I did not notice any grammatical errors that impeded reading of the text.

I did not come across any culturally-insensitive or offensive passages in the text.

Reviewed by Peter Harris, Assistant Professor, Colorado State University on 12/5/16

This is a comprehensive overview of research design and research methods in the social sciences. The book's introductory sections offer a discussion of the philosophy of science, the history of science, and definitions of some key terms and concepts, which will help students to contextualize their own endeavors - and their own discipline(s) - inside a larger framework. It also tackles the more familiar topics of research design - conceptualization, measurement, sampling, and so forth - and several specific approaches to data-collection. Overall, then, the book is to be commended for tackling both the philosophical issues at stake in research design as well as the 'nuts and bolts' (or 'brass tacks') of actually doing research.

One of the book's touted selling-points is its focus on phases of research that precede data collection. That is, the book aims to train students not only in research methods, but also in the critical tasks of theorizing problems, generating research questions, and designing scientific inquiries - what the author refers to as 'thinking like a researcher.' This is certainly a welcome addition to a textbook on research design, and ought to help students to overcome some familiar stumbling blocks that seem to present themselves during graduate programs.

Because of its breadth, however, parts of the book can sometimes seem thin and underdeveloped. In particular, the chapters on data collection (specific research methods) are less detailed and comprehensive than other books manage to provide. It is hard to give a detailed 'how to' guide to either survey research, experiments, case studies, or interpretive methods in just 10 pages. As a result, instructors will almost certainly want to supplement this book with more detailed material, perhaps tailored to their specific discipline.

Even so, this book is an excellent backbone for an undergraduate or graduate class on research methods. It will have to be read in conjunction with discipline-specific guides to conducting research (and, most likely, alongside examples of good and bad research), but this does nothing to detract from the book's own value: it will certainly offer a valuable overview of key concepts, ideas, and problems in research design and data-collection, and will serve students throughout the duration of their studies and not just for one class.

This book is accurate, error-free, and as unbiased as it is possible to be in the social sciences. Of course, it is possible to imagine those who simply hold different views about what social science "is" or should be; some scholars might bristle at the notion that only knowledge produced according to the narrow strictures of the scientific method can be considered "scientific knowledge," for example, while others might balk at interpretivism being given parity of esteem with what they see as more rigorous methodological practices. But for the broad mainstream of the social sciences, there will be little in this book that stands out as unusual, controversial, or one-sided.

On the whole, the content of this book will remain relevant for a long time. After all, the basics of the scientific method and the fundamentals of research design seem unlikely to change in the foreseeable future. New and cutting-edge strategies of data collection and theory-testing do emerge, of course, but these are probably best delivered to students in the form of discipline-specific books or articles that could be assigned to complement this textbook, which deals more with foundations than it does with current debates.

The book is organized well and information is presented in a clear way. The prose is accessible and each chapter proceeds methodically.

This text is certainly consistent, and proceeds according to a methodical and logical structure. Key terms and concepts are introduced early on, and there are no 'surprises' in later chapters.

This book is organized into chapters, each of which could be used as the keystone reading for a given class session, and each chapter is broken down in easy-to-digest sections, making the book as accessible as possible. The fact that there are 16 chapters mean that the book could support 16 separate class sessions - that is, just enough to orient classroom discussion for an entire semester. That said, each module does not comprise sufficient material for a whole week; the chapters will need to be supplemented with extra reading material, especially in graduate seminars. It is unlikely that instructors will want to assign only part of a given chapter. Overall, the text reads well as a whole and in terms of its individual chapters.

The chapters for this book are organized into five sections: the introductory section, a section dealing with the basics of empirical research, sections on data collection and data analysis, and a final section that deals with ethics in research. This is a sensible and logical structure for the book, and nothing seems out of place. Again, the book is an accessible and smooth read; it will pose no challenges to an informed reader, and there will be nothing in the organization of the book that will be distracting or irritating.

As a single PDF, this book is easy to navigate.

I noticed no spelling or grammatical errors in this well-written book.

I can detect no culturally insensitive or offensive remarks in this book.

It is worth mentioning that this text ought to serve students well throughout their undergraduate studies, graduate careers, and beyond. It is a timeless - if necessarily limited - resource, and be returned to again and again.

Reviewed by Tamara Falicov, Associate Professor, University of Kansas on 8/21/16

The book is divided into sixteen chapters, which seemed a bit intimidating at first. I later realized that they are not necessarily very long chapters; it varies in terms of the topic. This makes the book quite comprehensive in that the book could be used for the length of the semester, one chapter per week. This is a useful model and one can add or subtract if needed. For example, the beginning chapter which discusses what science is and uses vocabulary from the hard or natural sciences may not necessarily be relevant in a social science course, but the author is being comprehensive by explaining the origins of science and the creation of the scientific method.The vocabulary in bold is extremely effective throughout the book.

The book is meticulously researched and I did not note any egregious statements or inaccuracies. There was one strange sentence when the author was trying to contrast a liberal to a conservative’s viewpoint on page 18 that made this reader feel a bit uncomfortable in how one ideological viewpoint was portrayed, but I’m not sure it was necessarily bias; perhaps just the writing was a bit heavy handed

The book makes sure of updated case examples, discusses how students utilize the internet for research, etc. The theories outlined here are the classic important debates, and the breadth of knowledge the author imparts is extremely comprehensive and up to date. this book could definitely stand on its own for many years before changes in the field might necessitate updating.

I found the textbook to be a refreshing read. The writing is very accessible and clear, but can be dense at times (though not in a problematic way—it means that with some of the more challenging material, the students will have to dig a little deeper to glean the information. The writing was very crisp, and to the point.

The book is written in a careful, consistent manner. As mentioned earlier, the vocabulary words in bold are consistent signposts, and there are citations (not too many, not too few) that help structure the book and provide a cogent framework. Sometimes there are summaries and bullet points, and other times there aren’t, so this is not exactly consistent, but it doesn’t detract from the overall work.

The chapters are excellent stand alone essays that could be used interchangeably. Some of them, such as the first chapter, is historical and philosophical, but not essential to understanding social science research methods. The second and third chapters are excellent for the researcher who is just starting out to formulate a research question. It helps them to think about the various theories and approaches available to them in terms of the angle, focus and methodology selected. The later chapters explain in greater detail various kinds of methods such as how to measure constructs, and scale reliability. These are higher order concepts which would be useful to graduate students—chapters 1-3 could not only work for graduate students, but also for upper division undergraduates.

The book was structured in a logical progression. There were no problems there. There was some repetition with various terms such as Occum’s razor, but this is because there is some overlap with concepts which I think is fine, given that some chapters may not be used in the course of a semester.

No problems with typeface, the diagrams and graphs are incredibly useful in breaking down more complex research methods.

There were no problems with syntax, grammar, spelling that I came across, except for a minor typo in chapter 9 in the table of contents.

I felt that the author was careful in his selection of case students to try to be inclusive and culturally sensitive. There was that one sentence that raised eyebrows about liberals versus democrats that I mentioned previously, but it wasn’t a major deal.

I found this book to be extremely useful and of high quality. I will to recommend it to a colleague who is teaching research methods next semester in a different department.

Reviewed by Yen-Chu Weng, Lecturer, University of Washington on 8/21/16

Dr. Bhattacherjee’s book, Social Science Research, is a good introductory textbook for upper-level undergraduate students and graduate students to learn about the research process. Whereas most research methods textbooks either focus on “research design” or on “data analysis”, this book covers the whole research process – from theories and conceptual frameworks to research design, data collection, and analysis. This book is structured as four modules and is very adaptable to instructors who want to teach any portions of the book.

Social science is a quite diverse field, including studies of socio-economic data, human behaviors, values, perceptions, and many others. Not only are the topics wide-ranging, but the research methods and the underlying philosophy of science also vary. Therefore, it is extremely difficult to write a textbook that includes everything. Dr. Bhattacherjee’s book is a nice overview of all these different methods commonly used in the social sciences. It aims for breadth, but not depth. Once could use this book as an entry to the field, but would need to seek additional resources for specific methods or analytical skills.

Based on my review of the book, the content is accurate, error-free and unbiased. However, better consistency with terminology often used in other related fields (such as statistics) would lessen students’ confusion with concepts.

Research methods are not time-sensitive topics and are not expected to change much in the near future. The inclusion of some cases or examples showcasing how social science research methods can be applied to current events or topics would help illustrate the relevance of this book (and social science research).

The book is very clear and accessible. It’s written in a way that is easy to understand. Important terminologies are bolded and these are good signposts for key concepts. A glossary summarizing definitions for the key terminologies would help students understand these key concepts. The book includes some helpful figures illustrating concepts in research design and statistics.

Overall, the book is very consistent.

The author, Dr. Bhattacherjee, structured the book following the research process – from theories, to research design, data collection, and analysis. Each module can be a standalone unit and is very adaptable to instructors who want to teach with either the whole book or individual modules. Although each module is mostly self-contained, it is impossible not to refer to other chapters since research is an iterative process. However, I do not expect this to be a huge problem for someone who wants to teach only a section of the book.

The fact that this book is structured as modules also makes it expandable. For those who want to teach only the philosophy of science or only the research design portion, they can add more details and in-depth discussion to these topics.

The book is well-organized and flows well with the research process. The chapters are clearly titled as well as the subheadings. Some numbering with the subheadings would help with navigation. In addition, a chapter summary/conclusion would also help with summarizing the main concepts of a chapter (some chapters do have a summary, but not all chapters).

The flow of the first module (Introduction to Research) is sometimes confusing – the book jumps between big ideas (scientific reasoning, conceptual framework) and specific details (variables, units of analysis) several times in the first four chapters. I thought that reorganizing the chapters as Ch1, Ch4, Ch3, Ch2 would flow better (from big ideas to specific details).

Since the book is organized by the research process, not by the type of research (qualitative vs. quantitative), Module 3 (Data Collection) and Module 4 (Data Analysis) cover both types of research. As a result, the flow/connection between each chapter are less clear. By reorganizing these two modules into “qualitative research methods and data analysis” and “quantitative research methods and data analysis”, not only would improve the flow of the book, but also better serve researchers who are interested in a particular type of research.

There are no major problems with the book’s interface. Each chapter is clearly titled. I would like to see the subheadings being numbered as well. If the PDF could have the Table of Contents on the sidebar, it would improve the navigation even more.

There are no grammatical errors noticed.

There are no culturally insensitive or offensive materials noticed. The few examples used in the book are very general and not controversial.

This book is a nice walk-through guide for researchers new to the field of social science research. One thing I would recommend adding is examples and cases. With more examples and cases, students would be able to put research methods into context and practice how they can apply the methods to their own research projects.

Reviewed by Dana Whippo, Assistant Professor of Political Science and Economics, Dickinson State University on 1/7/16

For its purpose, as introduced by the author, this is appropriately comprehensive. However, it is much more brief, more concise, than traditional research methods texts for undergraduates – which the text does not claim to be. It lays a sufficient foundation, with room and expectation for the professor to supplement with additional materials. Supplementing would be important if using this in an undergraduate classroom. I appreciate that the author emphasizes the process of research, and takes the time to address, in the first four chapters, the logic and process of research in a way that allows the text to be used in multiple disciplines. Indeed, this is one of the strengths of the book: that it can be used broadly within the social sciences. The text does not provide either an index or a glossary. This is more challenging when planning for its use in an undergraduate research methods class; however, I think that the strengths of this book outweigh the weaknesses.

I have not noticed any errors or bias. The only issue I’ve noticed, as indicated in other parts of the review, is depth. Doctoral students would bring in a sufficient foundation for reading this on their own; undergraduates will need scaffolding and additional resources to competently understand the complexity inherent in research.

The content does not read in a way that seems (either now or in the future) likely to read as dated or obsolete. The discussion of survey methodology and analysis programs will change with technology, but that should be easy to update. One of the book’s strengths is its focus on the foundation of research methods: the relationship between theory and observation, the understanding of science, and the logic that underlies the process of research.

The book is well-written and concise. Bearing in mind the author’s stated target audience of graduate and doctoral students, it is entirely reasonable that this would require additional work and instructor support (extra time and explanations for definitions and examples, for instance) when used in an undergraduate classroom.

The terminology is consistent throughout.

Faculty would be able to easily divide the text into smaller sections, which would be useful as those smaller reading sections could be combined with targeted supplementary materials.

The topics generally flow well as presented; the only exception is having the section on research ethics at the end. However, this chapter would be easy to assign earlier in the semester.

I did not have any problems with respect to interface issues.

I did not notice any grammatical errors that interfered with the reading process.

I did not notice any offensive comments or examples. The book is brief by design; it does not include the numerous examples that populate the traditional undergraduate research methods text. I did not find it offensive or insensitive.

Reviewed by Andrew Knight, Assistant Professor of Music Therapy, Colorado State University on 1/7/16

I have not seen a more comprehensive text for this topic area, and yet it retains a concision that I would have appreciated as a PhD student when I took courses in research methods. I think that the text may lend itself to several different types of courses. The early chapters can by used for more theoretical research courses, especially for new researchers and fundamentals of research courses. The later chapters can be used for "nuts and bolts" courses for addressing specific methodological issues. The appendices are an especially nice touch and added value for faculty to understand how the author uses this text and creates a syllabus to complement it.

There are very few typographical errors, and overall, the text is rigorously unbiased in its scientific method claims and explanations.

The overwhelming majority of the content in this text is classical understandings of research and methodologies that are essential to all graduate students, particularly in business and the social sciences. There is no indication that any of the content will suffer from claims that it is obsolete or irrelevant.

The clarity of the text is sound partly due to the concision of the book. Shorter chapters, easily navigable paragraphs, and other compositional devices make the text accessible to most levels of graduate students. The bolded words invite the reader to create a self-guided glossary, not any different than a textbook in an 8th grade student collection, which is helpful to counter the sometimes sophisticated nature of research theory.

No consistency issues noted.

The chapters have a nice flow to them, and can be "chunked" out for use in more beginner or more advanced courses. One preference of this reviewer would be to assign the ethics in research chapter earlier in the course calendar, and thus earlier in the textbook, so it is part of the foundational aspects of understanding social science inquiry. Meanwhile, the qualitative and two separate quantitative chapters play well together for students who will want to review them before exams or after the course is finished while they pursue a thesis/dissertation.

Again, I think the ethics chapter should be earlier, but that is simply a personal choice and can be altered by my syllabus. One issue that I wonder if graduate students might prefer is if they are not already 13 chapters into a text/course and only then are they getting to a basic concept such as measures of central tendency. Offering some of the nuts and bolts of research methods earlier in the text and tying them into the more theoretical concepts might help with clarity of flow for the typical graduate student.

No issues, nice charts and graphics throughout.

Very few noted.

This text is not insensitive in any way. As a matter of fact, pointing out historical issues in research ethics using some sensitive vignettes actually heightens the importance of research in everyday life.

I'm looking forward to adopting it for courses and using it for my own reflections on research!

Reviewed by Allison White, Assistant Professor, Colorado State University on 1/7/16

This text covers a wide array of topics relevant to social science research, including some that are not traditionally included but are welcome additions, such as a chapter dedicated to research ethics. A sample syllabus for a graduate course on research design is also offered at the end of the book, facilitating course development. The book is comprehensive in its treatment of the central components of research design and the different methodological strategies that researchers can leverage to investigate various research questions. Notably absent, however, is an index, glossary of terms, or questions for discussion, which are frequently included in textbooks devoted to research design.

The content is accurate and unbiased, which may be particularly important for texts on research design, as many fields within social science are intractably polarized between quantitative and qualitative approaches. The book goes a long way toward bridging that gap by treating the multitude of methodological orientations fairly and without obvious preference for one or another.

This book will stand the test of time due to its comprehensiveness and fair and balanced approach to research design. Both cutting-edge and classic approaches to research are discussed and the book may be easily updated as warranted by important developments in the social sciences.

The text is written clearly and accessibly, providing adequate context for most of the jargon and technical terminology that is covered. For this reason, it seems suitable for a variety of graduate-level courses, including research design survey courses and more advanced courses focusing on specific approaches.

The text is internally consistent in terms of terminology and framework.

The book neatly compartmentalizes the topics, making it easily divisible into smaller reading sections that can be assigned at different points within the course. The individual chapters stand on their own and do not require contextualization. Numerous sub-headings throughout each chapter flag the central themes.

The topics in the text are presented in a logical, clear fashion. The topics build productively throughout the textbook, beginning with the basic concepts of research design and culminating with different strategies to approach research.

The book's interface is seamless. Charts and images appear appropriately sized and undistorted and the text is free from navigation problems.

The text does not contain conspicuous grammatical errors.

The text and examples provided in it are not culturally insensitive or offensive in any way. Examples are drawn from universal theories rather than research that is culturally-specific.

Reviewed by Jim Hutchinson, Lecturer, University of Minnesota on 6/10/15

This text covers all the basic concepts expected in a book on social science research. However, it does so at a fairly superficial level. The author says this was intentional in order to provide coverage of essential topics and not distract students. As such, the book seems to do a good job introducing all the essential concepts for graduate research, but supplemental materials are likely needed depending on instructor or student needs.

The book seems to free of errors and bias.

Social science research isn't likely to change greatly so this text should remain relevant for some time and can easily be updated to accommodate new techniques as they arise.

The book is generally well-written and accessible. The writing is clear and there are sufficient examples to help students grasp concepts.

The text appears consistent with others in the field.

The text may be best used as an overview of the research process in social sciences rather than a reference. However, various chapters could also be used alone or as supplement to other materials and excluding chapters not relevant to a particular course should not cause any issues. The author even mentions excluding certain chapters that are actually full courses where he teaches.

The organization and sequence seems very logical.

I accessed the PDF version and did not experience any issues with text or graphics.

I think a good proofread would help. There are a number of places where extraneous words were left in (perhaps when rewriting and changing the structure of a sentence) or where words are not quite right. For example:

"...a researcher looking at the world through a “rational lens” will look for rational explanations of the problem such as inadequate technology or poor fit between technology and the task context where it is being utilized, while another research[er] looking at the same problem through a “social lens” may seek out social deficiencies..."

Such errors are not really problematic but they are a bit distracting at times.

I did not find the book to be insensitive or offensive. Examples used are fairly benign. For example, when discussing the tendency of lay people to view a scientific theory as mere speculation the author uses an example of teacher practice instead of a more charged example such as evolution.

Overall, this is a good book to introduce graduate (and even undergraduate) students to social science research. It is not comprehensive enough to be the only text students encounter, but it would be sufficient for say master's level programs that focus more on capstone or practical "informed by research" projects. Students planning to conduct original research, analyze data and interpret results will likely find this insufficient.

Reviewed by Paul Goren, Professor, University of Minnesota on 7/15/14

This text introduces social science doctoral students to the research process. It can be used in sociology, political science, education public health, and related disciplines. The book does an excellent job covering topics that are too often neglected in research methods classes. Standard texts devote most of their attention to different modes of data collection (e.g, lab experiments, field experiments, quasi-experiments, survey research, aggregate data collection, interpretive and case study methods, etc.). This book covers these materials but also devotes a lot of time to steps in the research process that precede data collection. These steps include formulating a research question, concept definition, theory elaboration, measurement (including reliability and validity) and sampling. There is also cursory coverage of descriptive statistics and inferential statistics (a chapter on each) as well as chapter on research ethics. In terms of coverage, then, the text can be described as comprehensive in terms of topics. In terms of depth of coverage of the topics, the text takes a minimalist approach. That is, the fundamentals of each topic are covered, but there is little discussion beyond the basics. Teachers looking for the perfect text that nails all the key points should look elsewhere or make heavy use of supplements. For instance, in the discussion on concepts, constructs, and variables, the text does not distinguish between latent variables, which are unobservable, and manifest variables, which are observable, as is common in the structural equation modeling tradition used in sociology and psychology. This is a minor omission and there are others one might quibble with. The bottom line is that most key topics in the research process are covered, but the coverage is not terribly deep.

From what I can tell, the book is accurate in terms of what it covers. There are some things that should probably be included in subsequent revisions.

The social science research process is unlikely to change in any signfiicant way for some time; therefore, I suspect the book will be relevant for years to come. The key will be ensuring that the latest research trends/improvements/refinements are added to the book. For instance, internet sampling techniques have come a long way over the past decade and there are now pollng firms that can admister online surveys to representative samples of the broader U.S. population. So long as the author keeps on these develops, this will serve as a useful introductory text for the foreseable future.

This text is extremely and unusually well-written and clear. This is one of the text's greatest selling points. No complaints on this score.

The book is very consistent from what I can see.

This book can work in a number of ways. A teacher can sample the germane chapters and incorporate them without difficulty in any research methods class.

The organization is fine. The book presents all the topics in an appropriate sequence.

The interface is fine. I didn't experience any problems.

I didn't see any errors, it looks fine.

The book is not culturally offensive.

