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The Top 3 Types of Dissertation Research Explained

Preparing for your doctoral dissertation takes serious perseverance. You’ve endured years of studies and professional development to get to this point. After sleepless nights and labor-intensive research, you’re ready to present the culmination of all of your hard work. Even with a strong base knowledge, it can be difficult — even daunting — to decide how you will begin writing.

By taking a wide-lens view of the dissertation research process , you can best assess the work you have ahead of you and any gaps in your current research strategy. Subsequently, you’ll begin to develop a timeline so you can work efficiently and cross that finish line with your degree in hand.

What Is a Dissertation?

A dissertation is a published piece of research on a novel topic in your chosen field. Students complete a dissertation as part of a doctoral or PhD program. For most students, a dissertation is the first substantive piece of academic research they will write. 

Because a dissertation becomes a published piece of academic literature that other academics may cite, students must defend it in front of a board of experts consisting of peers in their field, including professors, their advisor, and other industry experts. 

For many students, a dissertation is the first piece of research in a long career full of research. As such, it’s important to choose a topic that’s interesting and engaging.

Types of Dissertation Research

Dissertations can take on many forms, based on research and methods of presentation in front of a committee board of academics and experts in the field. Here, we’ll focus on the three main types of dissertation research to get you one step closer to earning your doctoral degree.

1. Qualitative

The first type of dissertation is known as a qualitative dissertation . A qualitative dissertation mirrors the qualitative research that a doctoral candidate would conduct throughout their studies. This type of research relies on non-numbers-based data collected through things like interviews, focus groups and participant observation. 

The decision to model your dissertation research according to the qualitative method will depend largely on the data itself that you are collecting. For example, dissertation research in the field of education or psychology may lend itself to a qualitative approach, depending on the essence of research. Within a qualitative dissertation research model, a candidate may pursue one or more of the following:

• Case study research
• Autoethnographies
• Narrative research 
• Grounded theory 

Although individual approaches may vary, qualitative dissertations usually include certain foundational characteristics. For example, the type of research conducted to develop a qualitative dissertation often follows an emergent design, meaning that the content and research strategy changes over time. Candidates also rely on research paradigms to further strategize how best to collect and relay their findings. These include critical theory, constructivism and interpretivism, to name a few. 

Because qualitative researchers integrate non-numerical data, their methods of collection often include unstructured interview, focus groups and participant observations. Of course, researchers still need rubrics from which to assess the quality of their findings, even though they won’t be numbers-based. To do so, they subject the data collected to the following criteria: dependability, transferability and validity. 

When it comes time to present their findings, doctoral candidates who produce qualitative dissertation research have several options. Some choose to include case studies, personal findings, narratives, observations and abstracts. Their presentation focuses on theoretical insights based on relevant data points. 

2. Quantitative

Quantitative dissertation research, on the other hand, focuses on the numbers. Candidates employ quantitative research methods to aggregate data that can be easily categorized and analyzed. In addition to traditional statistical analysis, quantitative research also hones specific research strategy based on the type of research questions. Quantitative candidates may also employ theory-driven research, replication-based studies and data-driven dissertations. 

When conducting research, some candidates who rely on quantitative measures focus their work on testing existing theories, while others create an original approach. To refine their approach, quantitative researchers focus on positivist or post-positivist research paradigms. Quantitative research designs focus on descriptive, experimental or relationship-based designs, to name a few. 

To collect the data itself, researchers focus on questionnaires and surveys, structured interviews and observations, data sets and laboratory-based methods. Then, once it’s time to assess the quality of the data, quantitative researchers measure their results against a set of criteria, including: reliability, internal/external validity and construct validity. Quantitative researchers have options when presenting their findings. Candidates convey their results using graphs, data, tables and analytical statements.

3. Mixed-Method

Many PhD candidates also use a hybrid model in which they employ both qualitative and quantitative methods of research. Mixed dissertation research models are fairly new and gaining traction. For a variety of reasons, a mixed-method approach offers candidates both versatility and credibility. It’s a more comprehensive strategy that allows for a wider capture of data with a wide range of presentation optimization. 

In the most common cases, candidates will first use quantitative methods to collect and categorize their data. Then, they’ll rely on qualitative methods to analyze that data and draw meaningful conclusions to relay to their committee panel. 

With a mixed-method approach, although you’re able to collect and analyze a more broad range of data, you run the risk of widening the scope of your dissertation research so much that you’re not able to reach succinct, sustainable conclusions. This is where it becomes critical to outline your research goals and strategy early on in the dissertation process so that the techniques you use to capture data have been thoroughly examined. 