Teachers looking for a text that they can use to introduce students to the research process and cover the foundational components of the research process should find this manuscript sufficient for their needs. Simple additions on slides or class room commentary can easily take care of the various omissions that pepper the text. Indeed, one could use this text in conjunction with discipline specific supplements quite effectively. For instance, in chapter 3 on the research process, the author devotes 5 paragraphs to common mistakes in the research process, such as pursuing trivial research questions or blind data mining. I can see how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to their students particular needs. More generally, I suspect that the text could be used in conjunction with germane discipline specific materials quite effectively in research methodology classes. The book is not perfect. I wish there was more discussion on field experiments in the experiment chapter. Other than a brief mention that these are relatively rare, there was nothing. These are indeed relatively rare but that seems to be changing in some fields (e.g. economic, political science), and I think more discussion of this technique is warranted. The chapter on case study methods would benefit from discussion on the historical and comparative methods that are used in various social science disciplines, as well as some discussion on case selection methods. The statistical coverage is very thin and should not serve as the primary source material in any class that covers statistics. For instance, the discussion on the empirical assessment of reliability (for items or scales) does not discuss in depth the assumptions that underlie the various methods nor the modifications that need to be made across different levels of measurement. To take another example, the author presents the formulae for the variance and standard deviation on p. 122 with the customary n-1 in the denominator. Students often ask me why we divide the mean squared deviation by n-1 instead of n, which is what we do for the mean. Professors will need to make sure that their slides include discussion of the degrees of freedom idea and perhaps some discussion on unbiasedness as well. In the inferential statistics chapter there's no discussion on desirable properties of estimators (unbiasedness and efficiency). This is an unfortunate oversight. These could be added very easily using simple graphs. One thing that's lacking is a chapter on statistical graphics. The book makes great use of graphics and other visual aids throughout the chapters, but I wish there as a standalone chapter that introduces simple plots for univariate and bivariate data. This can be supplemented easily enough, but the omission seems odd. Again, this book can serve as an compact introduction in a graduate research methodology class for students across the social sciences, but it would work best in conjunction with deeper and more discipline specific materials prepared by the professor.

Reviewed by Anika Leithner, Associate Professor, California Polytechnic State University on 7/15/14

This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. What I liked in particular is that the author includes information on the ENTIRE research process, including critical thinking and research ethics, in addition to the "nuts and bolts" of research such as operationalization, data collection, and data analysis. I also find it useful that the author includes sections on both qualitative and quantitative research, which is great for an introductory level course. In general, readers can expect to find information on theory- and hypothesis building, operationalization/measurements, sampling, research design, various data collection strategies (e.g. surveys, experiments, etc.), as well as data analysis. The primary reason I did not give this text 5 stars is that the author does not provide a great amount of detail for a lot of the book's sections. He explains in the preface that he purposefully chose to reduce the text to the basics in order to keep the text compact and clutter-free. In general, I tend to agree with this approach, as so many methodology textbooks seem to get lost in examples and case studies without clearly illustrating the research process as a whole. However, as I was reading through this book, I kept thinking that I would need to supplement multiple areas of this book with more information in order to make it truly accessible to my students. To be fair, I think that A) anyone who has taught methods before would be able to use the "bones" of this book to prepare students sufficiently well for class and then easily fill in the blanks, and B) it appears that this text was written primarily with graduate students in mind, whereas I most teach undergraduates. In all, I still think that this is a great free alternative to many textbooks out there, but if your teaching style depends on your text including a lot of explanation and examples (or even applications), then this is likely not the text for you. Finally, this book does NOT include an index or a glossary. Personally, I did not find this to be a problem, as the outline/table of contents is very useful, but perhaps students using the text could benefit from an index that would allow them to quickly look up what they need to know.

I did not detect any errors or any purposeful bias in this textbook! Some readers might find that the author's choice of terminology does not necessarily match what I would consider standard practices in the broader social sciences (e.g. the use of the term "mediating variables" instead of "intervening variables"), but it is always clear what the book is referring to and it shouldn't be too difficult to bridge this "terminology gap." Occasionally, I was a bit puzzled by a definition or an explanation. For instance, the author states that "control variables" are not pertinent to explaining the dependent variable, but need to be taken into consideration because they may have "some impact" on it. I'm assuming the author means that they are not pertinent to the hypothesis being tested (as opposed to them not being pertinent to the explanation of the dependent variable). This type of ambiguity does not occur very often in the textbook and it does not necessarily represent an error. It merely seems to be an issue of miscommunication. Overall, I very much liked this text for its accuracy.

Luckily, research methods do not change drastically in a short period of time, so I expect the longevity of this book to be very high. In my experience, the biggest factor that can make a research text outdated is the use of up-to-date examples and case studies. This text includes very few of either, so I think this text could be used for many years to come.

The book is very clear and accessible, probably largely due to its minimalist approach. Aside from the above-mentioned deviations from broader social sciences terminology on a few occasions, I did not encounter any problems with the jargon/technical terminology used. The only minor problem I noted (which made me I've a ranking of 4 as opposed to 5) was a certain amount of repetitiveness in the earlier chapters, specifically with regard to positivism/post-positivism and the discussion of theory/hypothesis creation and testing.

The book is very consistent. It has a clear outline that matches the natural research process and the author very consistently adhere to this outline. Chapters naturally flow from one another and are logical.

This book is very well organized and easily accessible due to its division into logical chapters and sub-sections. In addition, the author highlights important concepts in bold, making it even easier to follow along. I would have no problem assigning smaller reading sections throughout the quarter/semester.

As mentioned above, the text is very well organized and flows naturally/logically. It follows the research process from critical thinking, conceptualization, to operationalization/measurements, research design, data collection, and data analysis. Research ethics are discussed in an appendix/addendum.

There are no major problems with the book's interface. Occasionally, graphs and tables are not as crisp and visually appealing as they might be in an expensive textbook, but personally, the ability to assign an open source text to my students far outweighs any concerns I might have about the visual attractiveness of a book. This text is easy to read and quite user-friendly.

I detected no grammatical errors.

The text includes very few examples and it is hard to imagine how research methods in general could be offensive to anyone (unless it is the practice of science itself that offends them), but for completeness' sake, allow me to state that I found no instances of insensitivity or offense in this textbook.

This text covers all the basics of the research process. It does not contain a lot of the "bells and whistles" that the expensive traditional textbooks have (e.g. lots of examples, fancy graphs, text boxes with case studies and applications, etc.), but it certainly gets the job done. Personally, I appreciate the compact nature of this text and I would much rather fill in a few gaps on my end, if it means that I can assign my students an open textbook.

Reviewed by Brendan Watson, Assistant Professor, University of Minnesota on 7/15/14

See overall comments. read more

See overall comments.

Dr. Bhattacherjee's "Social Science Research: Principles, Methods, and Practices," is a comprehensive, but a bare-boned (and generic) introduction to social science research. In this case "generic" is actually a positive attribute: because the text covers social science research broadly, rather than sociology, psychology, etc. specifically, this text can easily be adapted to the needs of basic research methods courses in allied disciplines. (I teach an introductory quantitative research course for master's and Ph.D. students in a School of Journalism & Mass Communication). I describe the text as comprehensive, because if my students got a basic grasp of all of the concepts in the book, they'd be well positioned to continue on to more advanced research courses (though the text is less valuable as a reference than more comprehensive introductory texts). But while Dr. Bhattacherjee's introduction says that the book is bare-boned by design -- "I decided to focus only on essential concepts, and not fill pages with clutter that can divert the students' attention to less relevant or tangential issues" -- some topics deserve more attention. For example, Institutional Review Boards (IRB) receive only two short paragraphs, and there is no mention of the history of why such boards were deemed necessary and play an important role in the research process. I'd consider such knowledge essential for students, and this is the type of information I would like a text to focus on so that I can spend class time reviewing more complicated concepts students might have trouble grasping on their own. (Generally I found the writing to be approachable, and concepts to be well explained, though extensive examples are also part of the "clutter" omitted from this book). Another topic I would have liked to see developed further - and perhaps is especially important to the more digitally-savvy crowd interested in the open textbook movement - is the expanding role of the Internet and digital technologies in the research process itself, particularly in the era of "big data." The text, for example, mentions Internet surveys, but there is no conversation about tools one can use to build an Internet survey; how Internet surveys differ from traditional modes of surveying; or the practice of weighting Internet survey results to make them "representative" of the larger population. That said, I am balancing using this text versus a more comprehensive, but much more expensive, commercially produced text. Another thing that this book is missing are instructional resources that commercial publishers provide, but ultimately by using this text I can contribute to creating greater value for my students. However, it would have to be supplemented heavily with other materials, as well as lectures, which is not without a trade-off cost. It's certainly doable, but ultimately means a greater investment of my time, and I have to weigh investing my time in creating hands-on learning opportunities and providing students with thorough feedback on their work with the time I'd have to invest in using a text that is complete, but needs to be much more heavily supplemented with additional materials. Ideally, several faculty with similar teaching needs would team up to combine and adapt several open texts to their courses' needs. Adapting and supplementing this text for my purposes by myself, however, remains a steep, if not insurmountable task for a tenure-track professor. This text, however, is thorough enough to maintain my interested in trying to find a way to make it work.

About the book.

Part I. Main Body

Science and scientific research
Thinking like a researcher
The research process
Theories in scientific research
Research design
Measurement of constructs
Scale reliability and validity
Survey research
Experimental research
Case research
Interpretive research
Qualitative analysis
Quantitative analysis: Descriptive statistics
Quantitative analysis: Inferential statistics
Research ethics

Ancillary Material

This book is designed to introduce doctoral and postgraduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioural research, and can serve as a standalone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently being used as a research text at universities in 216 countries, across six continents and has been translated into seven different languages. To receive updates on this book, including the translated versions, please follow the author on Facebook or Twitter @Anol_B.

About the Contributors

Anol Bhattacherjee is a professor of information systems and Citigroup/Hidden River Fellow at the University of South Florida, USA. He is one of the top ten information systems researchers in the world, ranked eighth based on research published in the top two journals in the discipline, MIS Quarterly and Information Systems Research , over the last decade (2001-2010). In a research career spanning 15 years, Dr. Bhattacherjee has published over 50 refereed journal papers and two books that have received over 4,000 citations on Google Scholar. He also served on the editorial board of MIS Quarterly for four years and is frequently invited to present his research or build new research programs at universities all over the world. More information about Dr. Bhattacherjee can be obtained from his webpage at http://ab2020.weebly.com .

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Writing the Empirical Social Science Research Paper: A Guide for the Perplexed

Abstract Students sometimes find the general process of writing an empirical research paper to be daunting. Yet, when the process is approached in a systematic way, students can become more comfortable with the writing and standard formatting used in an empirical article. Accordingly, the current paper serves as a template for the budding social scientist.

Related Papers

Students sometimes find the general process of writing an empirical research paper to be daunting. Yet, when the process is approached in a systematic way, students can become more comfortable with the writing and standard formatting used in an empirical article. Accordingly, the current paper serves as a template for the budding social scientist. In it, I describe the various sections of a research paper in order to illustrate the structure of an introduction, methods section, results section, and discussion section in a format fitting for the 6th edition of the American Psychological Association. As in most empirical research papers, the first section is an abstract, a short outline of the paper that clarifies both what the paper will be examining, what is found, and in most cases a one line explanation of why the findings are important to the field. Accordingly, this paper should help to clarify the process of producing an empirical article.

hadson sitembo

Weather you are doing a bachelor's or a higher level studies , it is important to do academic writing. This paper gives a summary of the different types of academic writing process and aspect related to academic writing. The paper is a review of works done on the subject matter.

Social Science Writing

Ricardo Stanton-Salazar

I’ve put together three documents composed of my own study notes on the process of writing in the social sciences. Notes include items taken from the internet and written by various scholars who address the “how tos” of writing social science papers, dissertations, and journal articles. Other notes are taken from various personal documents I’ve developed over my three decades of teaching sociology and education studies. I hope you find them helpful. RDSS

, I’ve put together three documents composed of my own study notes on the process of writing in the social sciences. Notes include items taken from the internet and written by various scholars who address the “how to-s” of writing social science papers, dissertations, and journal articles. Other notes are taken from various personal documents I’ve developed over my three decades of teaching sociology and education studies. I hope you find them helpful. RDSS

Professor Jason Miin-Hwa Lim

Novice writers and university students often encounter problems with regard to (i) the extent to which they should include research questions and hypotheses in their research reports, and (ii) how they can effectively present these information elements to enhance clarity. To resolve these problems, we used a genre-based analytical framework and inputs provided by specialist informants to ascertain the prevalence of these information elements and the range of linguistic resources employed by writers in the research article introductions (RAIs) in two social sciences, namely Ethnic Studies (ES) and Industrial Relations (IR). We have found that most RAIs in IR incorporate research questions and hypotheses, while less than half of those in ES include them. The difference is attributable to writers' greater tendency to employ epistemological methodologies in IR, and ontological methodologies in ES. Polar questions are rarely used in both disciplines, while factual, evaluative and circumstantial wh-questions are far more prevalent. Active anticipatory verbs and that-clauses are used to postulate hypotheses in both disciplines, whereas first-person pronouns are far more common in ES than in IR. Our findings can be flexibly adapted to design instructional materials aimed at guiding novice writers in the formulation of research questions and hypotheses.

Peter Smagorinsky

Guide to Publishing in Psychology Journals

Esdras Rangel

Ibadan University Press eBooks

Emeka Emmanuel OKAFOR

Research Paper – Structure, Examples and Writing Guide

Table of Contents

Research Paper

Definition:

Research Paper is a written document that presents the author’s original research, analysis, and interpretation of a specific topic or issue.

It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new knowledge or insights to a particular field of study, and to demonstrate the author’s understanding of the existing literature and theories related to the topic.

Structure of Research Paper

The structure of a research paper typically follows a standard format, consisting of several sections that convey specific information about the research study. The following is a detailed explanation of the structure of a research paper:

The title page contains the title of the paper, the name(s) of the author(s), and the affiliation(s) of the author(s). It also includes the date of submission and possibly, the name of the journal or conference where the paper is to be published.

The abstract is a brief summary of the research paper, typically ranging from 100 to 250 words. It should include the research question, the methods used, the key findings, and the implications of the results. The abstract should be written in a concise and clear manner to allow readers to quickly grasp the essence of the research.

Introduction

The introduction section of a research paper provides background information about the research problem, the research question, and the research objectives. It also outlines the significance of the research, the research gap that it aims to fill, and the approach taken to address the research question. Finally, the introduction section ends with a clear statement of the research hypothesis or research question.

Literature Review

The literature review section of a research paper provides an overview of the existing literature on the topic of study. It includes a critical analysis and synthesis of the literature, highlighting the key concepts, themes, and debates. The literature review should also demonstrate the research gap and how the current study seeks to address it.

The methods section of a research paper describes the research design, the sample selection, the data collection and analysis procedures, and the statistical methods used to analyze the data. This section should provide sufficient detail for other researchers to replicate the study.

The results section presents the findings of the research, using tables, graphs, and figures to illustrate the data. The findings should be presented in a clear and concise manner, with reference to the research question and hypothesis.

The discussion section of a research paper interprets the findings and discusses their implications for the research question, the literature review, and the field of study. It should also address the limitations of the study and suggest future research directions.

The conclusion section summarizes the main findings of the study, restates the research question and hypothesis, and provides a final reflection on the significance of the research.

The references section provides a list of all the sources cited in the paper, following a specific citation style such as APA, MLA or Chicago.

How to Write Research Paper

You can write Research Paper by the following guide:

Choose a Topic: The first step is to select a topic that interests you and is relevant to your field of study. Brainstorm ideas and narrow down to a research question that is specific and researchable.
Conduct a Literature Review: The literature review helps you identify the gap in the existing research and provides a basis for your research question. It also helps you to develop a theoretical framework and research hypothesis.
Develop a Thesis Statement : The thesis statement is the main argument of your research paper. It should be clear, concise and specific to your research question.
Plan your Research: Develop a research plan that outlines the methods, data sources, and data analysis procedures. This will help you to collect and analyze data effectively.
Collect and Analyze Data: Collect data using various methods such as surveys, interviews, observations, or experiments. Analyze data using statistical tools or other qualitative methods.
Organize your Paper : Organize your paper into sections such as Introduction, Literature Review, Methods, Results, Discussion, and Conclusion. Ensure that each section is coherent and follows a logical flow.
Write your Paper : Start by writing the introduction, followed by the literature review, methods, results, discussion, and conclusion. Ensure that your writing is clear, concise, and follows the required formatting and citation styles.
Edit and Proofread your Paper: Review your paper for grammar and spelling errors, and ensure that it is well-structured and easy to read. Ask someone else to review your paper to get feedback and suggestions for improvement.
Cite your Sources: Ensure that you properly cite all sources used in your research paper. This is essential for giving credit to the original authors and avoiding plagiarism.

Research Paper Example

Note : The below example research paper is for illustrative purposes only and is not an actual research paper. Actual research papers may have different structures, contents, and formats depending on the field of study, research question, data collection and analysis methods, and other factors. Students should always consult with their professors or supervisors for specific guidelines and expectations for their research papers.

Research Paper Example sample for Students:

Title: The Impact of Social Media on Mental Health among Young Adults

Abstract: This study aims to investigate the impact of social media use on the mental health of young adults. A literature review was conducted to examine the existing research on the topic. A survey was then administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO (Fear of Missing Out) are significant predictors of mental health problems among young adults.

Introduction: Social media has become an integral part of modern life, particularly among young adults. While social media has many benefits, including increased communication and social connectivity, it has also been associated with negative outcomes, such as addiction, cyberbullying, and mental health problems. This study aims to investigate the impact of social media use on the mental health of young adults.

Literature Review: The literature review highlights the existing research on the impact of social media use on mental health. The review shows that social media use is associated with depression, anxiety, stress, and other mental health problems. The review also identifies the factors that contribute to the negative impact of social media, including social comparison, cyberbullying, and FOMO.

Methods : A survey was administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The survey included questions on social media use, mental health status (measured using the DASS-21), and perceived impact of social media on their mental health. Data were analyzed using descriptive statistics and regression analysis.

Results : The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO are significant predictors of mental health problems among young adults.

Discussion : The study’s findings suggest that social media use has a negative impact on the mental health of young adults. The study highlights the need for interventions that address the factors contributing to the negative impact of social media, such as social comparison, cyberbullying, and FOMO.

Conclusion : In conclusion, social media use has a significant impact on the mental health of young adults. The study’s findings underscore the need for interventions that promote healthy social media use and address the negative outcomes associated with social media use. Future research can explore the effectiveness of interventions aimed at reducing the negative impact of social media on mental health. Additionally, longitudinal studies can investigate the long-term effects of social media use on mental health.

Limitations : The study has some limitations, including the use of self-report measures and a cross-sectional design. The use of self-report measures may result in biased responses, and a cross-sectional design limits the ability to establish causality.

Implications: The study’s findings have implications for mental health professionals, educators, and policymakers. Mental health professionals can use the findings to develop interventions that address the negative impact of social media use on mental health. Educators can incorporate social media literacy into their curriculum to promote healthy social media use among young adults. Policymakers can use the findings to develop policies that protect young adults from the negative outcomes associated with social media use.

References :

Twenge, J. M., & Campbell, W. K. (2019). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive medicine reports, 15, 100918.
Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., … & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1-9.
Van der Meer, T. G., & Verhoeven, J. W. (2017). Social media and its impact on academic performance of students. Journal of Information Technology Education: Research, 16, 383-398.

Appendix : The survey used in this study is provided below.

Social Media and Mental Health Survey

How often do you use social media per day?
Less than 30 minutes
30 minutes to 1 hour
1 to 2 hours
2 to 4 hours
More than 4 hours
Which social media platforms do you use?
Others (Please specify)
How often do you experience the following on social media?
Social comparison (comparing yourself to others)
Cyberbullying
Fear of Missing Out (FOMO)
Have you ever experienced any of the following mental health problems in the past month?
Do you think social media use has a positive or negative impact on your mental health?
Very positive
Somewhat positive
Somewhat negative
Very negative
In your opinion, which factors contribute to the negative impact of social media on mental health?
Social comparison
In your opinion, what interventions could be effective in reducing the negative impact of social media on mental health?
Education on healthy social media use
Counseling for mental health problems caused by social media
Social media detox programs
Regulation of social media use

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

Advancing knowledge: Research papers contribute to the advancement of knowledge by generating new insights, theories, and findings that can inform future research and practice. They help to answer important questions, clarify existing knowledge, and identify areas that require further investigation.
Informing policy: Research papers can inform policy decisions by providing evidence-based recommendations for policymakers. They can help to identify gaps in current policies, evaluate the effectiveness of interventions, and inform the development of new policies and regulations.
Improving practice: Research papers can improve practice by providing evidence-based guidance for professionals in various fields, including medicine, education, business, and psychology. They can inform the development of best practices, guidelines, and standards of care that can improve outcomes for individuals and organizations.
Educating students : Research papers are often used as teaching tools in universities and colleges to educate students about research methods, data analysis, and academic writing. They help students to develop critical thinking skills, research skills, and communication skills that are essential for success in many careers.
Fostering collaboration: Research papers can foster collaboration among researchers, practitioners, and policymakers by providing a platform for sharing knowledge and ideas. They can facilitate interdisciplinary collaborations and partnerships that can lead to innovative solutions to complex problems.