How to Choose a Type of Dissertation Research That’s Right for You

After this overview of application and function, you may still be wondering how to go about choosing a dissertation type that’s right for you and your research proposition. In doing so, you’ll have a couple of things to consider: 

• What are your personal motivations? 
• What are your academic goals? 

It’s important to discern exactly what you hope to get out of your doctoral program . Of course, the presentation of your dissertation is, formally speaking, the pinnacle of your research. However, doctoral candidates must also consider:

• Which contributions they will make to the field
• Who they hope to collaborate with throughout their studies
• What they hope to take away from the experience personally, professionally and academically

Personal Considerations

To discern which type of dissertation research to choose, you have to take a closer look at your learning style, work ethic and even your personality. 

Quantitative research tends to be sequential and patterned-oriented. Steps move in a logical order, so it becomes clear what the next step should be at all times. For most candidates, this makes it easier to devise a timeline and stay on track. It also keeps you from getting overwhelmed by the magnitude of research involved. You’ll be able to assess your progress and make simple adjustments to stay on target. 

On the other hand, maybe you know that your research will involve many interviews and focus groups. You anticipate that you’ll have to coordinate participants’ schedules, and this will require some flexibility. Instead of creating a rigid schedule from the get-go, allowing your research to flow in a non-linear fashion may actually help you accomplish tasks more efficiently, albeit out of order. This also allows you the personal versatility of rerouting research strategy as you collect new data that leads you down other paths. 

After examining the research you need to conduct, consider more broadly: What type of student and researcher are you? In other words, What motivates you to do your best work? 

You’ll need to make sure that your methodology is conducive to the data you’re collecting, and you also need to make sure that it aligns with your work ethic so you set yourself up for success. If jumping from one task to another will cause you extra stress, but planning ahead puts you at ease, a quantitative research method may be best, assuming the type of research allows for this. 

Professional Considerations

The skills you master while working on your dissertation will serve you well beyond the day you earn your degree. Take into account the skills you’d like to develop for your academic and professional future. In addition to the hard skills you will develop in your area of expertise, you’ll also develop soft skills that are transferable to nearly any professional or academic setting. Perhaps you want to hone your ability to strategize a timeline, gather data efficiently or draw clear conclusions about the significance of your data collection. 

If you have considerable experience with quantitative analysis, but lack an extensive qualitative research portfolio, now may be your opportunity to explore — as long as you’re willing to put in the legwork to refine your skills or work closely with your mentor to develop a strategy together. 

Academic Considerations

For many doctoral candidates who hope to pursue a professional career in the world of academia, writing your dissertation is a practice in developing general research strategies that can be applied to any academic project. 

Candidates who are unsure which dissertation type best suits their research should consider whether they will take a philosophical or theoretical approach or come up with a thesis that addresses a specific problem or idea. Narrowing down this approach can sometimes happen even before the research begins. Other times, candidates begin to refine their methods once the data begins to tell a more concrete story.

Next Step: Structuring Your Dissertation Research Schedule

Once you’ve chosen which type of dissertation research you’ll pursue, you’ve already crossed the first hurdle. The next hurdle becomes when and where to fit dedicated research time and visits with your mentor into your schedule. The busyness of day-to-day life shouldn’t prevent you from making your academic dream a reality. In fact, search for programs that assist, not impede, your path to higher levels of academic success. 

Find out more about SNU’s online and on-campus education opportunities so that no matter where you are in life, you can choose the path that’s right for you.

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Research Methods for Dissertation – Types with Comparison

Published by Carmen Troy at August 13th, 2021 , Revised On June 14, 2023

Introduction

“Research methods for a dissertation refer to the specific approaches, procedures, and techniques employed by researchers to investigate and gather data for their dissertation projects.”

These methods provide a systematic and structured framework for conducting research, ensuring the reliability, validity, and rigour of the study.

What are the different research methods for the dissertation, and which one should I use?

Choosing the right research method for a dissertation is a grinding and perplexing aspect of the dissertation research process. A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you’re conducting answers the set  research questions .

The research  title,  research questions,  hypothesis , objectives, and study area generally determine the best research method in the dissertation.

This post’s primary purpose is to highlight what these different  types of research  methods involve and how you should decide which type of research fits the bill. As you read through this article, think about which one of these research methods will be the most appropriate for your research.

The practical, personal, and academic reasons for choosing any particular method of research are also analysed. You will find our explanation of experimental , descriptive , historical , quantitative , qualitative , and mixed research methods useful regardless of your field of study.

While choosing the right method of research for your own research, you need to:

• Understand the difference between research methods and  methodology .
• Think about your research topic, research questions, and research objectives to make an intelligent decision.
• Know about various types of research methods so that you can choose the most suitable and convenient method as per your research requirements.

Research Methodology Vs. Research Methods

A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you are conducting answers the set  research questions .

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the  research process .

You need to either collect data or talk to the people while conducting any research. The research methods can be classified based on this distinction.

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Types of Research Methods

Research methods are broadly divided into six main categories.

Experimental Research Methods

Descriptive research methods, historical research methods, quantitative research methods, qualitative research methods, mixed methods of research.

Experimental research  includes the experiments conducted in the laboratory or observation under controlled conditions. Researchers try to study human behavior by performing various experiments. Experiments can vary from personal and informal natural comparisons. It includes three  types of variables;

• Independent variable
• Dependent variable
• Controlled variable

Types of Experimental Methods

Laboratory experiments

The experiments were conducted in the laboratory. Researchers have control over the variables of the experiment.

Field experiment

The experiments were conducted in the open field and environment of the participants by incorporating a few artificial changes. Researchers do not have control over variables under measurement. Participants know that they are taking part in the experiment.

Natural experiments

The experiment is conducted in the natural environment of the participants. The participants are generally not informed about the experiment being conducted on them.

Example : Estimating the health condition of the population.

Quasi-experiments

A quasi-experiment is an experiment that takes advantage of natural occurrences. Researchers cannot assign random participants to groups.

Example: Comparing the academic performance of the two schools.

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Descriptive research aims at collecting the information to answer the current affairs. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred. It aims to answer questions like how, what, when, where, and what rather than ‘why.’

In  historical research , an investigator collects, analyses the information to understand, describe, and explain the events that occurred in the past. Researchers try to find out what happened exactly during a certain period of time as accurately and as closely as possible. It does not allow any manipulation or control of variables.

Quantitative research  is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

Quantitative research isn’t simply based on  statistical analysis or quantitative techniques but rather uses a certain approach to theory to address research hypotheses or research questions, establish an appropriate research methodology, and draw findings &  conclusions .

Some most commonly employed quantitative research strategies include data-driven dissertations, theory-driven studies, and reflection-driven research. Regardless of the chosen approach, there are some common quantitative research features as listed below.

• Quantitative research is based on testing or building on existing theories proposed by other researchers whilst taking a reflective or extensive route.
• Quantitative research aims to test the research hypothesis or answer established research questions.
• It is primarily justified by positivist or post-positivist research paradigms.
• The  research design can be relationship-based, quasi-experimental, experimental, or descriptive.
• It draws on a small sample to make generalisations to a wider population using probability sampling techniques.
• Quantitative data is gathered according to the established research questions and using research vehicles such as structured observation, structured interviews, surveys, questionnaires, and laboratory results.
• The researcher uses  statistical analysis  tools and techniques to measure variables and gather inferential or descriptive data. In some cases, your tutor or members of the dissertation committee might find it easier to verify your study results with numbers and statistical analysis.
• The accuracy of the study results is based on external and internal validity and the authenticity of the data used.
• Quantitative research answers research questions or tests the hypothesis using charts, graphs, tables, data, and statements.
• It underpins  research questions  or hypotheses and findings to make conclusions.
• The researcher can provide recommendations for future research and expand or test existing theories.

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It is a type of scientific research where a researcher collects evidence to seek answers to a  question . It is associated with studying human behaviour from an informative perspective. It aims at obtaining in-depth details of the problem.

As the term suggests,  qualitative research  is based on qualitative research methods, including participants’ observations, focus groups, and unstructured interviews.

Qualitative research is very different in nature when compared to quantitative research. It takes an established path towards the  research process , how  research questions  are set up, how existing theories are built upon, what research methods are employed, and how the  findings  are unveiled to the readers.

You may adopt conventional methods, including phenomenological research, narrative-based research, grounded theory research,  ethnographies ,  case studies , and auto-ethnographies.

Again, regardless of the chosen approach to qualitative research, your dissertation will have unique key features as listed below.