When to Write Research Paper

Research papers are typically written when a person has completed a research project or when they have conducted a study and have obtained data or findings that they want to share with the academic or professional community. Research papers are usually written in academic settings, such as universities, but they can also be written in professional settings, such as research organizations, government agencies, or private companies.

Here are some common situations where a person might need to write a research paper:

For academic purposes: Students in universities and colleges are often required to write research papers as part of their coursework, particularly in the social sciences, natural sciences, and humanities. Writing research papers helps students to develop research skills, critical thinking skills, and academic writing skills.
For publication: Researchers often write research papers to publish their findings in academic journals or to present their work at academic conferences. Publishing research papers is an important way to disseminate research findings to the academic community and to establish oneself as an expert in a particular field.
To inform policy or practice : Researchers may write research papers to inform policy decisions or to improve practice in various fields. Research findings can be used to inform the development of policies, guidelines, and best practices that can improve outcomes for individuals and organizations.
To share new insights or ideas: Researchers may write research papers to share new insights or ideas with the academic or professional community. They may present new theories, propose new research methods, or challenge existing paradigms in their field.

Purpose of Research Paper

The purpose of a research paper is to present the results of a study or investigation in a clear, concise, and structured manner. Research papers are written to communicate new knowledge, ideas, or findings to a specific audience, such as researchers, scholars, practitioners, or policymakers. The primary purposes of a research paper are:

To contribute to the body of knowledge : Research papers aim to add new knowledge or insights to a particular field or discipline. They do this by reporting the results of empirical studies, reviewing and synthesizing existing literature, proposing new theories, or providing new perspectives on a topic.
To inform or persuade: Research papers are written to inform or persuade the reader about a particular issue, topic, or phenomenon. They present evidence and arguments to support their claims and seek to persuade the reader of the validity of their findings or recommendations.
To advance the field: Research papers seek to advance the field or discipline by identifying gaps in knowledge, proposing new research questions or approaches, or challenging existing assumptions or paradigms. They aim to contribute to ongoing debates and discussions within a field and to stimulate further research and inquiry.
To demonstrate research skills: Research papers demonstrate the author’s research skills, including their ability to design and conduct a study, collect and analyze data, and interpret and communicate findings. They also demonstrate the author’s ability to critically evaluate existing literature, synthesize information from multiple sources, and write in a clear and structured manner.

Characteristics of Research Paper

Research papers have several characteristics that distinguish them from other forms of academic or professional writing. Here are some common characteristics of research papers:

Evidence-based: Research papers are based on empirical evidence, which is collected through rigorous research methods such as experiments, surveys, observations, or interviews. They rely on objective data and facts to support their claims and conclusions.
Structured and organized: Research papers have a clear and logical structure, with sections such as introduction, literature review, methods, results, discussion, and conclusion. They are organized in a way that helps the reader to follow the argument and understand the findings.
Formal and objective: Research papers are written in a formal and objective tone, with an emphasis on clarity, precision, and accuracy. They avoid subjective language or personal opinions and instead rely on objective data and analysis to support their arguments.
Citations and references: Research papers include citations and references to acknowledge the sources of information and ideas used in the paper. They use a specific citation style, such as APA, MLA, or Chicago, to ensure consistency and accuracy.
Peer-reviewed: Research papers are often peer-reviewed, which means they are evaluated by other experts in the field before they are published. Peer-review ensures that the research is of high quality, meets ethical standards, and contributes to the advancement of knowledge in the field.
Objective and unbiased: Research papers strive to be objective and unbiased in their presentation of the findings. They avoid personal biases or preconceptions and instead rely on the data and analysis to draw conclusions.

Advantages of Research Paper

Research papers have many advantages, both for the individual researcher and for the broader academic and professional community. Here are some advantages of research papers:

Contribution to knowledge: Research papers contribute to the body of knowledge in a particular field or discipline. They add new information, insights, and perspectives to existing literature and help advance the understanding of a particular phenomenon or issue.
Opportunity for intellectual growth: Research papers provide an opportunity for intellectual growth for the researcher. They require critical thinking, problem-solving, and creativity, which can help develop the researcher’s skills and knowledge.
Career advancement: Research papers can help advance the researcher’s career by demonstrating their expertise and contributions to the field. They can also lead to new research opportunities, collaborations, and funding.
Academic recognition: Research papers can lead to academic recognition in the form of awards, grants, or invitations to speak at conferences or events. They can also contribute to the researcher’s reputation and standing in the field.
Impact on policy and practice: Research papers can have a significant impact on policy and practice. They can inform policy decisions, guide practice, and lead to changes in laws, regulations, or procedures.
Advancement of society: Research papers can contribute to the advancement of society by addressing important issues, identifying solutions to problems, and promoting social justice and equality.

Limitations of Research Paper

Research papers also have some limitations that should be considered when interpreting their findings or implications. Here are some common limitations of research papers:

Limited generalizability: Research findings may not be generalizable to other populations, settings, or contexts. Studies often use specific samples or conditions that may not reflect the broader population or real-world situations.
Potential for bias : Research papers may be biased due to factors such as sample selection, measurement errors, or researcher biases. It is important to evaluate the quality of the research design and methods used to ensure that the findings are valid and reliable.
Ethical concerns: Research papers may raise ethical concerns, such as the use of vulnerable populations or invasive procedures. Researchers must adhere to ethical guidelines and obtain informed consent from participants to ensure that the research is conducted in a responsible and respectful manner.
Limitations of methodology: Research papers may be limited by the methodology used to collect and analyze data. For example, certain research methods may not capture the complexity or nuance of a particular phenomenon, or may not be appropriate for certain research questions.
Publication bias: Research papers may be subject to publication bias, where positive or significant findings are more likely to be published than negative or non-significant findings. This can skew the overall findings of a particular area of research.
Time and resource constraints: Research papers may be limited by time and resource constraints, which can affect the quality and scope of the research. Researchers may not have access to certain data or resources, or may be unable to conduct long-term studies due to practical limitations.

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Literature Reviews in the Social Sciences: Home

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Literature Reviews in the Social Sciences

This guide is designed to help you as you get started on a literature review in the social sciences. It contains search tips, advice on where to look for sources, and information on how to organize and evaluate the sources you find.

Doing a Literature Review

What's a Literature Review?

A literature review is the systematic written analysis of previously published research on a specific topic or subject. A literature review is not merely a summary of another scholar's articles or books. Instead, it provides a contextual analysis of the data, ideas, or theoretical concepts presented in the article, book, or other publication.

Why is a literature review important?

All scholars recognize the importance of the literature review. It provides the foundation for all scholarly research papers, theses, and dissertations. You can't write intelligently about a subject if you are unfamiliar with the existing literature. Therefore, the literature review is meant to showcase what has already been discussed or discovered in your topical area.

What types of resources should be used for a literature review?

A literature review should be written using "credible" academic sources of information. This means using peer-reviewed, scholarly articles, books, and other publications in your subject area. You should avoid using popular magazines, unpublished works, blogs, or other resources deemed non-scholarly.

What other things should I consider while reading the source material?

Take careful notes of important ideas, concepts, or facts you find that are relevant to your overall topic or thesis. Most importantly, keep track of all the sources used. This will keep you from needing to relocate them later. If your paper is large in scope, use electronic bibliographic tools such as Endnote or RefWorks to keep track of all your citations while you write.

What about writing the literature review itself?

When you are prepared to begin writing your literature review, you should not simply summarize the articles and books you find. You should carefully consider the research and the author's interpretation of the subject matter. Then show how their research relates to your specific topic, from your unique point of view.

Annual Reviews / Dissertations & Theses

Many scholarly journals, dissertations, and theses also publish long and extremely detailed literature reviews.

The Annual Reviews series of publications offer articles that analyze the most significant scholarly research published within the preceding year. Written by leading scholars and academics, the articles cover over 40 different subject disciplines in the social and hard sciences.

To search directly for a literature review, go to a library database and search for:

"literature review" AND [your research topic] .

Annual Reviews This link opens in a new window Annual Reviews offers comprehensive, timely collections of critical reviews written by leading scientists. Annual Reviews volumes are published each year for 29 focused disciplines within the Biomedical, Physical, and Social Sciences.
Dissertations & Theses Global This link opens in a new window Dissertations and Theses Global contains indexes, dissertations and some theses. Full-text is available for many dissertations and theses, including those from NYU.

Books on Writing Literature Reviews

Sage Research Methods - Videos on Doing Literature Reviews

Sage Research Methods - Literature Reviews Professor Eric Jensen and Dr. Charles Laurie explain how to write a literature review, and why researchers need to do so. Literature reviews can be stand-alone research or part of a larger project. They communicate the state of academic knowledge on a given topic, specifically detailing what is still unknown.
How to Conduct an Effective Literature Review Claire White, an Associate professor from California State University Northridge, explains how to conduct an effective literature review using a literature review sketch.
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URL: https://guides.nyu.edu/litreviews

Research Paper

Category: social science research paper examples.

Social science is a category of academic disciplines concerned with society and the relationships among individuals within a society. The disciplines include, but are not limited to: anthropology, archaeology, communication studies, economics, folkloristics, history, musicology, human geography, jurisprudence, linguistics, political science, psychology, public health, and sociology. The term is also sometimes used to refer specifically to the field of sociology, the original “science of society”, established in the 19th century.

Browse social science research paper examples below.

Social Science Research Paper Example

Social Sciences Research Paper

View sample social sciences research paper. Browse other research paper examples and check the list of history research paper topics for more inspiration. If you need a history research paper written according to all the academic standards, you can always turn to our experienced writers for help. This is how your paper can get an A! Feel free to contact our custom writing service for professional assistance. We offer high-quality assignments for reasonable rates.

The discipline of social sciences typically includes anthropology, economics, political science, and sociology—although psychology and history sometimes find their way into the mix. The social sciences and history, however, especially world history, are natural partners since both study the same phenomenon: collective human life.

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Scholarship and instruction at contemporary universities are organized into disciplines that are often grouped together into a comprehensive set of discipline types. In the United States, the division is often into natural sciences, social sciences, and humanities. The social sciences typically include anthropology, economics, political science, and sociology but the boundaries are not fixed. Psychology inhabits a borderland between social and natural science, and history is sometimes grouped with the social sciences and sometimes with the humanities. For example, an article on some aspect of indentured service in eighteenth-century America could appear in an economics journal, a political science journal, a sociology journal, or a history journal. At the same time, each social science discipline includes many subdisciplines, each of which has its own journals, scholarly meetings, and often their own paradigms.

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Of all the social sciences, only history appears to go back to ancient times. But this is somewhat deceptive, because the social sciences existed in some form long before their modern names took hold, and history also went through a transformation in the nineteenth century. For example, Aristotle, Mencius, Li Si (Li Ssu), and Machiavelli were political scientists long before the term social science was coined, while the modern historical method dates only to the nineteenth century.

The Natural Sciences

The social sciences emerged as modern disciplines after the natural sciences and in imitation of them. In English, though not in other languages, the word science used alone generally refers to natural science, which tends to put the social sciences in the position of having to defend their right to be called sciences. Social science can best be understood in its dual aspect as an imitation of natural science and in contrast to natural science.

Humans have acquired knowledge about nature and about each other since before they were fully human. More systematic knowledge was developed by literate civilizations around the world in the last millennia BCE. In spite of the considerable achievements of the Arabs, Babylonians, Chinese, Egyptians, Greeks, and others, the natural sciences in their modern form did not emerge until the scientific revolution of the seventeenth century.

Two remarkable characteristics of modern natural science are its high degree of consensus about method and the rapid advance in the creation of knowledge. Scientists are largely in agreement about what is known in their field, what the problems are, how to go about solving those problems, and what constitutes a solution. This consensus is now often called a paradigm, a term coined by the historian and philosopher of science Thomas Kuhn in The Structure of Scientific Revolutions.

The social sciences do not generally operate within such agreed-upon paradigms. If a new disease appears in the world, scientists can usually figure out the cause, how it is spread, and some of the measures to take to prevent the further spread. By contrast, when war breaks out, the level of consensus among social scientists is far lower and the approaches they take to explain the war are much greater.

From Natural Sciences to Social Sciences

Newton’s success in formulating a universal law of gravitation made a great impression on thinkers in the eighteenth century, spawning numerous attempts to create an analogous science of human society. The philosopher David Hume (1711–1776) aspired to become the Newton of what he called the “moral sciences,” while the early nineteenth century utopian socialist Charles Fourier (1772–1837) believed he was the Newton of psychology. The most successful of these Newtons was Adam Smith (1723–1790), the founder of modern economics. In 1776, he published Wealth of Nations, which set out to explain the circulation of goods in human societies. For Smith, the force that moved goods was self-interest, just as gravity was the force that moved heavenly bodies.

The ever-increasing success of the natural sciences in the nineteenth century intensified the call for a science of society. Auguste Comte (1798–1857) was the most famous propagandist for a new social science. Comte argued that human thought went through several stages, culminating in a scientific stage. Different areas reached the scientific stage at different times. Now, Comte argued, it was the turn of sociology, a term he coined for the new science of society. Comte is often believed to have advocated that sociology imitate physics, but Comte did not believe that there was just one method for all the sciences. Instead, he believed that each field had to develop its own method. Physics was mathematical, but biology, Comte believed, had its own nonmathematical method, and he argued that sociology would have to develop yet another method.

Another important difference between the natural and the social sciences is that unlike physicists and biologists, social scientists may inadvertently change the humans they study. When an entomologist studies wars among ants, no matter what she learns, it will not affect how and when ants conduct war, but when a political scientist or sociologist studies human war, the results may alter human behavior and even negate the results of the study.

Professionalization and Specialization in Social Sciences

In the nineteenth century, the sciences became increasingly specialized, professionalized, and institutionalized. Men, and it was almost always men, became fulltime physicists, chemists, or biologists. Departments were set up at universities, and journals specializing in a single discipline were founded. The modern scientific disciplines were born, and as the twentieth century progressed, subdisciplines multiplied. Scientific knowledge, both theoretical and practical, increased rapidly. Science became one of the pillars of modern industrial civilization. The social sciences followed the same course as the natural sciences. By the end of the nineteenth century, various fields of social science—anthropology, economics, political science, psychology, and sociology— had achieved the institutional form we now typically encounter as departments in colleges and universities.

Anthropology

Anthropology is usually divided into physical anthropology and cultural anthropology. Physical anthropologists, who study the physical characteristics of human beings in all their variability, generally reject race as a biological category and concentrate instead on complex genetic variability. This can be very useful to historians—for example, DNA evidence can help trace human migrations for which there is inadequate documentary evidence.

For cultural anthropologists, culture includes all the ways humans learn to behave. They are best known for studying the culture of “primitive” peoples—small, nonliterate societies. Among their discoveries is the finding that the people who live in these simpler societies are quite complex in their ways of life. In the latter part of the twentieth century, as isolated small societies became scarce, anthropologists began to adapt their techniques to more modern societies, and the anthropological definition of the term culture entered into common language, as in “Latino culture” or “corporate culture.”

The findings of cultural anthropologists are of great interest to world historians, who are interested in the progression from one type of society to another. By looking at hunter-gatherers now, or in the recent past, historians can catch a glimpse of how all humankind lived before the development of agriculture. By reading studies of autonomous horticultural societies and of larger chiefdoms they can see how more complex politics developed as sovereign units became larger.

As Adam Smith said, economics is the study of how goods and services circulate. Most economists study market or capitalist economies in which exchanges of goods and services are largely voluntary, and even when economists study non-market phenomena, such as taxes and government services, they use techniques adapted from studying markets. Of the social sciences, economics is the most like a natural science. Economists use mathematics extensively and most work within an agreed-upon paradigm.

Economics is usually divided into microeconomics and macroeconomics. Microeconomics is the study of markets for individual goods and the behavior of individual economic units, including both individuals and companies. Macroeconomics is the study of whole economies, usually at the level of a country, but including international economics. Macroeconomics is more relevant for historians, who often want to include a discussion of the economy in their studies.

History and economics meet in the well-established field of economic history, a subfield of both economics and history. Economic historians study one of the most important aspects of the human past, economic changes, using techniques of both economics and history.

Development economics, which studies how some countries became more developed than others and as a result have higher standards of living, is a related subfield. The questions it asks is of vital importance to the poor of the world, but also crucial to understanding how the world developed in the last two centuries.

Unfortunately there is no consensus among economists on the necessary and sufficient causes of economic development. Economic historians can teach us a great deal about how Britain became the first industrialized nation, but do not agree about why Britain, not France or China, was the first to industrialize.

Political Science

Political science, the study of how people are governed or govern themselves, goes back to Confucius and Mencius in China and Plato and Aristotle in Greece. These ancients were concerned with how the state worked and, more importantly, with how the state should work. The tradition of examining these questions continued with such familiar writers as Niccolo Machiavelli (1469–1527), John Locke (1632–1704), and James Madison (1751–1836). The intellectual descendants of these political theorists continue to work within the field of political science, and their subfield is called political philosophy. As its name implies, political philosophy is close to philosophy in method and content. It is also close to intellectual history, but there is a difference. A political philosopher and an intellectual historian may look at the same subject—for example, James Madison—but the political scientist will tend to look at Madison for what he can tell us about politics, while the historian will try to show how Madison’s thinking is a product of his time. The modern field of political science emerged at the end of the nineteenth century. As the name implies, many of the new political scientists wanted to make the discipline more scientific. They wanted it to be more relevant and more empirical so it would be better able to study the state as it worked in reality. Most contemporary political scientists belong to this tradition and carefully study various aspects of present-day politics in a democracy, including voting behavior, the influence of lobbying, and the relationship of state and local governments. Some political scientists use mathematical techniques and, as in other social sciences, there is a lively debate within the field about just how scientific political science is. For the study of world history, the most important subfields of political science are political philosophy, international relations, and comparative government.

Psychology, the study of both the mind and the brain, belongs to both the social and the natural sciences. Although the focus of psychology is on the individual, not the group, it is considered a social science because the individual is embedded in one or more groups. Psychologists, like other social scientists, apply their knowledge to human problems, ranging from mental illness to career choices, and a large proportion of psychologists work outside of the university. Many aspects of psychology are of interest to historians. The study of the authoritarian personality can throw light on dictators and their followers; the study of the effects of stress on individuals and groups may help explain historical circumstances. Some findings of social psychology suggest reasons why human groups are sometimes vicious and sometimes altruistic. Psychohistory, a subfield of history, uses psychology’s insights to illuminate the personalities of major historical figures such as Martin Luther (1483–1546), Mohandas Gandhi (1869–1948), and Adolph Hitler (1889–1945), as well as to analyze political movements. For students of world history, one interesting and controversial question is: how much has human psychology changed over time? Neither historians nor psychologists are agreed on whether, or in what ways, the human psyche is different now than it was two hundred or two thousand years ago. Here psychology meets anthropology and we can ask to what extent human psychology is the product of culture.

Sociology is the study of human groups from the very small to the very large. Unlike anthropologists, who generally study small traditional communities (Gemeinschaft), sociologists tend to study modern, relatively impersonal urbanized societies (Gesellschaft). They study myriad aspects of these societies, from marriage to bureaucracy to social mobility. In the nineteenth century, the founders of sociology formulated grand historical theories. Among the main practitioners of this proto-sociology were Comte (the inventor of the word sociology), Herbert Spencer (1820–1903), a social Darwinist who popularized sociology, Karl Marx (1818–1883), and Alexis de Tocqueville (1805–1859). Each of these thinkers explained historical change, mainly European historical change, in terms of a different but broadly evolutionary general theory. In the late nineteenth century sociology became an academic discipline because of the work of men like Emile Durkheim (1858–1917) in France and Max Weber (1864–1920) in Germany, who retained a broad historical outlook while abandoning the interesting but unproven grand theories of their predecessors. A classic example of the use of sociology to illuminate historical trends is Weber’s famous work The Protestant Ethic and the Spirit of Capitalism, which shows how the Protestant mentality contributed to the rise of capitalism.

The nineteenth century saw numerous attempts to understand the problems of society: poverty, crime, race, social conflict, and so forth. At the same time, more systematic ways of examining such problems were undertaken and governments began to publish more systematic statistics. In the twentieth century, as sociology became a profession, sociologists began to develop more rigorous approaches to the study of society, and especially of social problems. Sociology, as it developed in the twentieth century, can be contrasted with economics. Economists assume a society made up of rational individuals, each of whom is trying to maximize her or his personal well-being. For sociologists, economic interactions are important, but sociologists are interested in how they are embedded in wider social interactions. Economists generally believe voluntary exchanges between free individuals are mutually beneficial. Sociologists, on the other hand, emphasize that free exchanges are not so free because they are constrained by all sorts of social conditions such as the inequality of power and social norms. Sociologists stress that people are not poor or “deviant” because of their personal deficiencies. They are interested in the fact that some individuals and groups have more power than others and in the way they use their power to dominate and gain the material and psychic advantages available in their society. Not surprisingly, sociologists are often critical of society as it is.