• The research questions that you aim to answer will expand or even change as the  dissertation writing process continues. This aspect of the research is typically known as an emergent design where the research objectives evolve with time.
• Qualitative research may use existing theories to cultivate new theoretical understandings or fall back on existing theories to support the research process. However, the original goal of testing a certain theoretical understanding remains the same.
• It can be based on various research models, such as critical theory, constructivism, and interpretivism.
• The chosen research design largely influences the analysis and discussion of results and the choices you make. Research design depends on the adopted research path: phenomenological research, narrative-based research, grounded theory-based research, ethnography, case study-based research, or auto-ethnography.
• Qualitative research answers research questions with theoretical sampling, where data gathered from an organisation or people are studied.
• It involves various research methods to gather qualitative data from participants belonging to the field of study. As indicated previously, some of the most notable qualitative research methods include participant observation, focus groups, and unstructured  interviews .
• It incorporates an  inductive process where the researcher analyses and understands the data through his own eyes and judgments to identify concepts and themes that comprehensively depict the researched material.
• The key quality characteristics of qualitative research are transferability, conformity, confirmability, and reliability.
• Results and discussions are largely based on narratives, case study and personal experiences, which help detect inconsistencies, observations, processes, and ideas.s
• Qualitative research discusses theoretical concepts obtained from the results whilst taking research questions and/or hypotheses  to draw general  conclusions .

Now that you know the unique differences between quantitative and qualitative research methods, you may want to learn a bit about primary and secondary research methods.

Here is an article that will help you  distinguish between primary and secondary research and decide whether you need to use quantitative and/or qualitative primary research methods in your dissertation.

Alternatively, you can base your dissertation on secondary research, which is descriptive and explanatory in essence.

Types of Qualitative Research Methods

Action research

Action research  aims at finding an immediate solution to a problem. The researchers can also act as the participants of the research. It is used in the educational field.

A  case study  includes data collection from multiple sources over time. It is widely used in social sciences to study the underlying information, organisation, community, or event. It does not provide any solution to the problem. Researchers cannot act as the participants of the research.

Ethnography

In  this type of research, the researcher examines the people in their natural environment. Ethnographers spend time with people to study people and their culture closely. They can consult the literature before conducting the study.

When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.

Over the last few decades, much of the research in academia has been conducted using mixed methods because of the greater legitimacy this particular technique has gained for several reasons including the feeling that combining the two types of research can provide holistic and more dependable results.

Here is what mixed methods of research involve:

• Interpreting and investigating the information gathered through quantitative and qualitative techniques.
• There could be more than one stage of research. Depending on the research topic, occasionally it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

Note: However, this method has one prominent limitation, which is, as previously mentioned, combining qualitative and quantitative research can be difficult because they both are different in terms of design and approach. In many ways, they are contrasting styles of research, and so care must be exercised when basing your dissertation on mixed methods of research.

When choosing a research method for your own dissertation, it would make sense to carefully think about your  research topic ,  research questions , and research objectives to make an intelligent decision in terms of the philosophy of  research design .

Dissertations based on mixed methods of research can be the hardest to tackle even for PhD students.

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Please Find Below an Example of Research Methods Section in a Dissertation or Thesis.

Background and Problem

Diversity management became prominent in the late twentieth century, with foundations in America. Historically homogeneous or nondiverse nations, such as Finland, have not yet experienced the issues associated with rising cultural and ethnic diversity in the workforce. Regardless of the environment, workforce diversity garners greater attention and is characterised by its expanding relevance due to globalised and international companies, global and national worker mobility, demographic shifts, or enhancing productivity.

As a result, challenges of diversity management have been handled through legal, financial, and moral pressures (Hayes et al., 2020). The evolving structure of the working population in terms of language, ethnic background, maturity level, faith, or ethnocultural history is said to pose a challenge to human resource management (HRM) in utilising diversity: the understanding, abilities, and expertise prospects of the entire workforce to deal with possible developments.

The European approach to diversity management is regarded as growing. However, it is found to emphasise the relationship to business and lack competence in diversity management problems. Mass immigration concentrates variety, sometimes treated as cultural minority issues, implying the normalisation of anti-discrimination actions (Yadav and Lenka, 2020).

These causes, in turn, have provided the basis of comprehensive diversity research, which has generated different theories, frameworks, concepts, and guidelines from interdisciplinary viewpoints, such as industrial and organisational psychology and behaviour (OB), cultural studies, anthropology, migration, economics, postcolonialism, and so on. And in the form of international, social and cultural, organisational, group, and individual scale diversity analysis. This dissertation focuses on diversity concerns from impression management, specifically from HRM as an executive-level phenomenon (Seliverstova, 2021).