A Natural Partnership in Social Sciences

The social sciences and history, especially world history, are natural partners since both study the same phenomenon: collective human life. Unfortunately, much of the time they travel in separate compartments. This is partly due to the high level of specialization of modern scholarship. It is difficult to keep up with the main developments of even one discipline, and keeping up with several is beyond any person’s capacity. Interaction between fields of study is also difficult because different disciplines have very different ways of approaching how humans interact. But it remains important for world historians to learn from and use all the social sciences.

Bibliography:

Cohen, S. (1972). Folk devils and moral panics. London: MacGibbon & Kee.
Comte, A. (1842). Cours de philosophie positive. Paris: Bachelier.
Durkheim, E. (1933). The division of labor in society (George Simpson, Trans.). New York: Macmillan. (Original work published 1893)
Elias, N. (2000). The civilising process (Rev. ed.). Oxford, U.K.: Blackwell.
Erikson, K. T. (1966). Wayward Puritans. New York: Wiley.
Goudsblom, J. (1977). Sociology in the balance. Oxford, U.K.: Blackwell.
Khaldun, I. (1958). The Muqaddimah: An introduction to history. London: Routledge & Kegan Paul.
Mann, M. (1986–1993). The sources of social power. Cambridge, U.K.: Cambridge University Press.
Nisbet, R. (1969). Social change and history: Aspects of the Western theory of development. New York: Oxford University Press.
Skocpol, T. (1979). States and social revolutions. Cambridge, U.K.: Cambridge University Press.
Spencer, H. (1888). The study of sociology (14th ed). London: Kegan Paul, Trench.
Wallerstein, I. (1974–1989). The modern world-system. New York: Academic Press.
Weber, M. (2001). The Protestant ethic and the spirit of capitalism. New York: Routledge. (Original work published 1904)
Wolf, E. (1981). Europe and the people without history. Los Angeles/ Berkeley: University of California Press.

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example of social science research paper

Understanding Naturalistic Observation in Research

This essay is about naturalistic observation, a research method used to observe subjects in their natural environment without interference. It discusses the advantages of this method, such as providing rich, qualitative insights into behavior, and the challenges, including observer bias and lack of control over variables. The essay also touches on ethical considerations and the impact of technological advancements on the effectiveness of naturalistic observation. Examples from various fields like anthropology, ecology, and psychology illustrate the method’s versatility and significance in understanding authentic behaviors in real-world settings.

How it works

Naturalistic observation emerges as a method frequently employed in psychology and the social sciences. This methodology entails the observation of subjects in their native habitat devoid of any manipulation or intrusion by the investigator. The primary objective is to amass data on the behavioral patterns of subjects within authentic settings, proffering insights that may elude capture within a more regimented laboratory milieu. By affording behaviors the latitude to manifest organically, researchers can glean genuine reactions and interchanges, rendering this method invaluable for certain types of inquiries.

An eminent advantage of naturalistic observation lies in its capacity to furnish a nuanced, qualitative comprehension of behavior. For instance, through the observation of juveniles at a recreational area, an investigator can discern not only their play dynamics but also their social dynamics, conflict resolution strategies, and the evolution of their play over time. These observations can subsequently underpin deductions regarding social maturation, aggression, collaboration, and other facets of behavior. Such profundity of insight often eludes attainment through alternative methodologies such as surveys or experiments, wherein the contrived nature of the milieu may exert a sway over the behavior under observation.

Nevertheless, naturalistic observation is not devoid of impediments. One of the principal challenges pertains to the specter of observer partiality. Since the investigator is actively monitoring and documenting behaviors, their own presumptions or convictions may inadvertently color their perceptions and interpretations. To counteract this tendency, researchers frequently deploy strategies such as inter-observer concordance, whereby multiple observers independently record the same occurrence and subsequently compare findings to ascertain congruity. Furthermore, meticulous protocols and training can aid observers in preserving objectivity to the fullest extent feasible.

Another hurdle is the paucity of dominion over extraneous variables. Within a natural setting, myriad factors may influence behavior, ranging from meteorological conditions to the presence of bystanders. This renders the establishment of causal relationships a daunting task. For instance, if an investigator is scrutinizing responses to public art installations, discerning whether reactions stem from the art per se or from ancillary factors such as temporal considerations or pedestrian traffic patterns may prove challenging. Despite these constraints, the concession is often warranted for the genuine, ecological validity that naturalistic observation affords.

Ethical considerations likewise loom large in naturalistic observation. Researchers must strike a delicate equilibrium between the exigencies of unobtrusive observation and the entitlements of the subjects under observation. Frequently, this entails safeguarding the anonymity of subjects and refraining from documenting their conduct without their explicit consent, particularly within private domains. Public settings, wherein individuals lack a reasonable expectation of privacy, typically afford greater latitude for naturalistic observation. Nevertheless, ethical precepts must be rigorously adhered to in order to uphold the dignity and rights of all implicated subjects.

Naturalistic observation has made substantial inroads across various domains of inquiry. In anthropology, it has served as a lens through which to explore cultural customs and social configurations across disparate communities. In ecology, scientists engage in the observation of fauna within their native habitats to fathom behaviors germane to survival, procreation, and social dynamics. In psychology, it has proven instrumental in elucidating human behaviors spanning from the genesis of adolescence to social dynamics and psychological well-being. The method’s malleability renders it adaptable to a panoply of research queries and contexts, endowing it with a versatile utility in the researcher’s repertoire.

Technological strides have further augmented the efficacy of naturalistic observation. Contemporary tools such as video recording apparatuses, mobile devices, and even unmanned aerial vehicles can expedite data collection while minimizing interference. These innovations facilitate more granular and precise observations, which can be reviewed iteratively for analysis. Moreover, analytic software can aid in discerning patterns and drawing inferences from voluminous troves of observational data, thereby engendering a more rigorous and methodical analytical process.

In summation, naturalistic observation emerges as a potent means of dissecting behavior within its native milieu. Despite its impediments, including observer partiality, variable control constraints, and ethical quandaries, it furnishes unparalleled insights into the interplay between subjects and their surroundings. By abstaining from intervention, researchers can procure data that is both authentic and germane to real-world contexts. As technological progress marches onward, the potential for naturalistic observation to enrich our comprehension of intricate behaviors is poised to burgeon, cementing its status as a cornerstone of research methodologies. Recall, this exposition serves as a springboard for contemplation and further exploration. For bespoke guidance and to ensure adherence to scholarly standards, contemplate engaging the services of professionals at EduBirdie.

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Organizing Your Social Sciences Research Paper: Writing a Case Study

Purpose of Guide
Design Flaws to Avoid
Independent and Dependent Variables
Glossary of Research Terms
Narrowing a Topic Idea
Broadening a Topic Idea
Extending the Timeliness of a Topic Idea
Academic Writing Style
Choosing a Title
Making an Outline
Paragraph Development
Executive Summary
The C.A.R.S. Model
Background Information
The Research Problem/Question
Theoretical Framework
Citation Tracking
Content Alert Services
Evaluating Sources
Reading Research Effectively
Primary Sources
Secondary Sources
Tiertiary Sources
What Is Scholarly vs. Popular?
Qualitative Methods
Quantitative Methods
Using Non-Textual Elements
Limitations of the Study
Common Grammar Mistakes
Writing Concisely
Avoiding Plagiarism
Footnotes or Endnotes?
Further Readings
Annotated Bibliography
Dealing with Nervousness
Using Visual Aids
Grading Someone Else's Paper
Types of Structured Group Activities
Group Project Survival Skills
Multiple Book Review Essay
Reviewing Collected Essays
Writing a Case Study
About Informed Consent
Writing Field Notes
Writing a Policy Memo
Writing a Research Proposal
Bibliography

The term case study refers to both a method of analysis and a specific research design for examining a problem, both of which are used in most circumstances to generalize across populations. This tab focuses on the latter--how to design and organize a research paper in the social sciences that analyzes a specific case.

A case study research paper examines a person, place, event, phenomenon, or other type of subject of analysis in order to extrapolate key themes and results that help predict future trends, illuminate previously hidden issues that can be applied to practice, and/or provide a means for understanding an important research problem with greater clarity. A case study paper usually examines a single subject of analysis, but case study papers can also be designed as a comparative investigation that shows relationships between two or among more than two subjects. The methods used to study a case can rest within a quantitative, qualitative, or mixed-method investigative paradigm.

Case Studies . Writing@CSU. Colorado State University; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010 ; “What is a Case Study?” In Swanborn, Peter G. Case Study Research: What, Why and How? London: SAGE, 2010.

How to Approach Writing a Case Study Research Paper

General information about how to choose a topic to investigate can be found under the " Choosing a Research Problem " tab in this writing guide. Review this page because it may help you identify a subject of analysis that can be investigated using a single case study design.

However, identifying a case to investigate involves more than choosing the research problem . A case study encompasses a problem contextualized around the application of in-depth analysis, interpretation, and discussion, often resulting in specific recommendations for action or for improving existing conditions. As Seawright and Gerring note, practical considerations such as time and access to information can influence case selection, but these issues should not be the sole factors used in describing the methodological justification for identifying a particular case to study. Given this, selecting a case includes considering the following:

Does the case represent an unusual or atypical example of a research problem that requires more in-depth analysis? Cases often represent a topic that rests on the fringes of prior investigations because the case may provide new ways of understanding the research problem. For example, if the research problem is to identify strategies to improve policies that support girl's access to secondary education in predominantly Muslim nations, you could consider using Azerbaijan as a case study rather than selecting a more obvious nation in the Middle East. Doing so may reveal important new insights into recommending how governments in other predominantly Muslim nations can formulate policies that support improved access to education for girls.
Does the case provide important insight or illuminate a previously hidden problem? In-depth analysis of a case can be based on the hypothesis that the case study will reveal trends or issues that have not been exposed in prior research or will reveal new and important implications for practice. For example, anecdotal evidence may suggest drug use among homeless veterans is related to their patterns of travel throughout the day. Assuming prior studies have not looked at individual travel choices as a way to study access to illicit drug use, a case study that observes a homeless veteran could reveal how issues of personal mobility choices facilitate regular access to illicit drugs. Note that it is important to conduct a thorough literature review to ensure that your assumption about the need to reveal new insights or previously hidden problems is valid and evidence-based.
Does the case challenge and offer a counter-point to prevailing assumptions? Over time, research on any given topic can fall into a trap of developing assumptions based on outdated studies that are still applied to new or changing conditions or the idea that something should simply be accepted as "common sense," even though the issue has not been thoroughly tested in practice. A case may offer you an opportunity to gather evidence that challenges prevailing assumptions about a research problem and provide a new set of recommendations applied to practice that have not been tested previously. For example, perhaps there has been a long practice among scholars to apply a particular theory in explaining the relationship between two subjects of analysis. Your case could challenge this assumption by applying an innovative theoretical framework [perhaps borrowed from another discipline] to the study a case in order to explore whether this approach offers new ways of understanding the research problem. Taking a contrarian stance is one of the most important ways that new knowledge and understanding develops from existing literature.
Does the case provide an opportunity to pursue action leading to the resolution of a problem? Another way to think about choosing a case to study is to consider how the results from investigating a particular case may result in findings that reveal ways in which to resolve an existing or emerging problem. For example, studying the case of an unforeseen incident, such as a fatal accident at a railroad crossing, can reveal hidden issues that could be applied to preventative measures that contribute to reducing the chance of accidents in the future. In this example, a case study investigating the accident could lead to a better understanding of where to strategically locate additional signals at other railroad crossings in order to better warn drivers of an approaching train, particularly when visibility is hindered by heavy rain, fog, or at night.
Does the case offer a new direction in future research? A case study can be used as a tool for exploratory research that points to a need for further examination of the research problem. A case can be used when there are few studies that help predict an outcome or that establish a clear understanding about how best to proceed in addressing a problem. For example, after conducting a thorough literature review [very important!], you discover that little research exists showing the ways in which women contribute to promoting water conservation in rural communities of Uganda. A case study of how women contribute to saving water in a particular village can lay the foundation for understanding the need for more thorough research that documents how women in their roles as cooks and family caregivers think about water as a valuable resource within their community throughout rural regions of east Africa. The case could also point to the need for scholars to apply feminist theories of work and family to the issue of water conservation.

Eisenhardt, Kathleen M. “Building Theories from Case Study Research.” Academy of Management Review 14 (October 1989): 532-550; Emmel, Nick. Sampling and Choosing Cases in Qualitative Research: A Realist Approach . Thousand Oaks, CA: SAGE Publications, 2013; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Seawright, Jason and John Gerring. "Case Selection Techniques in Case Study Research." Political Research Quarterly 61 (June 2008): 294-308.

Structure and Writing Style

The purpose of a paper in the social sciences designed around a case study is to thoroughly investigate a subject of analysis in order to reveal a new understanding about the research problem and, in so doing, contributing new knowledge to what is already known from previous studies. In applied social sciences disciplines [e.g., education, social work, public administration, etc.], case studies may also be used to reveal best practices, highlight key programs, or investigate interesting aspects of professional work. In general, the structure of a case study research paper is not all that different from a standard college-level research paper. However, there are subtle differences you should be aware of. Here are the key elements to organizing and writing a case study research paper.

I. Introduction

As with any research paper, your introduction should serve as a roadmap for your readers to ascertain the scope and purpose of your study . The introduction to a case study research paper, however, should not only describe the research problem and its significance, but you should also succinctly describe why the case is being used and how it relates to addressing the problem. The two elements should be linked. With this in mind, a good introduction answers these four questions:

What was I studying? Describe the research problem and describe the subject of analysis you have chosen to address the problem. Explain how they are linked and what elements of the case will help to expand knowledge and understanding about the problem.
Why was this topic important to investigate? Describe the significance of the research problem and state why a case study design and the subject of analysis that the paper is designed around is appropriate in addressing the problem.
What did we know about this topic before I did this study? Provide background that helps lead the reader into the more in-depth literature review to follow. If applicable, summarize prior case study research applied to the research problem and why it fails to adequately address the research problem. Describe why your case will be useful. If no prior case studies have been used to address the research problem, explain why you have selected this subject of analysis.
How will this study advance new knowledge or new ways of understanding? Explain why your case study will be suitable in helping to expand knowledge and understanding about the research problem.

Each of these questions should be addressed in no more than a few paragraphs. Exceptions to this can be when you are addressing a complex research problem or subject of analysis that requires more in-depth background information.

II. Literature Review

The literature review for a case study research paper is generally structured the same as it is for any college-level research paper. The difference, however, is that the literature review is focused on providing background information and enabling historical interpretation of the subject of analysis in relation to the research problem the case is intended to address . This includes synthesizing studies that help to:

Place relevant works in the context of their contribution to understanding the case study being investigated . This would include summarizing studies that have used a similar subject of analysis to investigate the research problem. If there is literature using the same or a very similar case to study, you need to explain why duplicating past research is important [e.g., conditions have changed; prior studies were conducted long ago, etc.].
Describe the relationship each work has to the others under consideration that informs the reader why this case is applicable . Your literature review should include a description of any works that support using the case to study the research problem and the underlying research questions.
Identify new ways to interpret prior research using the case study . If applicable, review any research that has examined the research problem using a different research design. Explain how your case study design may reveal new knowledge or a new perspective or that can redirect research in an important new direction.
Resolve conflicts amongst seemingly contradictory previous studies . This refers to synthesizing any literature that points to unresolved issues of concern about the research problem and describing how the subject of analysis that forms the case study can help resolve these existing contradictions.
Point the way in fulfilling a need for additional research . Your review should examine any literature that lays a foundation for understanding why your case study design and the subject of analysis around which you have designed your study may reveal a new way of approaching the research problem or offer a perspective that points to the need for additional research.
Expose any gaps that exist in the literature that the case study could help to fill . Summarize any literature that not only shows how your subject of analysis contributes to understanding the research problem, but how your case contributes to a new way of understanding the problem that prior research has failed to do.
Locate your own research within the context of existing literature [very important!] . Collectively, your literature review should always place your case study within the larger domain of prior research about the problem. The overarching purpose of reviewing pertinent literature in a case study paper is to demonstrate that you have thoroughly identified and synthesized prior studies in the context of explaining the relevance of the case in addressing the research problem.

III. Method

In this section, you explain why you selected a particular subject of analysis to study and the strategy you used to identify and ultimately decide that your case was appropriate in addressing the research problem. The way you describe the methods used varies depending on the type of subject of analysis that frames your case study.

If your subject of analysis is an incident or event . In the social and behavioral sciences, the event or incident that represents the case to be studied is usually bounded by time and place, with a clear beginning and end and with an identifiable location or position relative to its surroundings. The subject of analysis can be a rare or critical event or it can focus on a typical or regular event. The purpose of studying a rare event is to illuminate new ways of thinking about the broader research problem or to test a hypothesis. Critical incident case studies must describe the method by which you identified the event and explain the process by which you determined the validity of this case to inform broader perspectives about the research problem or to reveal new findings. However, the event does not have to be a rare or uniquely significant to support new thinking about the research problem or to challenge an existing hypothesis. For example, Walo, Bull, and Breen conducted a case study to identify and evaluate the direct and indirect economic benefits and costs of a local sports event in the City of Lismore, New South Wales, Australia. The purpose of their study was to provide new insights from measuring the impact of a typical local sports event that prior studies could not measure well because they focused on large "mega-events." Whether the event is rare or not, the methods section should include an explanation of the following characteristics of the event: a) when did it take place; b) what were the underlying circumstances leading to the event; c) what were the consequences of the event.

If your subject of analysis is a person. Explain why you selected this particular individual to be studied and describe what experience he or she has had that provides an opportunity to advance new understandings about the research problem. Mention any background about this person which might help the reader understand the significance of his/her experiences that make them worthy of study. This includes describing the relationships this person has had with other people, institutions, and/or events that support using him or her as the subject for a case study research paper. It is particularly important to differentiate the person as the subject of analysis from others and to succinctly explain how the person relates to examining the research problem.

If your subject of analysis is a place. In general, a case study that investigates a place suggests a subject of analysis that is unique or special in some way and that this uniqueness can be used to build new understanding or knowledge about the research problem. A case study of a place must not only describe its various attributes relevant to the research problem [e.g., physical, social, cultural, economic, political, etc.], but you must state the method by which you determined that this place will illuminate new understandings about the research problem. It is also important to articulate why a particular place as the case for study is being used if similar places also exist [i.e., if you are studying patterns of homeless encampments of veterans in open spaces, why study Echo Park in Los Angeles rather than Griffith Park?]. If applicable, describe what type of human activity involving this place makes it a good choice to study [e.g., prior research reveals Echo Park has more homeless veterans].

If your subject of analysis is a phenomenon. A phenomenon refers to a fact, occurrence, or circumstance that can be studied or observed but with the cause or explanation to be in question. In this sense, a phenomenon that forms your subject of analysis can encompass anything that can be observed or presumed to exist but is not fully understood. In the social and behavioral sciences, the case usually focuses on human interaction within a complex physical, social, economic, cultural, or political system. For example, the phenomenon could be the observation that many vehicles used by ISIS fighters are small trucks with English language advertisements on them. The research problem could be that ISIS fighters are difficult to combat because they are highly mobile. The research questions could be how and by what means are these vehicles used by ISIS being supplied to the militants and how might supply lines to these vehicles be cut? How might knowing the suppliers of these trucks from overseas reveal larger networks of collaborators and financial support? A case study of a phenomenon most often encompasses an in-depth analysis of a cause and effect that is grounded in an interactive relationship between people and their environment in some way.

NOTE: The choice of the case or set of cases to study cannot appear random. Evidence that supports the method by which you identified and chose your subject of analysis should be linked to the findings from the literature review. Be sure to cite any prior studies that helped you determine that the case you chose was appropriate for investigating the research problem.

IV. Discussion

The main elements of your discussion section are generally the same as any research paper, but centered around interpreting and drawing conclusions about the key findings from your case study. Note that a general social sciences research paper may contain a separate section to report findings. However, in a paper designed around a case study, it is more common to combine a description of the findings with the discussion about their implications. The objectives of your discussion section should include the following:

Reiterate the Research Problem/State the Major Findings Briefly reiterate the research problem you are investigating and explain why the subject of analysis around which you designed the case study were used. You should then describe the findings revealed from your study of the case using direct, declarative, and succinct proclamation of the study results. Highlight any findings that were unexpected or especially profound.

Explain the Meaning of the Findings and Why They are Important Systematically explain the meaning of your case study findings and why you believe they are important. Begin this part of the section by repeating what you consider to be your most important or surprising finding first, then systematically review each finding. Be sure to thoroughly extrapolate what your analysis of the case can tell the reader about situations or conditions beyond the actual case that was studied while, at the same time, being careful not to misconstrue or conflate a finding that undermines the external validity of your conclusions.

Relate the Findings to Similar Studies No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your case study results to those found in other studies, particularly if questions raised from prior studies served as the motivation for choosing your subject of analysis. This is important because comparing and contrasting the findings of other studies helps to support the overall importance of your results and it highlights how and in what ways your case study design and the subject of analysis differs from prior research about the topic.

Consider Alternative Explanations of the Findings It is important to remember that the purpose of social science research is to discover and not to prove. When writing the discussion section, you should carefully consider all possible explanations for the case study results, rather than just those that fit your hypothesis or prior assumptions and biases. Be alert to what the in-depth analysis of the case may reveal about the research problem, including offering a contrarian perspective to what scholars have stated in prior research.

Acknowledge the Study's Limitations You can state the study's limitations in the conclusion section of your paper but describing the limitations of your subject of analysis in the discussion section provides an opportunity to identify the limitations and explain why they are not significant. This part of the discussion section should also note any unanswered questions or issues your case study could not address. More detailed information about how to document any limitations to your research can be found here .

Suggest Areas for Further Research Although your case study may offer important insights about the research problem, there are likely additional questions related to the problem that remain unanswered or findings that unexpectedly revealed themselves as a result of your in-depth analysis of the case. Be sure that the recommendations for further research are linked to the research problem and that you explain why your recommendations are valid in other contexts and based on the original assumptions of your study.

V. Conclusion

As with any research paper, you should summarize your conclusion in clear, simple language; emphasize how the findings from your case study differs from or supports prior research and why. Do not simply reiterate the discussion section. Provide a synthesis of key findings presented in the paper to show how these converge to address the research problem. If you haven't already done so in the discussion section, be sure to document the limitations of your case study and needs for further research.

The function of your paper's conclusion is to: 1) restate the main argument supported by the findings from the analysis of your case; 2) clearly state the context, background, and necessity of pursuing the research problem using a case study design in relation to an issue, controversy, or a gap found from reviewing the literature; and, 3) provide a place for you to persuasively and succinctly restate the significance of your research problem, given that the reader has now been presented with in-depth information about the topic.

Consider the following points to help ensure your conclusion is appropriate:

If the argument or purpose of your paper is complex, you may need to summarize these points for your reader.
If prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the conclusion of your paper to describe your main points and explain their significance.
Move from a detailed to a general level of consideration of the case study's findings that returns the topic to the context provided by the introduction or within a new context that emerges from your case study findings.

Note that, depending on the discipline you are writing in and your professor's preferences, the concluding paragraph may contain your final reflections on the evidence presented applied to practice or on the essay's central research problem. However, the nature of being introspective about the subject of analysis you have investigated will depend on whether you are explicitly asked to express your observations in this way.

Problems to Avoid

Overgeneralization One of the goals of a case study is to lay a foundation for understanding broader trends and issues applied to similar circumstances. However, be careful when drawing conclusions from your case study. They must be evidence-based and grounded in the results of the study; otherwise, it is merely speculation. Looking at a prior example, it would be incorrect to state that a factor in improving girls access to education in Azerbaijan and the policy implications this may have for improving access in other Muslim nations is due to girls access to social media if there is no documentary evidence from your case study to indicate this. There may be anecdotal evidence that retention rates were better for girls who were on social media, but this observation would only point to the need for further research and would not be a definitive finding if this was not a part of your original research agenda.

Failure to Document Limitations No case is going to reveal all that needs to be understood about a research problem. Therefore, just as you have to clearly state the limitations of a general research study , you must describe the specific limitations inherent in the subject of analysis. For example, the case of studying how women conceptualize the need for water conservation in a village in Uganda could have limited application in other cultural contexts or in areas where fresh water from rivers or lakes is plentiful and, therefore, conservation is understood differently than preserving access to a scarce resource.

Failure to Extrapolate All Possible Implications Just as you don't want to over-generalize from your case study findings, you also have to be thorough in the consideration of all possible outcomes or recommendations derived from your findings. If you do not, your reader may question the validity of your analysis, particularly if you failed to document an obvious outcome from your case study research. For example, in the case of studying the accident at the railroad crossing to evaluate where and what types of warning signals should be located, you failed to take into consideration speed limit signage as well as warning signals. When designing your case study, be sure you have thoroughly addressed all aspects of the problem and do not leave gaps in your analysis.

Case Studies . Writing@CSU. Colorado State University; Gerring, John. Case Study Research: Principles and Practices . New York: Cambridge University Press, 2007; Merriam, Sharan B. Qualitative Research and Case Study Applications in Education . Rev. ed. San Francisco, CA: Jossey-Bass, 1998; Miller, Lisa L. “The Use of Case Studies in Law and Social Science Research.” Annual Review of Law and Social Science 14 (2018): TBD; Mills, Albert J., Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Putney, LeAnn Grogan. "Case Study." In Encyclopedia of Research Design , Neil J. Salkind, editor. (Thousand Oaks, CA: SAGE Publications, 2010), pp. 116-120; Simons, Helen. Case Study Research in Practice . London: SAGE Publications, 2009; Kratochwill, Thomas R. and Joel R. Levin, editors. Single-Case Research Design and Analysis: New Development for Psychology and Education . Hilldsale, NJ: Lawrence Erlbaum Associates, 1992; Swanborn, Peter G. Case Study Research: What, Why and How? London : SAGE, 2010; Yin, Robert K. Case Study Research: Design and Methods . 6th edition. Los Angeles, CA, SAGE Publications, 2014; Walo, Maree, Adrian Bull, and Helen Breen. “Achieving Economic Benefits at Local Events: A Case Study of a Local Sports Event.” Festival Management and Event Tourism 4 (1996): 95-106.

Writing Tip

At Least Five Misconceptions about Case Study Research

Social science case studies are often perceived as limited in their ability to create new knowledge because they are not randomly selected and findings cannot be generalized to larger populations. Flyvbjerg examines five misunderstandings about case study research and systematically "corrects" each one. To quote, these are:

Misunderstanding 1 : General, theoretical [context-independent knowledge is more valuable than concrete, practical (context-dependent) knowledge. Misunderstanding 2 : One cannot generalize on the basis of an individual case; therefore, the case study cannot contribute to scientific development. Misunderstanding 3 : The case study is most useful for generating hypotheses; that is, in the first stage of a total research process, whereas other methods are more suitable for hypotheses testing and theory building. Misunderstanding 4 : The case study contains a bias toward verification, that is, a tendency to confirm the researcher’s preconceived notions. Misunderstanding 5 : It is often difficult to summarize and develop general propositions and theories on the basis of specific case studies [p. 221].

While writing your paper, think introspectively about how you addressed these misconceptions because to do so can help you strengthen the validity and reliability of your research by clarifying issues of case selection, the testing and challenging of existing assumptions, the interpretation of key findings, and the summation of case outcomes. Think of a case study research paper as a complete, in-depth narrative about the specific properties and key characteristics of your subject of analysis applied to the research problem.

Flyvbjerg, Bent. “Five Misunderstandings About Case-Study Research.” Qualitative Inquiry 12 (April 2006): 219-245.

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Open access
Published: 27 May 2024

Knowledge creates value: the role of financial literacy in entrepreneurial behavior

Shulin Xu 1 &
Kangqi Jiang 2

Humanities and Social Sciences Communications volume 11 , Article number: 679 ( 2024 ) Cite this article

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Under the backdrop of economic globalization and the digital economy, entrepreneurial behavior has emerged not only as a focal point of management research but also as an urgent topic within the domain of family finance. This paper scrutinizes the ramifications of financial literacy on household entrepreneurial behavior utilizing data from China’s sample of the China Household Finance Survey spanning the years 2015 and 2017. Employing the ordered Probit model, we pursue our research objectives. Our findings suggest that financial literacy exerts immediate, persistent, and evolving positive effects on households’ engagement in entrepreneurial activities and their proclivity toward entrepreneurship. Through the mitigation of endogeneity in the regression model, the outcomes of the two-stage regression corroborate the primary regression results. An examination of heterogeneity unveils noteworthy disparities between urban and rural areas, as well as gender discrepancies, in how financial literacy influences household entrepreneurial behavior. Furthermore, this study validates three potential pathways—namely income, social network, and risk attitude channels—demonstrating that financial literacy significantly augments household income, expands social networks, and enhances risk attitudes. Moreover, through supplementary analysis, we ascertain that financial education amplifies the impact of financial literacy on entrepreneurial behavior. Our study contributes to the enrichment of human capital theory and modern entrepreneurship theory. It advocates for robust efforts by governments and financial institutions to widely disseminate financial knowledge and foster family entrepreneurship, thereby fostering the robust and stable operation of both the global financial market and the job market.

The influence of psychological capital and social capital on women entrepreneurs’ intentions: the mediating role of attitude

Improving the entrepreneurial ability of rural migrant workers returning home in China: Study based on 5,675 questionnaires

Similar but yet different: individual cognitive traits and family contingencies as antecedents of intrapreneurship and self-employment

Introduction.

With the advancement of the global digital economy, entrepreneurship has increasingly emerged as a pivotal strategy for corporate strategic development (Cheng et al., 2024 ) and for the accumulation of residents’ wealth. Entrepreneurial behavior entails the optimization and integration of one’s own resources to generate substantial economic or social value. Individuals are expected to possess organizational and managerial abilities and to deliberate upon and determine the operational strategies for services, technologies, and equipment to engage in rational entrepreneurial endeavors (Levesque and Minniti, 2006 ). Entrepreneurial activities play a crucial role in fostering labor market prosperity, achieving social equity, enhancing the flow of social capital, and sustaining the healthy and stable functioning of the social economy (Hombert et al., 2020 ; Schmitz, 1989 ). They also hold promise for alleviating the current economic crisis through the exploitation of renewable energy sources (Abou Houran, 2023 ) and enhancing firm productivity (Tao et al., 2023 ). According to human capital theory, as posited by Becker ( 2009 ), human capital encompasses the cumulative knowledge, skills, cultural sophistication, and health status of an individual. Financial literacy, as a form of scarce human capital, constitutes a significant driver of entrepreneurial decision-making and motivation. On the one hand, the migration of individuals possessing high financial literacy fosters the transfer of theoretical knowledge and technical expertise, while the symbiotic interaction of knowledge, skills, and capabilities nurtures a reservoir of knowledge and entrepreneurial dynamism. On the other hand, individuals with elevated financial literacy are more likely to enhance their awareness and identification of opportunities within an imbalanced market, thereby bolstering their self-awareness and catalyzing independent innovation and entrepreneurship. Moreover, in line with modern entrepreneurship theory, Alvarez and Busenitz ( 2001 ) contend that entrepreneurial opportunities are endogenous. Entrepreneurs equipped with the requisite skills and knowledge pertaining to entrepreneurship are better positioned to identify and exploit opportunities. Additionally, they possess extensive and efficacious social networks, enabling them to access valuable information and resources conducive to enhancing entrepreneurial performance. Against the backdrop of economic globalization and the digital economy, governments worldwide are actively encouraging entrepreneurial engagement. They have enacted financial support policies and preferential tax measures to enhance the domestic entrepreneurial ecosystem and to galvanize individuals’ entrepreneurial potential. For instance, the Chinese government introduced numerous policies aimed at fostering entrepreneurial endeavors in 2018. Similarly, the U.S. government is proactively implementing several initiatives to foster an environment conducive to the flourishing of small and medium-sized enterprises, striving to institute permanent tax relief measures for small businesses.

However, the enhancement of the entrepreneurial environment can engender a proliferation of entrepreneurial opportunities (Segaf, 2023 ). Yet, the ability of entrepreneurs to seize such opportunities for proactive entrepreneurship remains constrained by numerous factors, including the development of the digital economy (Sussan and Acs, 2017 ; Firmansyah et al., 2023 ; Zhao and Weng, 2024 ), social networks (Karlan, 2007 ; Qi and Chun, 2017 ), human capital (Dawson et al., 2014 ), risk attitudes (Osman, 2014 ), government regulations (Black and Strahan, 2002 ), institutional environments (Burtch et al., 2018 ; Lan et al., 2018 ), institutional changes within universities (Eesley et al., 2016 ), financial constraints (Hurst and Lusardi, 2004 ; Asongu et al., 2020 ), policy interventions (Sharipov and Zaynuidinova, 2020 ), cognitive abilities (Haynie et al., 2012 ), personal beliefs regarding character and opportunity (Pidduck et al., 2023 ), household background, income levels, and trust (Kwon and Arenius, 2010 ). Entrepreneurial activities entail the identification and exploitation of entrepreneurial opportunities and the utilization of entrepreneurial resources. These endeavors invariably entail considerations of business management, financial matters, and professional concerns. Entrepreneurs must possess adequate financial literacy to ensure the rationality of entrepreneurial decision-making, the judicious allocation of entrepreneurial resources, the mitigation of venture capital risks, and the effective operation of enterprises. Drawing from a review of international experiences, scholars predominantly emphasize macroeconomic environments (Arin et al., 2015 ), institutional frameworks, cultural disparities (Liang et al., 2018 ), credit constraints (Ma et al., 2018 ), liquidity constraints (Beck et al., 2018 ), as well as micro-level factors such as social networks (Yueh, 2009 ), and information availability (Companys and McMullen, 2007 ), when examining the determinants of entrepreneurial activities.

From a current static perspective, existing studies indicate a close association between financial literacy and a range of financial behaviors and economic outcomes. A wealth of evidence demonstrates that financial literacy fosters household income growth (Behrman et al., 2012 ), facilitates the expansion of social networks (Kinnan and Townsend, 2012 ; Suresh, 2024 ), and enhances residents’ risk attitudes (Mishra, 2018 ), all of which can also impact entrepreneurial behavior. Thus, we posit that financial literacy may influence household entrepreneurial activities through three primary channels. Firstly, prior research has affirmed that higher levels of financial literacy correlate with enhanced information acquisition and processing abilities, leading to more informed decision-making (Forbes and Kara, 2010 ; Molina-García et al., 2023 ), fostering healthier and more rational investment philosophies and habits. These factors, in turn, contribute to improved investment returns and elevated household income levels. Household entrepreneurial activities necessitate sufficient financial support for use as entrepreneurial funds, and throughout the entrepreneurial process, a continuous stream of funds is required for operational and managerial purposes. Household wealth and income serve as the principal resources for family entrepreneurship, indispensable for entrepreneurial endeavors.

Secondly, studies by Korkmaz et al. ( 2021 ), Mishra ( 2018 ), and Mushafiq et al. ( 2023 ) reveal that heightened levels of financial literacy correlate with an increased likelihood of risk-taking or risk-neutrality and diminished tendencies toward risk aversion. This indicates that enhancing financial literacy significantly bolsters individuals’ risk appetites and reduces risk aversion. Entrepreneurship inherently entails risk-taking behavior and a willingness to embark on new ventures. Therefore, risk attitudes are intricately linked to entrepreneurial behavior. Research by Van Praag and Cramer ( 2001 ), as well as Long et al. ( 2023 ), spanning a 41-year study of 5800 Danish students, illustrates significant disparities in entrepreneurial willingness among individuals with varying risk preferences, with risk-conscious individuals exhibiting stronger inclinations towards entrepreneurship. Thirdly, Hong et al. ( 2004 ) and Chen et al. ( 2023 ) posit that financial literacy may proliferate through word-of-mouth or observational learning methods, thereby expanding social network structures. Social networks, as a distinct form of family capital alongside physical and human capital, facilitate risk-sharing (Munshi and Rosenzweig, 2016 ) and augment the likelihood of accessing formal or informal financing (Kinnan and Townsend, 2012 ). It is widely acknowledged that family entrepreneurial activities, to some extent, depend on the support offered by family members, relatives, and friends in terms of information, financing, and business operations and management (Munshi and Rosenzweig, 2016 ). Consequently, broader family social networks correlate with heightened probabilities of choosing entrepreneurship. Financial literacy can effectively mitigate information asymmetry in financial markets by enhancing family social networks, reducing monitoring costs and risky borrowing, and addressing adverse selection and moral hazard issues, thereby alleviating financing constraints and fostering family entrepreneurial activities.

The aforementioned analysis offers insights into the impact of financial literacy on household entrepreneurial activities. Nevertheless, a pivotal inquiry remains: can financial literacy effectively bolster the likelihood of family entrepreneurial choices and entrepreneurial motivation in the long term, thereby dynamically enhancing family entrepreneurial behavior? Furthermore, the urban–rural dichotomy and gender disparities in financial literacy prevalent in numerous countries may introduce variations in the current, long-term, and dynamic effects of financial literacy on residents’ entrepreneurial behavior. This prompts us to explore the existence of such disparities and whether the mechanisms underlying these differences are mediated through income, social networks, and risk attitudes. To address these gaps in the literature and elucidate the raised questions, we propose to establish a robust empirical framework. This framework will enable us to examine how financial literacy influences local households’ entrepreneurial behavior. Figure 1 illustrates our theoretical framework, delineating how financial literacy impacts household entrepreneurial activities through three primary channels.

Theoretical design and framework.

This study empirically examines the immediate, long-term, and evolving impacts of financial literacy on household entrepreneurial activities using data from the China Household Finance Survey (CHFS) for the years 2015 and 2017. We employ the ordered Probit model to fulfill our research objectives. The findings indicate that financial literacy exerts immediate, enduring, and evolving positive effects on households’ involvement in entrepreneurial activities and their propensity toward entrepreneurship. Accounting for the endogeneity of the regression model, the results from the two-stage regression reinforce the primary regression outcomes. Heterogeneity analysis reveals significant urban–rural disparities and gender differences in the influence of financial literacy on household entrepreneurial behavior. Additionally, this research substantiates three potential pathways: income, social network, and risk attitude channels. It demonstrates that financial literacy significantly enhances household income, expands social networks, and improves risk attitudes. Further analysis reveals that financial education amplifies the impact of financial literacy on entrepreneurial behavior.

Our contributions are multifaceted: Firstly, this study advances the understanding of entrepreneurial behavior in several dimensions. Previous research primarily focuses on factors influencing entrepreneurial behavior, such as social networks (Karlan, 2007 ), human capital (Dawson et al., 2014 ), risk attitudes (Osman, 2014 ), government regulation (Black and Strahan, 2002 ), institutional environments (Lu and Tao, 2010 ), financial constraints (Hurst and Lusardi, 2004 ), cognitive ability (Haynie et al., 2012 ), household background, and trust (Kwon and Arenius, 2010 ). Few studies delve into the influence of financial literacy on entrepreneurial behaviors. We address this gap and find that financial literacy positively impacts entrepreneurial behaviors. Secondly, we measure entrepreneurial behavior at the family level, including initiative entrepreneurship in the household finance domain, thereby expanding the existing literature beyond the use of new ventures as a measurement indicator. Most importantly, our study contributes to the enrichment of human capital theory and entrepreneurship theory within the realm of household finance, providing valuable insights into the theoretical understanding of the relationship between financial literacy and entrepreneurial behavior. Thirdly, in mechanism analysis, our study is the first to investigate the three channels through which financial literacy affects household entrepreneurial behavior using CHFS data from 2015 and 2017. Lastly, our study conducts heterogeneity analysis and presents evidence of significant urban-rural disparities and gender heterogeneity in the impact of financial literacy on household entrepreneurial behavior. Furthermore, this research enhances the comprehension of the relationship between financial literacy and financial behavior. While prior studies predominantly focus on the immediate effect of financial literacy on financial behavior, our study delves deeper. We not only explore the immediate impact of financial literacy on entrepreneurial behavior but also probe into its long-term and dynamic improvement characteristics, elucidating the internal mechanisms driving these effects. For policymakers, our research provides a theoretical foundation and empirical validation to formulate entrepreneurship policies. By comprehensively understanding how financial literacy influences household entrepreneurial behavior and acknowledging the heterogeneous effects across urban–rural divides and gender disparities, governments can tailor policies to effectively support and promote entrepreneurship, thereby fostering economic growth and development. Based on the conclusions of this study, governments can fully consider residents’ financial literacy and enhance various influencing channels while encouraging innovation and entrepreneurship, thereby facilitating wealth accumulation, enhancing family welfare, and elevating the national level of innovation and entrepreneurship in entrepreneurial activities. For businesses, our research underscores the pivotal role of financial literacy in entrepreneurial activities, constituting an indispensable aspect of “entrepreneurship.” In the actual operation and management processes of enterprises, managers should prioritize the cultivation of financial literacy, as it can aid in cost reduction and the expansion of social networks, thereby realizing the healthy and stable operation of enterprises.

In the rest of this paper, the section “Literature review” reviews the relevant literature. Section “Methodology” outlines the empirical model and introduces the variables and datasets. Section “Empirical results” describes and discusses the empirical results. Section “Heterogeneity analysis” reports a heterogeneous analysis in geography, gender and income level. The section “Potential mechanism analysis” and “Further analysis: the role of financial education” discusses three channels and analyses. Section “Conclusion” concludes and policy implications.