As conceptual frameworks, organisational structures concentrating on the production of diversity and social psychology, notably social identity theory with diverse ‘identities’ of persons or intergroup connections, are primarily employed. The study’s primary goal in the workplace is to discover inequities or examine the effects of diversity on workplace outcomes.

Individual study interests include behaviours, emotions, intelligence, intercultural skills or competencies, while group research interests include group dynamics, intergroup interactions, effectiveness, and cooperation or collaboration. Organisational studies address themes such as workforce composition, workplace equality, and diversity challenges and how they may be managed accordingly. Domestic diversity, omitting national distinctions, or global diversity, about diverse country cultures, might be studied further (AYDIN and ÖZEREN, 2018).

Diversity is a context-dependent, particular, comparative, complicated, plural phrase or idea with varying interpretations in different organisations and cultures and no unified definition. As a result, in addition to many internal and external elements, diversity may be managed, individuals taught, and organisations have grown in various ways. This dissertation considers diversity in an organisational environment as a construct of ‘differences’ to be handled (Cummings, 2018).

Various management systems have grown in stages, bringing diverse diversity management concepts. Equality/equal opportunities (EO) legislation and diversity management are the two conventional approaches and primary streams with differing theoretical foundations for managing and dealing with workforce diversity challenges (DM).

These approaches relate to whether diversity is handled by increasing sameness by legal pressures or by voluntarily respecting people’s differences, which shows an organisation’s responsiveness and proactivity toward managing diversity. But most of the literature in this area has avoided the impression management theories (Coad and Guenther, 2014). Therefore, this study will add a new dimension in this area by introducing impression management analysis.

Research Aim and Objectives

This research aims to analyse the impact of organisational structure on human resources diversification from the viewpoint of impression managerial theory. It has the following objectives:

• It will examine the existing impression management literature to draw insights into the relationship under consideration.
• It will identify various factors such as competency, social inclusion, etc., affecting the management’s decision to recruit diverse human resources.
• It will recommend appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories.

Research Questions

This research will answer the following questions:

• How does organisational structure affect human resources diversification from the viewpoint of impression managerial theory?
• What factors such as competency, social inclusion, etc., affect the management decision to recruit diverse human resources?
• What are appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories?

Research Hypothesis

The organisational structure significantly impacts the recruitment of diverse human resources.

Literature Review

According to Staniec and Zakrzewska-Bielawska (2010), considering strategy-oriented activities and organisational components are the critical foundation in the organisational structure required to align structure strategy. Each company’s internal organisation is somewhat distinctive, resulting from various corporate initiatives and historical conditions.

Furthermore, each design is based on essential success elements and vital tasks inherent in the firm plan. This article offers empirical research on unique organisational structure elements in Polish firms in the context of concentration and diversification tactics. And companies that adopted concentration techniques mainly used functional organisational structures.

Tasks were primarily classified and categorised based on functions and phases of the technical process, with coordination based on hierarchy. Jobs were also highly centralised and formalised. Organisational structures of an active type were also prevalent in many firms. Only a handful of the evaluated organisations possessed flexible contemporary divisional or matrix structures appropriate to differentiation. However, it appears that even such organisations should adjust their organisational solutions to perform successfully in an immensely complex and chaotic environment.

Similarly, according to Yang and Konrad (2011), diversity management techniques are the institutionalised methods created and applied by organisations to manage diversity among all organisational shareholders. They examined the existing research on the causes and significance of diversity management approaches.

They construct a research model indicating many potential routes for future study using institutional and resource-based theories. They also offer prospective avenues for study on diversity management techniques to further the two theoretical viewpoints. The findings indicate that research on diverse management practises might provide perceptions into the two ideologies. Diversity management provides a method for reconciling the agency vs structure issue for institutional concept.

Furthermore, diversity management is a suitable framework for studying how institutional pressures are translated into organisational action and the relationship between complying with institutional mandates and attaining high performance. Research on diversity management raises the importance of environmental normative elements in resource-based reasoning.

It allows for exploring essential resource sources and the co-evolution of diversity resources and management capacities, potentially developing dynamic resource-based theory. Furthermore, a review of the existing research on diversity management practices reveals that research in this field has nearly entirely concentrated on employee-related activities.

However, in establishing the idea of diversity management practises, we included the practises that companies put in place to manage diversity across all stakeholder groups on purpose. Management techniques for engaging with consumers, dealers, supervisors, board directors, and community members are critical for meeting institutional theory’s social and normative commitments.