Literature review

Factors affecting financial literacy.

The financial literacy level of respondents is primarily influenced by both micro and macro environments. Concerning microelements, empirical evidence provided by Lusardi and Mitchell ( 2014 ) suggests that men tend to exhibit higher financial literacy levels than women, largely due to women’s perceived lack of self-confidence. Notably, only elderly women demonstrate high levels of self-assurance, alongside robust investment motivation and financial management interest (Bucher‐Koenen et al., 2017 ). Furthermore, Van Rooij et al. ( 2011 ) contend that age and financial literacy follow a hump-shaped distribution pattern, indicating that young individuals under 15 and seniors over 60 typically exhibit the lowest levels of financial literacy, while the middle-aged group tends to have the highest level. The accumulation of social experience serves to enhance the financial literacy level of the middle-aged demographic (Fong et al., 2021 ; Gamble et al., 2015 ). Moreover, Lusardi et al. ( 2012 ) found a positive correlation between the number of years of education and financial literacy, implying that higher levels of education contribute to the advancement of financial literacy.

The influence of macro-elements on financial literacy permeates various facets, shaping the financial knowledge and skills of young individuals through diverse formal and informal channels such as families, schools, communities, and workplaces (Grohmann et al., 2015 ). Lusardi et al. ( 2010 ) elucidated a direct correlation between the financial literacy of young individuals and the educational level and financial behavior of their parents. Moreover, Lachance ( 2014 ) uncovered that the educational level of neighbors also impacts children’s financial literacy. Danes and Haberman ( 2007 ) observed that while short-term financial literacy education and training exert some effect, direct parental education remains a more potent influencer of children’s financial literacy. Furthermore, parents’ active involvement in financial education and training programs contributes significantly to shaping children’s financial literacy. However, the literature presents mixed findings regarding the efficacy of financial education initiatives. Mandell ( 2008 ) found no enduring effects of financial education in high school on personal financial behavior, whereas Fernandes et al. ( 2014 ) suggested that financial literacy education has a limited impact, with its effectiveness waning over time. Conversely, Bruhn et al. ( 2013 ) and Lührmann et al. ( 2015 ) argued that financial education substantially enhances high school students' financial literacy. Moreover, Song ( 2020 ) conducted a field experiment in China, demonstrating that short-term financial education projects can effectively elevate financial literacy levels, thereby improving financial behavior among individuals with low financial literacy. Regarding social security mechanisms, extant literature indicates that improvements in social security significantly correlate with enhancements in residents’ financial literacy (Lusardi and Mitchell, 2011 ). Additionally, the social milieu plays a pivotal role, with countries experiencing high inflation rates and communities characterized by a high level of financial literacy, transparent banking policies, and frequent interactions with financially literate groups positively influencing individuals’ financial literacy levels (Lachance, 2014 ; Lusardi and Mitchell, 2011 ).

With the rapid proliferation of digital technology in the economic sphere, digitization has emerged as a ubiquitous topic of discussion among scholars (Chen and Jiang, 2024 ; Koskelainen et al., 2023 ; Jiang et al., 2024 ). The digitization of conventional financial industries and the entry of internet companies have catalyzed the growth of the digital finance sector (Jiang et al., 2022 ). Pertinent literature delves into the relationship between the advancement of digital finance and financial literacy (Prete, 2022 ; Yang et al., 2023 ). For instance, Yang et al. ( 2023 ), utilizing data from the China Household Finance Survey, found that financial literacy significantly fosters individuals’ engagement in digital finance, with this effect displaying notable heterogeneity. Drawing from cross-national data, Prete ( 2022 ) observed that the utilization of digital payment tools and platforms correlates with elevated levels of financial literacy. Koskelainen et al. ( 2023 ) endeavored to explore how varied aspects of digitization, encompassing digital financial behaviors, digital interventions, and financial technology, influence individuals’ financial literacy. Furthermore, they propose methodologies for constructing a metric of digital financial literacy.

Entrepreneurial behavior

Existing research concentrates on the determinants of entrepreneurial behavior, encompassing both macroelements and microelements. Macroelements comprise the economic environment, institutional framework, cultural disparities, credit and liquidity constraints, social networks, and information environment.

Economic development stimulates market demand for entrepreneurs and fosters entrepreneurial activities (Arin et al., 2015 ; AlOmari, 2024 ). Zhao and Weng ( 2024 ) observed that the advancement of the digital economy enhances urban innovation activities. Utilizing cross-cultural entrepreneurial cognition models, Lim et al. ( 2010 ) validated the impact of institutions on entrepreneurial activities. A nation’s formal institutions can dictate its level of economic freedom, influencing households’ entrepreneurial motivations and the types of entrepreneurial ventures pursued (McMullen et al., 2008 ; Kshetri, 2023 ). Asoni and Sanandaji ( 2014 ) demonstrated that proportional taxes do not significantly affect entrepreneurial activities, whereas progressive taxes notably boost entrepreneurship. Dong et al. ( 2022 ) revealed that local leadership turnover may serve as a barrier to entrepreneurship. Additionally, the environment for protecting private property rights is intertwined with entrepreneurial activities (Levine and Rubinstein, 2017 ; Hou et al., 2023 ). The deregulation of bank branches has intensified competition within the banking sector while greatly enhancing credit accessibility, thereby promoting household entrepreneurship (Black and Strahan, 2002 ). In terms of cultural disparities, Mora ( 2013 ) posited that such differences lead to variations in entrepreneurial ideas and behavioral tendencies, with entrepreneurial activities more likely to flourish in a cultural milieu characterized by low uncertainty, fostering independent thinking, valuing wealth, and eschewing conformity (Lee et al., 2020 ). Freytag and Thurik ( 2007 ), drawing upon data from European and American countries, concluded that culture exerts a positive and significant impact on entrepreneurial preferences but does not significantly influence actual entrepreneurial activities.

The primary challenge encountered by entrepreneurial endeavors is liquidity constraints (Banerjee and Newman, 1993 ; Ma et al., 2018 ). Banerjee and Newman ( 1993 ) contend that financial support in the form of low-interest loans, financing guarantees, and credit assurances alleviates financing constraints during entrepreneurial pursuits, thereby mitigating business risks. Information asymmetry may curtail the availability of credit services for entrepreneurs and impede household entrepreneurial activities (Stiglitz and Weiss, 1981 ). Wang ( 2012 ) constructed models for employment and housing decision-making, revealing that liquidity constraints influence the interaction between personal wealth and entrepreneurial decision-making. The emergence of digital finance and the Internet has mitigated information asymmetry, moral hazard, and adverse selection, safeguarding entrepreneurs’ financial security (Beck et al., 2018 ; Qing et al., 2024 ). Furthermore, it has expanded product sales channels and enhanced the accessibility of cost-effective financial services (Berger and Udell, 2002 ; He and Maire, 2023 ), thereby fostering household entrepreneurial behavior. However, Hurst and Lusardi ( 2004 ) posit that credit constraints are not the primary impediment to entrepreneurial activities, as entrepreneurs can mitigate such constraints through savings and informal credit channels.

Social networks play a pivotal role in entrepreneurial endeavors. A robust social network can furnish material capital, technical expertise, vital information, and emotional support for household entrepreneurship (Yueh, 2009 ; Yates et al., 2023 ). Social networks effectively alleviate information asymmetry, mitigate adverse selection and moral hazard (Karlan, 2007 ; Kerr and Mandorff, 2023 ), and serve as an implicit guarantee mechanism, reducing the likelihood of default on non-governmental loans (Karlan, 2007 ). Consequently, social networks diminish liquidity constraints, thereby promoting households’ inclination towards entrepreneurship. According to entrepreneurial vigilance theory, information asymmetry gives rise to entrepreneurial opportunities, underscoring the significance of information disparities in entrepreneurial activities (Companys and McMullen, 2007 ; Wang et al., 2024 ). Trust fosters the flow of information among different social groups, cultivating social capital, and residents with greater entrepreneurial opportunities are more inclined towards entrepreneurship (Kwon and Arenius, 2010 ).

Microelements encompass human capital and psychological characteristics. Regarding human capital, Berkowitz and DeJong ( 2005 ) contend that individuals with higher education levels can swiftly and accurately identify potential entrepreneurial opportunities and efficiently allocate internal and external resources. However, compared to those with average education levels, individuals with higher education face higher opportunity costs, leading to lower entrepreneurial motivation. Additionally, some studies find no significant effect of education on entrepreneurial activities (Van der Sluis et al., 2008 ) or observe a non-linear U-shaped relationship (Poschke, 2013 ). Mankiw and Weinzierl ( 2011 ) ascertain that a lack of personal ability significantly dampens households’ entrepreneurial spirit. Entrepreneurial behavior necessitates the acquisition, organization, and analysis of information, with cognitive ability reflecting an individual’s capacity to process, store, and extract information. Thus, Haynie et al. ( 2012 ) posit that cognitive ability may influence an individual’s entrepreneurial activities. Other studies explore the relationship between an individual’s age (Caliendo et al., 2014 ), gender (Koellinger et al., 2013 ), marital status, political outlook (Yueh, 2009 ), entrepreneurial training (Blattman et al., 2014 ), work experience (Lazer, 2005 ), type of employment (Djankov et al., 2005 ), health status (Rey-Martí et al., 2016 ), management elements (Cheng et al., 2022 ), education (Cui and Bell, 2022 ; Adeel et al., 2023 ; Lin et al., 2023 ), entrepreneurial identity (Stevenson et al., 2024 ), and entrepreneurial behavior.

Concerning household wealth, the majority of studies posit a positive correlation between household wealth and entrepreneurial behavior (Evans and Jovanovic, 1989 ). Some studies also explore the impact of accidental exogenous events and policy reforms leading to increased wealth on household entrepreneurial behavior (Blattman et al., 2014 ). In terms of psychological characteristics, extant literature primarily discusses the effect of risk attitude on entrepreneurial behavior. Most studies demonstrate that individual risk preference significantly influences entrepreneurial behavior, with risk-tolerant individuals exhibiting a greater propensity for entrepreneurial activities (Osman, 2014 ). However, Hu ( 2014 ) suggests that risk-neutral individuals are more inclined to engage in active entrepreneurial activities, whereas risk-averse and risk-tolerant individuals are more predisposed to becoming waged workers.

Existing research predominantly concentrates on the determinants of financial literacy and entrepreneurial behavior. Few studies explore the impact of financial literacy on entrepreneurial behavior. This study aims to address this gap.

Methodology

Refer to prior studies (Dong et al., 2022 ; Yang et al., 2023 ; Zhao and Li, 2021 ; Xu et al., 2023 ; Graña-Alvarez et al., 2024 ), this study uses the \({{\rm {Probit}}}\) model to study the current and long-term effects of financial literacy on household entrepreneurial behavior. The basic regression equation is as follows:

When we study the current effect, \({{{\rm {Entrepre}}}}_{i}\) refers to entrepreneurship behavior of household \(i\) in 2015. \({{{\rm {Literacy}}}}_{i}\) represents financial literacy of household i in 2015. \({X}_{i}^{{\prime} }\) refers to control variables in 2015, including \({{\rm {gender}}}\) , \({{\rm {Age}}}\) , \({{{\rm {Age}}}}^{2}\) , \({{\rm {Health}}}\) , \({{\rm {Marriage}}}\) , \({{\rm {Education}}}\) , \({{\rm {RL}}}\) , \({{\rm {RN}}}\) , \({{\rm {RA}}}\) , \({\rm {{CPC}}}\) , \({{\rm {FS}}}\) , \({{\rm {Assets}}}\) , \({{\rm {NC}}}\) , \({{\rm {NE}}}\) , \({{\rm {House}}}\) , and \({{\rm {NU}}}\) . 1 \({\mu }_{i}\) is the error term. In the above regression model, we control the province-fixed effect. The current effect is a static effect based on cross-sectional data, which mainly examines whether the current financial literacy can affect the current household entrepreneurial behavior. Most existing studies only use cross-sectional data to consider current effects.

When we study the long-term effect, \({{{\rm {Entrepre}}}}_{i}\) refers to entrepreneurship behavior of household \(i\) in 2017. \({{{\rm {Literacy}}}}_{i}\) represents the financial literacy of household \(i\) in 2015. Other designs remain unchanged. The long-term effect is mainly to test whether financial literacy can have an effect on lagging entrepreneurial behavior.

Furthermore, we use the \({{\rm {ordered}}\; {\rm {Probit}}}\) model to study the dynamic effect of financial literacy on household entrepreneurial behavior as follows:

Where \({{{\rm {Entrepre}}}}_{i}^{* }\) represents the changes in entrepreneurial behavior household \(i\) during 2015–2017, it is an ordered variable, denoted by −1, 0, and 1, respectively. \({{{\rm {Literacy}}}}_{i}\) represents financial literacy of household \(i\) in 2015. \({\varphi }_{i}\) refers to control variables in 2015. The expression of \(F\) \(\left(\cdot \right)\) function in the model ( 2 ) is as follows:

Where \({{{\rm {Entrepre}}}}_{i}^{* {\prime\prime} }\) is the latent variable of \({{{\rm {Entrepre}}}}_{i}^{* }\) . \({\varepsilon }_{1} < {\varepsilon }_{2} < L < {\varepsilon }_{3}\) all are tangent points. \({{{\rm {Entrepre}}}}_{i}^{* {\prime\prime} }\) has to satisfy:

Financial literacy

Following prior studies (Lusardi and Mitchell, 2014 ; Zhao and Li, 2021 ), Table 1 reports the descriptive statistics of the answers to questions related to financial literacy as survey respondents’ financial literacy level denoted as \({{{\rm {Literacy}}}1}_{i}\) . It shows that 28.67%, 16.39%, and 51.94% of the households answered the questions of interest rate calculation, inflation understanding, and venture capital correctly, respectively, indicating that most Chinese households do not understand and calculate inflation. A total of 48.17% of the households incorrectly answered the questions about interest rate calculation, implying that Chinese households lack the ability to calculate the interest rate.

Factor analysis is also often used to measure financial literacy. Following Lusardi and Mitchell ( 2014 ), we believe that the level of financial literacy represented by wrong answers and failure to answer differs. Considering this, we construct two dummy variables for each question. Therefore, we obtain six dummy variables, including dum1–dum6. The KMO test results in Table 2 show that factor analysis is reasonable. Finally, this study selects the factors with an eigenvalue greater than one as respondents’ financial literacy denoted as \({{\rm {Literacy}}}2\) .

Referring to Zhao and Li ( 2021 ), the explained variable in this study is household entrepreneurial behavior, including \({{\rm {Enterpre}}}1\) and \({{\rm {Entrepre}}}2\) , \(\,{{Entrepre}1}^{* }\) , and \(\,{{{\rm {Entrepre}}}2}^{* }\) . \({{\rm {Entrepre}}}1\) measures whether the interviewed household participates in entrepreneurial behavior and is equal to one when the household is engaged in a self-employed business operation. \({{\rm {Entrepre}}}2\) measures whether the entrepreneurial behavior of entrepreneurial families is active and is equal to 1 if the reason for the household’s participation in entrepreneurship is “want to be the boss”, “earn more”, and “want to be more flexibles and free”. \({{{\rm {Entrepre}}}1}^{* }\) represents the changes in entrepreneurial behavior of households during 2015–2017. \({{{\rm {Entrepre}}}2}^{* }\) represents the changes in initiative entrepreneurship of households during 2015–2017. Its construction method is shown in Table 3 .

The survey data collected by the China Household Finance Survey in 2015 and 2017 are used in this paper. This database collects a large amount of information about Chinese residents through scientific surveys and statistical methods, and it is widely used in scientific research. The CHFS has designed relevant questions about the financial literacy of the interviewees. Samples with missing values are excluded. Table 4 provides the descriptive statistics of the variables. It is worth mentioning that CHFS has been widely adopted (Zhao and Li, 2021 ; Yang et al., 2023 ).

Empirical results

Financial literacy and entrepreneurial behavior.

Columns (1)–(4) in Table 5 report the estimated results of the current effect. The estimated coefficients of financial literacy in columns (1) and (2) are significant at the level of 5% and 1%, respectively, indicating that the improvement of financial literacy can significantly improve the possibility of household entrepreneurship. This result shows that financial literacy is an important determinant of household entrepreneurship decision-making, and it is the driver of household entrepreneurial activities. We found an interesting conclusion from the estimation results of the control variables. From the results in columns (1)–(4), we find that the education level of the head of the household is significantly negatively correlated with the household entrepreneurial behavior. However, the impact of our financial literacy on household entrepreneurial behavior was positive. This result seems to go against our intuition. We think that because financial literacy education is different from general education. Ordinary education mainly emphasizes the popularization and popularization of knowledge, while financial literacy education should be a kind of targeted specialized education. This conclusion supports the conclusion of the majority of the current literature.

The regression model may suffer endogenous problems. Endogeneity mainly comes from two aspects. First, a reverse causal relationship exists between financial literacy and household entrepreneurial choice. The accumulation of entrepreneurial experience may also lead to improved financial literacy. Second, the respondents may guess the answers to financial questions, leading to inaccurate measurement of financial literacy. Following Bucher-Koenen and Lusardi ( 2011 ) and Jappelli and Padula ( 2013 ), we selected the highest educational level among parents as an instrumental variable. We chose this instrumental variable for two main reasons. First, the family is the first place where individuals acquire and learn knowledge after they are born. Generally speaking, the higher the education level of parents, the more emphasis they will put on the education of their children. Parents with a high level of education can better help their children develop study habits and guide their children to receive more and better education through precepts and deeds and subtle influences in the daily life of the family. This will allow them to know more about their computing power and knowledge of economics and finance and possibly have a higher level of financial literacy. Second, the educational level of parents is determined before their children start a business and is independent of the entrepreneurial decisions of their children’s families. This suggests that parents’ educational level is strictly exogenous relative to their children’s entrepreneurial decisions. Therefore, we think it is appropriate to use parental education level as an instrumental variable. The problem that cannot be ignored is that parents with higher education levels are more likely to provide more resources for their children to start a business through their relationship network. We address this issue by controlling the parental network in our model. The results show that both the correlation test and the exogenous test of the instrumental variable of parental education level have passed, which verifies the validity of the instrumental variable to a certain extent. The results in Columns (3) and (4) in Table 5 support our conclusion.

Columns (5)–(8) in Table 5 report the estimated results of the current effect of financial literacy on household initiative entrepreneurship ( \({{\rm {Entrepre}}}2\) ). The results in columns (5) and (6) of Table 5 show that the estimated coefficients of financial literacy are significant at the level of 10%, indicating that financial literacy can help raise the household’s motivation for entrepreneurship in the current period and promote the initiative in entrepreneurship. Columns (7) and (8) in Table 5 , The DWH test, first-stage estimated and instrumental variables show that financial literacy will help raise the household’s motivation for entrepreneurship in the current period and promote the initiative in entrepreneurship.

Table 6 reports the estimated results of the long-term effect of financial literacy on household entrepreneurial behavior. No matter what index is used to measure financial literacy, the estimated coefficient of financial literacy is statistically significantly positive, indicating that financial literacy is beneficial to increasing the probability of households participating in entrepreneurial activities and taking the initiative in entrepreneurship in the long term.

Table 7 reports the estimation results of the ordered \({{\rm {Probit}}}\) model to estimate the dynamic improvement effect of financial literacy on household entrepreneurial behavior. In Table 7 , columns (1) and (2) show that no matter what index is used to measure financial literacy, the estimated coefficient of financial literacy is statistically significantly positive. After controlling endogenous concerns, we can obtain consistent results in columns (3) and (4). Columns (5)–(8) in Table 7 , no matter what index is used to measure financial literacy, the estimated coefficient of financial literacy is statistically significantly positive. We find that the improvement of financial literacy level is helpful in promoting the development of household entrepreneurial decision-making and initiative in entrepreneurship.

The above empirical results suggest that improving financial literacy levels may significantly promote family participation in entrepreneurial activities and household initiative in entrepreneurship. This conclusion is consistent with the conclusion of Xu et al. ( 2023 ), indicating that financial literacy may have current, long-term, and dynamic effects on some financial behaviors. This effect has the characteristics of current, long-term, and dynamic improvement. This study provides a reasonable explanation for the findings that financial literacy adds to entrepreneurs’ understanding of business activities and market dynamics, enabling them to discover entrepreneurial opportunities better.

Robustness checks

We conduct the robustness checks by replacing the proxy index of financial literacy. We construct three dummy variables, namely, \({{\rm {Dum}}}1\) , \({{\rm {Dum}}}3\) , and \({{\rm {Dum}}}\) 5. We use these three dummy variables to replace the explanatory variable \({{\rm {Entrepre}}}1\) or \({{\rm {Entrepre}}}2\) in the model (1) and model (2). \({{\rm {Dum}}}1\) means the answers the interest rate calculation question correctly, \({{\rm {Dum}}}2\) means the answers the inflation question correctly, \({{\rm {Dum}}}3\) means the answers the inflation question correctly. Table 8 reports the corresponding estimated results. The estimated coefficients of \({{\rm {Dum}}}1\) and \({{\rm {Dum}}}3\) are not significant. However, no matter what index is used to measure financial literacy, the estimated coefficient of \({{\rm {Dum}}}5\) is statistically significantly positive, indicating that venture capital literacy can significantly improve household entrepreneurial activities and motivation to initiate entrepreneurship.

In addition, we use respondents’ attention to economic and financial information to measure it denoted as \({Attention}\) . We use \({attention}\) to replace the explanatory variable \({Literacy}1\) or \({Literacy}2\) in the model (1) and model (2). Table 9 results show that the estimated coefficient of \({Attention}\) is statistically significantly positive. It shows that attention to financial and economic information can significantly improve household entrepreneurial activity and motivation to initiate entrepreneurship, which also indicates that the influence of financial literacy is robust.

Heterogeneity analysis

Urban–rural differences.

Significant differences exist between urban and rural areas in China’s economic environment, and household entrepreneurship behavior may show varying tendencies in different environments. Therefore, the effect of financial literacy on household entrepreneurship may have urban–rural heterogeneity. Table 10 reports the estimated results. Combining the size of the explanatory variable coefficient and the test results of inter-group coefficient difference, we find that the effect of financial literacy on households’ participation in entrepreneurial activities is more pronounced for households in urban areas. However, the effect of financial literacy on the initiative in entrepreneurship is more pronounced for households in rural areas.

Regarding the findings, this study provides a reasonable explanation. Compared with rural areas, urban areas have higher economic and financial development. Highly skilled personnel are also more abundant in urban areas, which leads to more opportunities for entrepreneurship. Therefore, the relationship between financial literacy and the possibility of households’ participating in entrepreneurial activities is stronger for households in urban areas. The level of income and financial development in rural areas is low, and the degree of financing constraints on households is severe. Compared with urban households who have already participated in entrepreneurial activities, rural households who have already participated in entrepreneurial activities are more eager to quickly realize “being your own boss,” “earning more,” and “being flexible and free” through initiative in entrepreneurship.

Gender differences

Gender differences in financial literacy are common in many countries (Hung et al., 2009 ). Lusardi and Mitchell ( 2014 ) found that in the United States, 38.3% of men can correctly answer three financial questions, but only 22.5% of women can. Only in their old age can women have financial investment motivation and a strong interest in household financial management (Tran et al., 2019 ). Table 11 reports the estimated results. Combining the size of explanatory variable coefficient and the test results of inter group coefficient difference, we find that the effect of financial literacy on household participation in entrepreneurial activities is more pronounced in the male sample and the effect of financial literacy on the household initiative in entrepreneurship is more pronounced in the female sample.

This study provides a reasonable explanation for the findings. Compared with women, men tend to be more confident in their economic decision-making abilities and have a stronger interest in family financial management, hoping to realize self-worth through entrepreneurship. Therefore, financial literacy has a stronger effect on men’s participation in entrepreneurial activities. Compared with men who have made entrepreneurial choices, women are more eager to realize personal financial freedom in entrepreneurship. Therefore, financial literacy has a stronger effect on women’s initiative in entrepreneurship.

Potential mechanism analysis

Income channels.

On the one hand, the income gap or expansion of income levels has changed people’s relative status, intensified “relative exploitation” and social differentiation, and affected people’s “material craving” and jealousy, thereby helping to stimulate the enthusiasm of middle- and low-income groups to start a business (Mensah and Benedict, 2010 ). On the other hand, the most important thing at the beginning of entrepreneurship is the initial capital for family entrepreneurship, and the increase in family income provides initial capital for family entrepreneurship, thereby promoting family entrepreneurial activities (Evans and Jovanovic, 1989 ). To this end, this study explores whether financial literacy will affect household entrepreneurial activities through the channel of increasing household income and income level. This study estimates the following regression model to prove the income channel that financial literacy may increase household income and income rank:

where \({{{\rm {Income}}}}_{i}\) refers to the natural logarithm of the total household income. \(\,{{{\rm {Rank}}}}_{i}=1\) represents a high-income household. \({X1}_{i}\) and \({X2}_{i}\) represent control variables in 2015, including \({{\rm {gender}}}\) , \({{\rm {Age}}}\) , \({{{\rm {Age}}}}^{2}\) , \({{\rm {Health}}}\) , \({{\rm {Marriage}}}\) , \({{\rm {Education}}}\) , \({{\rm {RL}}}\) , \({{\rm {RN}}}\) , \({{\rm {RA}}}\) , \({{\rm {CPC}}}\) , \({{\rm {FS}}}\) , \({{\rm {Assets}}}\) , \({{\rm {NE}}}\) , \({{\rm {NC}}}\) , \({{\rm {House}}}\) , and \({{\rm {NU}}}\) . Other designs are consistent with the benchmark model ( 1 ). If \({\omega }_{1}\) and \({\omega }_{2}\) are significantly positive, then we can conclude that financial literacy may increase household income and income rank.

We use CHFS 2015 data to conduct empirical research to prove that financial literacy can increase household income and promote entrepreneurial activities. This study uses two indicators of total household income ( \({{\rm {Income}}}\) ) and income level ( \({{\rm {Rank}}}\) ) as household income variables. The total family income is a total indicator of income, and the income level is a relative indicator that reflects the relative level of family income. We divide the income level into two levels according to the total income of the sample. The top 50% of the total income level is defined as the high-income class, and the bottom 50% is defined as the low-income family. The endogenous problems found in the regression model are solved by the instrumental variable method. The estimation results are shown in Table 12 . It shows that the estimated coefficients for \({{\rm {Literacy}}}1\) and \({{\rm {Literacy}}}2\) are significantly positive, which indicates that income channels are possible. The regression model may suffer endogenous problems. Following Bucher-Koenen and Lusardi ( 2011 ) and Jappelli and Padula ( 2013 ), we select the highest educational level among parents as an instrumental variable. Columns (5)–(8) in Table 12 show that the estimated coefficients of financial literacy are significantly above 1%, which indicates that income channels are possible.

Social network channels

In China, the family social network is mainly based on blood and geography. One of the important means of communication and relationship between relatives and friends is to give gifts to one another during the Spring Festival and other holidays and weddings and funerals. We use CHFS 2015 data for empirical research and select the family’s cash and non-cash expenditures ( \({{\rm {Expenditure}}}\) ), income ( \({{\rm {Revenue}}}\) ), and total income and expenditure ( \({{\rm {Sum}}}\) ) during the Spring Festival and other holidays and weddings and funerals as the proxy variables for the social network. The endogenous problems found in the regression model are solved using the two-stage instrumental variable method. This study strives to prove the social network channel that financial literacy promotes families’ cash and non-cash expenditures, revenue, and total revenue and expenditure during holidays such as the Spring Festival and weddings and funerals. Our model is as following:

where \({{SN}}_{i}\) is \({{Expenditure}}_{i}\) , \({{revenue}}_{i}\) , or \({{Sum}}_{i}\) refer to the social network. \({{Expenditure}}_{i}\) represents the total cash and non-cash expenditures of the family during holidays such as the Spring Festival and weddings and funerals. \({{Revenue}}_{i}\) represents the total cash and non-cash revenue of the family. \({{Sum}}_{i}\) represents the total cash and non-cash expenditures and revenue of the family. \({X3}_{i}\) represents control variables in 2015, including \({gender}\) , \({Age}\) , \({{Age}}^{2}\) , \({Health}\) , \({Marriage}\) , \({Education}\) , \({RL}\) , \({RN}\) , \({RA}\) , \({CPC}\) , \({FS}\) , \({Assets}\) , \({NE}\) , \({NC}\) , \({House}\) , and \({NU}\) . Other designs are consistent with model (1). If \({\psi }_{1}\) is significantly positive, then we can conclude that financial literacy may expand social network.

The estimated results are shown in Table 13 . Following Bucher-Koenen and Lusardi ( 2011 ) and Jappelli and Padula ( 2013 ), we selected the highest educational level among parents as an instrumental variable. As can be seen from columns (1)–(6) in Panel A, \({Literacy}1\) and \({Literacy}2\) are both significantly positive at the 1% level. From columns (1)–(6) in Panel B, after controlling for endogenous factors, \({Literacy}1\) and \({Literacy}2\) are both statistically significantly positive at the 1% level. These results imply that social network channels are possible and reliable.

Risk attitude channels

We use CHFS 2015 data to conduct empirical research to prove that financial literacy can improve household risk attitudes and promote family entrepreneurial activities. We measure risk attitudes in multiple dimensions. First, we construct a comprehensive index of risk attitude. Risk preference ( \({{\rm {RL}}}\) ), risk neutrality ( \({{\rm {RN}}}\) ), and risk aversion ( \({{\rm {RA}}}\) ) are assigned values of 3, 2, and 1, respectively, to examine the effect of financial literacy on risk attitudes. Then, we divide risk attitudes into risk preference ( \({{\rm {RL}}}\) ), risk aversion ( \({{\rm {RA}}}\) ), and risk neutrality ( \({{\rm {RN}}}\) ) and generate dummy variables to examine the effect of financial literacy on these three types. Similarly, considering that there may be endogenous problems in the regression model, we use the instrumental variable method to solve the problem. This study strives to prove the risk attitude channel that financial literacy promotes risk attitude:

where \({{{\rm {Risk}}\_{\rm {attitude}}}}_{i}\) is \({{{\rm {RL}}}}_{i}\) , \({{{\rm {RN}}}}_{i,}\) or \({{{\rm {RA}}}}_{i}\) in model ( 8 ), and \({{{\rm {Risk}}}}_{i}\) is \({{\rm {Risk}}}\) in model ( 9 ). Risk preference ( \({{\rm {RL}}}\) ), risk aversion ( \({{\rm {RA}}}\) ), and risk neutrality ( \({{\rm {RN}}}\) ) are generated as dummy variables to examine the effect of financial literacy on the three types of risk attitudes. \({{{\rm {Risk}}}}_{i}\) is a comprehensive indicator of risk attitude. We assign the values of 3, 2, and 1 to respondents’ risk preference, risk neutrality, and risk aversion, respectively, and examine the effect of financial literacy on risk attitudes. \({X4}_{i}\) represents control variables in 2015, including \({{\rm {gender}}}\) , \({{\rm {Age}}}\) , \({{{\rm {Age}}}}^{2}\) , \({{\rm {Health}}}\) , \({{\rm {Marriage}}}\) , \({{\rm {Education}}}\) , \({{\rm {CPC}}}\) , \({{\rm {FS}}}\) , \({{\rm {Assets}}}\) , \({{\rm {NE}}}\) , \({{\rm {NC}}}\) , \({{\rm {House}}}\) , and \({{\rm {NU}}}\) . Other designs are consistent with the benchmark model ( 1 ). If \({\omega }_{3}\) and \({\sigma }_{1}\) are significantly positive, then we can conclude that financial literacy may improve risk attitude.

The estimation results are shown in Table 14 . Columns (1)–(8) in Panel A demonstrate that the marginal effect of financial literacy on risk appetite and risk neutrality is positive, while the marginal effect on risk aversion is significantly negative. This indicates that enhancing financial literacy has led to an increase in residents’ willingness to take risks and a reduction in their aversion to risk. Additionally, the positive marginal effect of financial literacy on risk attitudes further underscores its role in improving residents’ overall risk perception. Following Bucher-Koenen and Lusardi ( 2011 ) and Jappelli and Padula ( 2013 ), we selected the highest educational level among parents as an instrumental variable. The estimation results in columns (1)–(8) of Panel B indicate that after solving the endogenous problem, the estimated coefficients or marginal effect coefficients of \({{\rm {Literacy}}}1\) and \({{\rm {Literacy}}}2\) are significantly positive at the level of 5% and above. The above results confirm the rationality of the empirical evidence that financial literacy promotes family entrepreneurial behavior by improving residents’ risk attitudes.

Further analysis: the role of financial education

The aforementioned findings substantiate the significant impact of financial literacy on family entrepreneurial behavior, thereby underscoring the importance of delving deeper into strategies aimed at enhancing residents’ financial literacy within the context of family entrepreneurship. According to Lusardi and Mitchell ( 2011 ), implementing financial education programs emerges as the most effective means to bolster residents’ financial literacy. Can financial education truly serve as a catalyst for elevating residents’ financial literacy? Furthermore, can it effectively amplify the influence of financial literacy on residents’ entrepreneurial endeavors? Investigating the intricate interplay between financial literacy, financial education, and familial entrepreneurial conduct is paramount.

In initial exploration, it becomes imperative to scrutinize the correlation between financial education and the level of financial literacy. To operationalize financial education, a binary variable is constructed, wherein a value of 1 denotes participation in coursework related to economics or finance, while a value of 0 indicates otherwise. Subsequently, the variables Literacy1 or Literacy2 are introduced to replace the interpreted variable, and the variable Learn stands in place of the interpreted variable. The control variables adhere to the framework outlined in Model (1). The estimated outcomes are presented in Table 15 . Regardless of the method employed to measure financial literacy, the estimated coefficient of financial education ( Learn ) consistently demonstrates a statistically significant positive impact at the 1% significance level, suggesting that engagement in financial education initiatives can indeed enhance residents’ financial literacy levels. Additionally, three PSM methodologies are employed to scrutinize the influence of financial education on financial literacy. The estimated results, as detailed in Table 16 , consistently reveal positive and statistically significant ATT values, thereby affirming the robustness of the aforementioned findings. These robustness checks further underscore the foundational assertion, highlighting the pivotal role of financial education in enriching family financial literacy.

Moving forward, our investigation extends to assessing whether financial education can effectively augment the influence of financial literacy on family entrepreneurial behavior. To address this inquiry, we construct an interaction term, denoted as Literacy × Learn, which captures the combined impact of financial education and financial literacy. This interaction term is incorporated into the analysis. Table 17 presents the estimated results. Irrespective of the method employed to measure financial literacy, the estimated coefficient of Literacy × Learn consistently displays a statistically significant positive association. This signifies that financial education effectively amplifies the impact of financial literacy on family entrepreneurial behavior.

An intriguing discovery emerges from our analysis: the estimated marginal effect coefficient for the interaction terms of Literacy1 × Learn or Literacy2 × Learn is notably positive, surpassing the coefficient of financial literacy alone. This observation suggests a close relationship between the impact of financial literacy on entrepreneurial behavior and individuals’ exposure to financial education. Consequently, our study substantiates that financial education serves as a moderating variable in shaping the influence of financial literacy on residents’ entrepreneurial behavior, effectively augmenting its impact. In practical terms, nationwide financial education initiatives and inclusive activities led by the People’s Bank of China, in collaboration with other financial institutions, have yielded noteworthy results over time. However, the current lack of enthusiasm and initiative among residents toward learning may hinder their engagement with financial education programs. Yet, with the proliferation of financial education efforts, this apathy is expected to wane, paving the way for increased attention and participation in financial education and training endeavors.

Theoretical implications

Our study draws upon human capital theory and modern entrepreneurship theory to empirically analyze the present, long-term, and evolving effects of financial literacy on household entrepreneurial behaviors, utilizing data from the CHFS in 2015 and 2017. The findings reveal that financial literacy exerts immediate, persistent, and evolving positive effects on households’ engagement in entrepreneurial activities and their propensity towards entrepreneurship. Addressing the endogeneity of the regression model, the results from the two-stage regression analysis corroborate the primary regression findings. Heterogeneity analysis highlights significant disparities between urban and rural areas as well as gender differences in how financial literacy influences household entrepreneurial behavior. Moreover, this study validates three potential mechanisms: income, social network, and risk attitude channels. We observe that financial literacy significantly enhances household income, broadens social networks, and fosters improved risk attitudes. Furthermore, our analysis indicates that financial education reinforces the impact of financial literacy on entrepreneurial behavior. These research findings carry significant theoretical implications, enriching both human capital theory and modern entrepreneurship theory.

Practical implications

This research carries significant implications for policymakers and stakeholders alike. Firstly, governments should recognize the pivotal role of financial literacy and embark on comprehensive initiatives to promote it through various channels, including television programs, radio broadcasts, informational brochures, training sessions, and specialized lectures. Establishing a sustained mechanism for the dissemination of financial literacy is crucial for enhancing the financial acumen of our nation’s populace. Secondly, special emphasis should be placed on promoting financial literacy in rural areas and among women. Collaborative efforts with financial institutions can facilitate targeted and tailored financial education projects aimed at these demographics, thereby fostering inclusivity and empowerment. By addressing the disparities in financial literacy, governments can pave the way for more equitable access to financial resources and opportunities. Thirdly, governments should actively promote financial education activities, including entrepreneurship training programs. These initiatives can mitigate the inhibitory effects of low financial literacy on entrepreneurial pursuits and enhance the management capabilities of entrepreneurs. By equipping individuals with the necessary skills and knowledge, such programs contribute to the resilience and dynamism of China’s financial market and stimulate growth in the employment landscape. In conclusion, concerted efforts to promote financial literacy and education are essential for advancing economic prosperity, fostering entrepreneurship, and ensuring inclusive development. By prioritizing these initiatives, policymakers can lay the foundation for a more resilient and prosperous future for China’s economy and society.

Future research and limitations

While our study has yielded significant insights, there are several avenues that merit further exploration in future research endeavors. Firstly, the complex relationship between cultural diversity and entrepreneurial behavior warrants deeper investigation. Unfortunately, due to the lack of detailed data on cultural diversity at the market segment level, this aspect remains largely unexplored in our study. Future research could delve into this aspect to better understand how cultural factors influence entrepreneurial decisions. Secondly, our analysis is constrained by the utilization of cross-sectional data from 2015 and 2017. Access to longitudinal data covering a broader timeframe could provide more nuanced insights and facilitate stronger conclusions. Therefore, future studies could benefit from employing larger datasets and extended panel data to comprehensively analyze the dynamics of the relationship between financial literacy and entrepreneurial behavior over time. Thirdly, the simplicity of the questionnaire used in our study may limit the depth of understanding regarding residents’ entrepreneurial behavior. Future research could address this limitation by employing more sophisticated questionnaires developed through an interdisciplinary approach, incorporating insights from psychology and other relevant fields. This holistic approach may offer a more nuanced understanding of residents’ entrepreneurial behavior, thereby enhancing the validity and reliability of the findings.

Furthermore, with the advent of the digital age, integrating elements of digitization or digital technology into academic research has become imperative. In our future research endeavors, we aim to expand our focus in several key areas. Firstly, we will explore the determinants of digital entrepreneurial behavior, examining how digital technologies influence entrepreneurial decisions and strategies. Secondly, we will emphasize the importance of digital financial literacy in shaping entrepreneurial behavior, considering how individuals’ proficiency in digital financial tools and platforms impacts their entrepreneurial activities. Lastly, we will endeavor to leverage digital technology to enhance causal identification in empirical analysis, employing innovative methodologies to better understand the mechanisms underlying the relationship between financial literacy and entrepreneurial behavior in the digital era.

Data availability

The datasets generated during and/or analyzed during the current study are available in the Harvard Dataverse repository: https://doi.org/10.7910/DVN/NRZ1K1 .

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We thank the support provided by the STU Scientific Research Initiation Grant [Grant No. STF24004T] and the National Natural Science Foundation of China [Grant No. 72203047].

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Xu, S., Jiang, K. Knowledge creates value: the role of financial literacy in entrepreneurial behavior. Humanit Soc Sci Commun 11 , 679 (2024). https://doi.org/10.1057/s41599-024-03201-3

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Organizing Your Social Sciences Research Paper

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A literature review surveys prior research published in books, scholarly articles, and any other sources relevant to a particular issue, area of research, or theory, and by so doing, provides a description, summary, and critical evaluation of these works in relation to the research problem being investigated. Literature reviews are designed to provide an overview of sources you have used in researching a particular topic and to demonstrate to your readers how your research fits within existing scholarship about the topic.

Fink, Arlene. Conducting Research Literature Reviews: From the Internet to Paper . Fourth edition. Thousand Oaks, CA: SAGE, 2014.

Importance of a Good Literature Review

A literature review may consist of simply a summary of key sources, but in the social sciences, a literature review usually has an organizational pattern and combines both summary and synthesis, often within specific conceptual categories . A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information in a way that informs how you are planning to investigate a research problem. The analytical features of a literature review might:

Give a new interpretation of old material or combine new with old interpretations,
Trace the intellectual progression of the field, including major debates,
Depending on the situation, evaluate the sources and advise the reader on the most pertinent or relevant research, or
Usually in the conclusion of a literature review, identify where gaps exist in how a problem has been researched to date.

Given this, the purpose of a literature review is to:

Place each work in the context of its contribution to understanding the research problem being studied.
Describe the relationship of each work to the others under consideration.
Identify new ways to interpret prior research.
Reveal any gaps that exist in the literature.
Resolve conflicts amongst seemingly contradictory previous studies.
Identify areas of prior scholarship to prevent duplication of effort.
Point the way in fulfilling a need for additional research.
Locate your own research within the context of existing literature [very important].