Moreover, according to Sippola (2014), this research looks at diversity management from the standpoint of HRM. The study aims to discover the effects of expanding workforce diversity on HRM inside firms. This goal will be accomplished through four papers examining diversity management’s impacts on HRM from various viewpoints and mostly in longitudinal contexts.

The purpose of the first article, as a pilot survey, is to determine the reasons, advantages, and problems of rising cultural diversity and the consequences for HRM to get a preliminary grasp of the issue in the specific setting. According to the report, diversity is vital for productivity but is not often emphasised in HRM strategy.

The key areas that were changed were acquisition, development, and growth. The second article examines how different diversity management paradigms recognised in businesses affect HRM. It offers an experimentally verified typology that explains reactive or proactive strategic and operational level HRM activities in light of four alternative diversity management perspectives.

The third essay will examine how a ‘working culture bridge group’ strategy fosters and enhances workplace diversity. The research looks into how development goals are defined, what training and development techniques are used, and the consequences and causal factors when an analysis measures the training and development approach.

The primary goal of article four is to establish which components of diversity management design are globally integrated into multinational corporations (MNCs) and which integrating (delivery) methods are employed to facilitate it. Another goal is to identify the institutional problems faced by the Finnish national diversity setting during the integration process.

The findings show that the example organisation achieved more excellent global uniformity at the level of diversification concept through effective use of multiple frameworks but was forced to rely on a more multinational approach to implementing diversification policies and procedures. The difficulties faced emphasised the distinctiveness of Finland’s cognitive and normative institutional setting for diversity.

Furthermore, according to Guillaume et al. (2017), to compensate for the dual-edged character of demographic workplace diversity impacts on social inclusion, competence, and well-being-related factors, research has shifted away from straightforward main effect methods and begun to investigate factors that moderate these effects.

While there is no shortage of primary research on the circumstances that lead to favourable or poor results, it is unknown which contextual elements make it work. Using the Classification framework as a theoretical lens, they examine variables that moderate the impacts of workplace diversity on social integration, performance, and well-being outcomes, emphasising characteristics that organisations and managers can influence.

They suggest future study directions and end with practical applications. They concluded that faultlines, cross-categorisation, and status variations across demographic groupings highlight variety. Cross-categorisation has been proven to reduce intergroup prejudice while promoting social inclusion, competence, and well-being. Whether faultlines and subgroup status inequalities promote negative or good intergroup interactions and hinder social integration, performance, and well-being depends on whether situational factors encourage negative or positive intergroup connections. The impacts were not mitigated by team size or diversity type.

Furthermore, our data demonstrate that task characteristics are essential for workgroup diversity. Any demographic diversity in workgroups can promote creativity, but only when combined with task-relevant expertise improves the performance of teams undertaking complicated tasks. The type of team and the industrial context do not appear to play an effect. It is unclear if these findings apply to relational demography and organisational diversity impacts. There is some evidence that, under some settings, relational demography may increase creativity, and, as previously said, demographic variety may help firms function in growth-oriented strategy contexts.

Likewise, according to Ali, Tawfeq, and Dler (2020), diversity management refers to organisational strategies that strive to increase the integration of people from diverse backgrounds into the framework of corporate goals. Organisations should develop productive ways to implement diversity management (DM) policies to establish a creative enterprise that can enhance their operations, goods, and services.

Furthermore, human resource management HRM is a clever tool for any firm to manage resources within the company. As a result, this article explores the link between DM, HR policies, and workers’ creative work-related behaviours in firms in Kurdistan’s Fayoum city. According to the questionnaire, two hypotheses were tested: the influence of HRM on diversity management, HRM on innovation, and the impact of diversity management on innovation.

The first premise is that workplace diversity changes the nature of working relationships, how supervisors and managers connect, and how workers respond to one another. It also addresses human resource functions such as record-keeping, training, recruiting, and employee competence needs. The last premise on the influence of diversity management on innovation is that workplace diversity assists a business in hiring a diverse range of personnel.

In other words, a vibrant population need individuals of varied personalities. Workplace diversity refers to a company’s workforce consisting of employees of various genders, ages, faiths, races, ethnicities, cultural backgrounds, religions, dialects, training, capabilities, etc. According to the study’s findings, human resource management strategies have a substantial influence on diversity management.

Second, diversity management was found to have a considerable impact on creativity. Finally, human resource management techniques influenced innovation significantly. Based on the findings, it was discovered that diversity management had a more significant influence on creation than human resource management.