Fink, Arlene. Conducting Research Literature Reviews: From the Internet to Paper. 2nd ed. Thousand Oaks, CA: Sage, 2005; Hart, Chris. Doing a Literature Review: Releasing the Social Science Research Imagination . Thousand Oaks, CA: Sage Publications, 1998; Jesson, Jill. Doing Your Literature Review: Traditional and Systematic Techniques . Los Angeles, CA: SAGE, 2011; Knopf, Jeffrey W. "Doing a Literature Review." PS: Political Science and Politics 39 (January 2006): 127-132; Ridley, Diana. The Literature Review: A Step-by-Step Guide for Students . 2nd ed. Los Angeles, CA: SAGE, 2012.

Types of Literature Reviews

It is important to think of knowledge in a given field as consisting of three layers. First, there are the primary studies that researchers conduct and publish. Second are the reviews of those studies that summarize and offer new interpretations built from and often extending beyond the primary studies. Third, there are the perceptions, conclusions, opinion, and interpretations that are shared informally among scholars that become part of the body of epistemological traditions within the field.

In composing a literature review, it is important to note that it is often this third layer of knowledge that is cited as "true" even though it often has only a loose relationship to the primary studies and secondary literature reviews. Given this, while literature reviews are designed to provide an overview and synthesis of pertinent sources you have explored, there are a number of approaches you could adopt depending upon the type of analysis underpinning your study.

Argumentative Review This form examines literature selectively in order to support or refute an argument, deeply embedded assumption, or philosophical problem already established in the literature. The purpose is to develop a body of literature that establishes a contrarian viewpoint. Given the value-laden nature of some social science research [e.g., educational reform; immigration control], argumentative approaches to analyzing the literature can be a legitimate and important form of discourse. However, note that they can also introduce problems of bias when they are used to make summary claims of the sort found in systematic reviews [see below].

Integrative Review Considered a form of research that reviews, critiques, and synthesizes representative literature on a topic in an integrated way such that new frameworks and perspectives on the topic are generated. The body of literature includes all studies that address related or identical hypotheses or research problems. A well-done integrative review meets the same standards as primary research in regard to clarity, rigor, and replication. This is the most common form of review in the social sciences.

Historical Review Few things rest in isolation from historical precedent. Historical literature reviews focus on examining research throughout a period of time, often starting with the first time an issue, concept, theory, phenomena emerged in the literature, then tracing its evolution within the scholarship of a discipline. The purpose is to place research in a historical context to show familiarity with state-of-the-art developments and to identify the likely directions for future research.

Methodological Review A review does not always focus on what someone said [findings], but how they came about saying what they say [method of analysis]. Reviewing methods of analysis provides a framework of understanding at different levels [i.e. those of theory, substantive fields, research approaches, and data collection and analysis techniques], how researchers draw upon a wide variety of knowledge ranging from the conceptual level to practical documents for use in fieldwork in the areas of ontological and epistemological consideration, quantitative and qualitative integration, sampling, interviewing, data collection, and data analysis. This approach helps highlight ethical issues which you should be aware of and consider as you go through your own study.

Systematic Review This form consists of an overview of existing evidence pertinent to a clearly formulated research question, which uses pre-specified and standardized methods to identify and critically appraise relevant research, and to collect, report, and analyze data from the studies that are included in the review. The goal is to deliberately document, critically evaluate, and summarize scientifically all of the research about a clearly defined research problem . Typically it focuses on a very specific empirical question, often posed in a cause-and-effect form, such as "To what extent does A contribute to B?" This type of literature review is primarily applied to examining prior research studies in clinical medicine and allied health fields, but it is increasingly being used in the social sciences.

Theoretical Review The purpose of this form is to examine the corpus of theory that has accumulated in regard to an issue, concept, theory, phenomena. The theoretical literature review helps to establish what theories already exist, the relationships between them, to what degree the existing theories have been investigated, and to develop new hypotheses to be tested. Often this form is used to help establish a lack of appropriate theories or reveal that current theories are inadequate for explaining new or emerging research problems. The unit of analysis can focus on a theoretical concept or a whole theory or framework.

NOTE: Most often the literature review will incorporate some combination of types. For example, a review that examines literature supporting or refuting an argument, assumption, or philosophical problem related to the research problem will also need to include writing supported by sources that establish the history of these arguments in the literature.

Baumeister, Roy F. and Mark R. Leary. "Writing Narrative Literature Reviews." Review of General Psychology 1 (September 1997): 311-320; Mark R. Fink, Arlene. Conducting Research Literature Reviews: From the Internet to Paper . 2nd ed. Thousand Oaks, CA: Sage, 2005; Hart, Chris. Doing a Literature Review: Releasing the Social Science Research Imagination . Thousand Oaks, CA: Sage Publications, 1998; Kennedy, Mary M. "Defining a Literature." Educational Researcher 36 (April 2007): 139-147; Petticrew, Mark and Helen Roberts. Systematic Reviews in the Social Sciences: A Practical Guide . Malden, MA: Blackwell Publishers, 2006; Torracro, Richard. "Writing Integrative Literature Reviews: Guidelines and Examples." Human Resource Development Review 4 (September 2005): 356-367; Rocco, Tonette S. and Maria S. Plakhotnik. "Literature Reviews, Conceptual Frameworks, and Theoretical Frameworks: Terms, Functions, and Distinctions." Human Ressource Development Review 8 (March 2008): 120-130; Sutton, Anthea. Systematic Approaches to a Successful Literature Review . Los Angeles, CA: Sage Publications, 2016.

Structure and Writing Style

I. Thinking About Your Literature Review

The structure of a literature review should include the following in support of understanding the research problem :

An overview of the subject, issue, or theory under consideration, along with the objectives of the literature review,
Division of works under review into themes or categories [e.g. works that support a particular position, those against, and those offering alternative approaches entirely],
An explanation of how each work is similar to and how it varies from the others,
Conclusions as to which pieces are best considered in their argument, are most convincing of their opinions, and make the greatest contribution to the understanding and development of their area of research.

The critical evaluation of each work should consider :

Provenance -- what are the author's credentials? Are the author's arguments supported by evidence [e.g. primary historical material, case studies, narratives, statistics, recent scientific findings]?
Methodology -- were the techniques used to identify, gather, and analyze the data appropriate to addressing the research problem? Was the sample size appropriate? Were the results effectively interpreted and reported?
Objectivity -- is the author's perspective even-handed or prejudicial? Is contrary data considered or is certain pertinent information ignored to prove the author's point?
Persuasiveness -- which of the author's theses are most convincing or least convincing?
Validity -- are the author's arguments and conclusions convincing? Does the work ultimately contribute in any significant way to an understanding of the subject?

II. Development of the Literature Review

Four Basic Stages of Writing 1. Problem formulation -- which topic or field is being examined and what are its component issues? 2. Literature search -- finding materials relevant to the subject being explored. 3. Data evaluation -- determining which literature makes a significant contribution to the understanding of the topic. 4. Analysis and interpretation -- discussing the findings and conclusions of pertinent literature.

Consider the following issues before writing the literature review: Clarify If your assignment is not specific about what form your literature review should take, seek clarification from your professor by asking these questions: 1. Roughly how many sources would be appropriate to include? 2. What types of sources should I review (books, journal articles, websites; scholarly versus popular sources)? 3. Should I summarize, synthesize, or critique sources by discussing a common theme or issue? 4. Should I evaluate the sources in any way beyond evaluating how they relate to understanding the research problem? 5. Should I provide subheadings and other background information, such as definitions and/or a history? Find Models Use the exercise of reviewing the literature to examine how authors in your discipline or area of interest have composed their literature review sections. Read them to get a sense of the types of themes you might want to look for in your own research or to identify ways to organize your final review. The bibliography or reference section of sources you've already read, such as required readings in the course syllabus, are also excellent entry points into your own research. Narrow the Topic The narrower your topic, the easier it will be to limit the number of sources you need to read in order to obtain a good survey of relevant resources. Your professor will probably not expect you to read everything that's available about the topic, but you'll make the act of reviewing easier if you first limit scope of the research problem. A good strategy is to begin by searching the USC Libraries Catalog for recent books about the topic and review the table of contents for chapters that focuses on specific issues. You can also review the indexes of books to find references to specific issues that can serve as the focus of your research. For example, a book surveying the history of the Israeli-Palestinian conflict may include a chapter on the role Egypt has played in mediating the conflict, or look in the index for the pages where Egypt is mentioned in the text. Consider Whether Your Sources are Current Some disciplines require that you use information that is as current as possible. This is particularly true in disciplines in medicine and the sciences where research conducted becomes obsolete very quickly as new discoveries are made. However, when writing a review in the social sciences, a survey of the history of the literature may be required. In other words, a complete understanding the research problem requires you to deliberately examine how knowledge and perspectives have changed over time. Sort through other current bibliographies or literature reviews in the field to get a sense of what your discipline expects. You can also use this method to explore what is considered by scholars to be a "hot topic" and what is not.

III. Ways to Organize Your Literature Review

Chronology of Events If your review follows the chronological method, you could write about the materials according to when they were published. This approach should only be followed if a clear path of research building on previous research can be identified and that these trends follow a clear chronological order of development. For example, a literature review that focuses on continuing research about the emergence of German economic power after the fall of the Soviet Union. By Publication Order your sources by publication chronology, then, only if the order demonstrates a more important trend. For instance, you could order a review of literature on environmental studies of brown fields if the progression revealed, for example, a change in the soil collection practices of the researchers who wrote and/or conducted the studies. Thematic [“conceptual categories”] A thematic literature review is the most common approach to summarizing prior research in the social and behavioral sciences. Thematic reviews are organized around a topic or issue, rather than the progression of time, although the progression of time may still be incorporated into a thematic review. For example, a review of the Internet’s impact on American presidential politics could focus on the development of online political satire. While the study focuses on one topic, the Internet’s impact on American presidential politics, it would still be organized chronologically reflecting technological developments in media. The difference in this example between a "chronological" and a "thematic" approach is what is emphasized the most: themes related to the role of the Internet in presidential politics. Note that more authentic thematic reviews tend to break away from chronological order. A review organized in this manner would shift between time periods within each section according to the point being made. Methodological A methodological approach focuses on the methods utilized by the researcher. For the Internet in American presidential politics project, one methodological approach would be to look at cultural differences between the portrayal of American presidents on American, British, and French websites. Or the review might focus on the fundraising impact of the Internet on a particular political party. A methodological scope will influence either the types of documents in the review or the way in which these documents are discussed.

Other Sections of Your Literature Review Once you've decided on the organizational method for your literature review, the sections you need to include in the paper should be easy to figure out because they arise from your organizational strategy. In other words, a chronological review would have subsections for each vital time period; a thematic review would have subtopics based upon factors that relate to the theme or issue. However, sometimes you may need to add additional sections that are necessary for your study, but do not fit in the organizational strategy of the body. What other sections you include in the body is up to you. However, only include what is necessary for the reader to locate your study within the larger scholarship about the research problem.

Here are examples of other sections, usually in the form of a single paragraph, you may need to include depending on the type of review you write:

Current Situation : Information necessary to understand the current topic or focus of the literature review.
Sources Used : Describes the methods and resources [e.g., databases] you used to identify the literature you reviewed.
History : The chronological progression of the field, the research literature, or an idea that is necessary to understand the literature review, if the body of the literature review is not already a chronology.
Selection Methods : Criteria you used to select (and perhaps exclude) sources in your literature review. For instance, you might explain that your review includes only peer-reviewed [i.e., scholarly] sources.
Standards : Description of the way in which you present your information.
Questions for Further Research : What questions about the field has the review sparked? How will you further your research as a result of the review?

IV. Writing Your Literature Review

Once you've settled on how to organize your literature review, you're ready to write each section. When writing your review, keep in mind these issues.

Use Evidence A literature review section is, in this sense, just like any other academic research paper. Your interpretation of the available sources must be backed up with evidence [citations] that demonstrates that what you are saying is valid. Be Selective Select only the most important points in each source to highlight in the review. The type of information you choose to mention should relate directly to the research problem, whether it is thematic, methodological, or chronological. Related items that provide additional information, but that are not key to understanding the research problem, can be included in a list of further readings . Use Quotes Sparingly Some short quotes are appropriate if you want to emphasize a point, or if what an author stated cannot be easily paraphrased. Sometimes you may need to quote certain terminology that was coined by the author, is not common knowledge, or taken directly from the study. Do not use extensive quotes as a substitute for using your own words in reviewing the literature. Summarize and Synthesize Remember to summarize and synthesize your sources within each thematic paragraph as well as throughout the review. Recapitulate important features of a research study, but then synthesize it by rephrasing the study's significance and relating it to your own work and the work of others. Keep Your Own Voice While the literature review presents others' ideas, your voice [the writer's] should remain front and center. For example, weave references to other sources into what you are writing but maintain your own voice by starting and ending the paragraph with your own ideas and wording. Use Caution When Paraphrasing When paraphrasing a source that is not your own, be sure to represent the author's information or opinions accurately and in your own words. Even when paraphrasing an author’s work, you still must provide a citation to that work.

V. Common Mistakes to Avoid

These are the most common mistakes made in reviewing social science research literature.

Sources in your literature review do not clearly relate to the research problem;
You do not take sufficient time to define and identify the most relevant sources to use in the literature review related to the research problem;
Relies exclusively on secondary analytical sources rather than including relevant primary research studies or data;
Uncritically accepts another researcher's findings and interpretations as valid, rather than examining critically all aspects of the research design and analysis;
Does not describe the search procedures that were used in identifying the literature to review;
Reports isolated statistical results rather than synthesizing them in chi-squared or meta-analytic methods; and,
Only includes research that validates assumptions and does not consider contrary findings and alternative interpretations found in the literature.

Cook, Kathleen E. and Elise Murowchick. “Do Literature Review Skills Transfer from One Course to Another?” Psychology Learning and Teaching 13 (March 2014): 3-11; Fink, Arlene. Conducting Research Literature Reviews: From the Internet to Paper . 2nd ed. Thousand Oaks, CA: Sage, 2005; Hart, Chris. Doing a Literature Review: Releasing the Social Science Research Imagination . Thousand Oaks, CA: Sage Publications, 1998; Jesson, Jill. Doing Your Literature Review: Traditional and Systematic Techniques . London: SAGE, 2011; Literature Review Handout. Online Writing Center. Liberty University; Literature Reviews. The Writing Center. University of North Carolina; Onwuegbuzie, Anthony J. and Rebecca Frels. Seven Steps to a Comprehensive Literature Review: A Multimodal and Cultural Approach . Los Angeles, CA: SAGE, 2016; Ridley, Diana. The Literature Review: A Step-by-Step Guide for Students . 2nd ed. Los Angeles, CA: SAGE, 2012; Randolph, Justus J. “A Guide to Writing the Dissertation Literature Review." Practical Assessment, Research, and Evaluation. vol. 14, June 2009; Sutton, Anthea. Systematic Approaches to a Successful Literature Review . Los Angeles, CA: Sage Publications, 2016; Taylor, Dena. The Literature Review: A Few Tips On Conducting It. University College Writing Centre. University of Toronto; Writing a Literature Review. Academic Skills Centre. University of Canberra.

Writing Tip

Break Out of Your Disciplinary Box!

Thinking interdisciplinarily about a research problem can be a rewarding exercise in applying new ideas, theories, or concepts to an old problem. For example, what might cultural anthropologists say about the continuing conflict in the Middle East? In what ways might geographers view the need for better distribution of social service agencies in large cities than how social workers might study the issue? You don’t want to substitute a thorough review of core research literature in your discipline for studies conducted in other fields of study. However, particularly in the social sciences, thinking about research problems from multiple vectors is a key strategy for finding new solutions to a problem or gaining a new perspective. Consult with a librarian about identifying research databases in other disciplines; almost every field of study has at least one comprehensive database devoted to indexing its research literature.

Frodeman, Robert. The Oxford Handbook of Interdisciplinarity . New York: Oxford University Press, 2010.

Another Writing Tip

Don't Just Review for Content!

While conducting a review of the literature, maximize the time you devote to writing this part of your paper by thinking broadly about what you should be looking for and evaluating. Review not just what scholars are saying, but how are they saying it. Some questions to ask:

How are they organizing their ideas?
What methods have they used to study the problem?
What theories have been used to explain, predict, or understand their research problem?
What sources have they cited to support their conclusions?
How have they used non-textual elements [e.g., charts, graphs, figures, etc.] to illustrate key points?

When you begin to write your literature review section, you'll be glad you dug deeper into how the research was designed and constructed because it establishes a means for developing more substantial analysis and interpretation of the research problem.

Hart, Chris. Doing a Literature Review: Releasing the Social Science Research Imagination . Thousand Oaks, CA: Sage Publications, 1 998.

Yet Another Writing Tip

When Do I Know I Can Stop Looking and Move On?

Here are several strategies you can utilize to assess whether you've thoroughly reviewed the literature:

Look for repeating patterns in the research findings . If the same thing is being said, just by different people, then this likely demonstrates that the research problem has hit a conceptual dead end. At this point consider: Does your study extend current research? Does it forge a new path? Or, does is merely add more of the same thing being said?
Look at sources the authors cite to in their work . If you begin to see the same researchers cited again and again, then this is often an indication that no new ideas have been generated to address the research problem.
Search Google Scholar to identify who has subsequently cited leading scholars already identified in your literature review [see next sub-tab]. This is called citation tracking and there are a number of sources that can help you identify who has cited whom, particularly scholars from outside of your discipline. Here again, if the same authors are being cited again and again, this may indicate no new literature has been written on the topic.

Onwuegbuzie, Anthony J. and Rebecca Frels. Seven Steps to a Comprehensive Literature Review: A Multimodal and Cultural Approach . Los Angeles, CA: Sage, 2016; Sutton, Anthea. Systematic Approaches to a Successful Literature Review . Los Angeles, CA: Sage Publications, 2016.

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A literature review is the systematic written analysis of previously published research on a specific topic or subject. A literature review is not merely a summary of another scholar's articles or books. Instead, it provides a contextual analysis of the data, ideas, or theoretical concepts presented in the article, book, or other publication.
Organizing Your Social Sciences Research Paper
I. Groups of Research Methods. There are two main groups of research methods in the social sciences: The empirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences.This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured.
10 Research Question Examples to Guide your Research Project
The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.
Social Science Research Paper Examples
These example papers are to help you understanding how to write this type of written assignments in social studies. Social science is a category of academic disciplines concerned with society and the relationships among individuals within a society. The disciplines include, but are not limited to: anthropology, archaeology, communication ...
Understanding Social Science Research: an Overview
Abstract. Social science research is a method to uncover social happenings in human societies. Through social research, new knowled ge is derived to help societies progress and adapt to. change ...
Social Sciences Research Paper -Research Paper Examples- iRN
View sample social sciences research paper. Browse other research paper examples and check the list of history research paper topics for more inspiration. If you need a history research paper written according to all the academic standards, you can always turn to our experienced writers for help. This is how your paper can get an A!
Organizing Your Social Sciences Research Paper
The conclusion is intended to help the reader understand why your research should matter to them after they have finished reading the paper. A conclusion is not merely a summary of the main topics covered or a re-statement of your research problem, but a synthesis of key points derived from the findings of your study and, if applicable, where you recommend new areas for future research.
Understanding Naturalistic Observation in Research
Understanding Naturalistic Observation in Research. Naturalistic observation emerges as a method frequently employed in psychology and the social sciences. This methodology entails the observation of subjects in their native habitat devoid of any manipulation or intrusion by the investigator. The primary objective is to amass data on the ...
Writing a Case Study
For example, if the research problem is to identify strategies to improve policies that support girl's access to secondary education in predominantly Muslim nations, you could consider using Azerbaijan as a case study rather than selecting a more obvious nation in the Middle East. ... Note that a general social sciences research paper may ...
The double empathy problem: A derivation chain analysis and cautionary
Work on the "double empathy problem" (DEP) is rapidly growing in academic and applied settings (e.g., clinical practice). It is most popular in research on conditions, like autism, which are characterized by social cognitive difficulties. Drawing from this literature, we propose that, while research on the DEP has the potential to improve understanding of both typical and atypical social ...
Organizing Your Social Sciences Research Assignments
The purpose of a paper in the social sciences designed around a case study is to thoroughly investigate a subject of analysis in order to reveal a new understanding about the research problem and, in so doing, contributing new knowledge to what is already known from previous studies. In applied social sciences disciplines [e.g., education, social work, public administration, etc.], case ...
Knowledge creates value: the role of financial literacy in
Entrepreneurial activities play a crucial role in fostering labor market prosperity, achieving social equity, enhancing the flow of social capital, and sustaining the healthy and stable ...
Organizing Your Social Sciences Research Paper
A literature review may consist of simply a summary of key sources, but in the social sciences, a literature review usually has an organizational pattern and combines both summary and synthesis, often within specific conceptual categories.A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information in a way that ...

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