Lastly, according to Li et al. (2021), the universal trend of rising workplace age diversity has increased the study focus on the organisational effects of age-diverse workforces. Prior research has mainly concentrated on the statistical association between age diversity and organisational success rather than experimentally examining the probable processes behind this relationship.

They argue that age diversity influences organisational performance through human and social capital using an intellectual capital paradigm. Moreover, they investigate workplace functional diversity and age-inclusive management as two confounding factors affecting the benefits of age diversity on physical and human capital.

Their hypotheses were evaluated using data from the Association for Human Resource Management’s major manager-reported workplace survey. Age diversity was favourably linked with organisational performance via the mediation of higher human and social capital. Furthermore, functional diversity and age-inclusive management exacerbated the favourable benefits of age variety on human and social capital. Their study gives insight into how age-diverse workforces might generate value by nurturing knowledge-based organisational resources.

Research Gap/ Contribution

Although there is a vast body of research in diversity in the human resource management area, many researchers explored various dimensions. But no study explicitly discovers the impact of organisational culture on human resource diversification. Moreover, no researchers examined the scope of impression management in this context.

Therefore, this research will fill this considerable literature gap by finding the direct impact of organisational structure on human resource diversification. Secondly, by introducing a new dimension of impression management theory. It will open new avenues for research in this area, and it will help HR managers to formulate better policies for a more inclusive organisational structure.

Research Methodology

It will be mixed quantitative and qualitative research based on the secondary data collected through different research journals and case studies of various companies. Firstly, the quantitative analysis will be conducted through a regression analysis to show the organisational structure’s impact on human resource diversification.

The dummy variable will be used to show organisational structure, and diversification will be captured through the ethnic backgrounds of the employees. Moreover, different variables will be added to the model, such as competency, social inclusion, etc. It will fulfil the objective of identifying various factors which affect the management decision to recruit diverse human resources. Secondly, a systematic review of the literature will be conducted for qualitative analysis to add the impression management dimension to the research. Google Scholar, JSTOR, Scopus, etc., will be used to search keywords such as human resource diversity, impression management, and organisation structure.

Research Limitation

Although research offers a comprehensive empirical analysis on the relationship under consideration due to lack of resources, the study is limited to secondary data. It would be better if the research would’ve been conducted on the primary data collected through the organisations. That would’ve captured the actual views of the working professionals. It would’ve increased the validity of the research.

Ali, M., Tawfeq, A., & Dler, S. (2020). Relationship between Diversity Management and Human Resource Management: Their Effects on Employee Innovation in the Organizations. Black Sea Journal of Management and Marketing, 1 (2), 36-44.

AYDIN, E., & ÖZEREN, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda. Business & Management Studies: An International Journal, 6 (3), 650-670.

Coad, A., & Guenther, C. (2014). Processes of firm growth and diversification: theory and evidence. Small Business Economics, 43 (4), 857-871.

Cummings, V. (2018). Economic Diversification and Empowerment of Local Human Resources: Could Singapore Be a Model for the GCC Countries?. In. Economic Diversification in the Gulf Region, II , 241-260.

Guillaume, Y., Dawson, J., Otaye‐Ebede, L., Woods, S., & West, M. (2017). Harnessing demographic differences in organizations: What moderates the effects of workplace diversity? Journal of Organizational Behavior, 38 (2), 276-303.

Hayes, T., Oltman, K., Kaylor, L., & Belgudri, A. (2020). How leaders can become more committed to diversity management. Consulting Psychology Journal: Practice and Research, 72 (4), 247.

Li, Y., Gong, Y., Burmeister, A., Wang, M., Alterman, V., Alonso, A., & Robinson, S. (2021). Leveraging age diversity for organizational performance: An intellectual capital perspective. Journal of Applied Psychology, 106 (1), 71.

Seliverstova, Y. (2021). Workforce diversity management: a systematic literature review. Strategic Management, 26 (2), 3-11.

Sippola, A. (2014). Essays on human resource management perspectives on diversity management. Vaasan yliopisto.

Staniec, I., & Zakrzewska-Bielawska, A. (2010). Organizational structure in the view of single business concentration and diversification strategies—empirical study results. Recent advances in management, marketing, finances. WSEAS Press, Penang, Malaysia .

Yadav, S., & Lenka, U. (2020). Diversity management: a systematic review. Equality, Diversity and Inclusion: An International Journal .

Yang, Y., & Konrad, A. (2011). Understanding diversity management practices: Implications of institutional theory and resource-based theory. Group & Organization Management, 36 (1), 6-38.

FAQs About Research Methods for Dissertations

What is the difference between research methodology and research methods.

Research methodology helps you conduct your research in the right direction, validates the results of your research and makes sure that the study you are conducting answers the set research questions.

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the research process.

What are the types of research methods?

The types of research methods include:

•     Experimental research methods.
•     Descriptive research methods
•     Historical Research methods

What is a quantitative research method?

Quantitative research is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

What is a qualitative research method?

It is a type of scientific research where a researcher collects evidence to seek answers to a question . It is associated with studying human behavior from an informative perspective. It aims at obtaining in-depth details of the problem.

What is meant by mixed methods research?

Mixed methods of research involve:

• There could be more than one stage of research. Depending on the research topic, occasionally, it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

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Descriptive research is carried out to describe current issues, programs, and provides information about the issue through surveys and various fact-finding methods.

Discourse analysis is an essential aspect of studying a language. It is used in various disciplines of social science and humanities such as linguistic, sociolinguistics, and psycholinguistic.

A case study is a detailed analysis of a situation concerning organizations, industries, and markets. The case study generally aims at identifying the weak areas.

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Types of research papers

Analytical research paper

Argumentative or persuasive paper, definition paper, compare and contrast paper, cause and effect paper, interpretative paper, experimental research paper, survey research paper, frequently asked questions about the different types of research papers, related articles.

There are multiple different types of research papers. It is important to know which type of research paper is required for your assignment, as each type of research paper requires different preparation. Below is a list of the most common types of research papers.

➡️ Read more:  What is a research paper?

In an analytical research paper you:

• pose a question
• collect relevant data from other researchers
• analyze their different viewpoints

You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic. It is important to stay neutral and not show your own negative or positive position on the matter.

The argumentative paper presents two sides of a controversial issue in one paper. It is aimed at getting the reader on the side of your point of view.

You should include and cite findings and arguments of different researchers on both sides of the issue, but then favor one side over the other and try to persuade the reader of your side. Your arguments should not be too emotional though, they still need to be supported with logical facts and statistical data.

Tip: Avoid expressing too much emotion in a persuasive paper.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information. You should include facts from a variety of sources, but leave those facts unanalyzed.

Compare and contrast papers are used to analyze the difference between two:

Make sure to sufficiently describe both sides in the paper, and then move on to comparing and contrasting both thesis and supporting one.

Cause and effect papers are usually the first types of research papers that high school and college students write. They trace probable or expected results from a specific action and answer the main questions "Why?" and "What?", which reflect effects and causes.

In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

An interpretative paper requires you to use knowledge that you have gained from a particular case study, for example a legal situation in law studies. You need to write the paper based on an established theoretical framework and use valid supporting data to back up your statement and conclusion.

This type of research paper basically describes a particular experiment in detail. It is common in fields like:

Experiments are aimed to explain a certain outcome or phenomenon with certain actions. You need to describe your experiment with supporting data and then analyze it sufficiently.

This research paper demands the conduction of a survey that includes asking questions to respondents. The conductor of the survey then collects all the information from the survey and analyzes it to present it in the research paper.

➡️ Ready to start your research paper? Take a look at our guide on how to start a research paper .

In an analytical research paper, you pose a question and then collect relevant data from other researchers to analyze their different viewpoints. You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information.

Cause and effect papers are usually the first types of research papers that high school and college students are confronted with. The answer questions like "Why?" and "What?", which reflect effects and causes. In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

This type of research paper describes a particular experiment in detail. It is common in fields like biology, chemistry or physics. Experiments are aimed to explain a certain outcome or phenomenon with certain actions.

Research Design 101

Everything You Need To Get Started (With Examples)

By: Derek Jansen (MBA) | Reviewers: Eunice Rautenbach (DTech) & Kerryn Warren (PhD) | April 2023

Navigating the world of research can be daunting, especially if you’re a first-time researcher. One concept you’re bound to run into fairly early in your research journey is that of “ research design ”. Here, we’ll guide you through the basics using practical examples , so that you can approach your research with confidence.

Overview: Research Design 101

What is research design.

• Research design types for quantitative studies
• Video explainer : quantitative research design
• Research design types for qualitative studies
• Video explainer : qualitative research design
• How to choose a research design
• Key takeaways

Research design refers to the overall plan, structure or strategy that guides a research project , from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study.

Understanding different types of research designs is essential as helps ensure that your approach is suitable  given your research aims, objectives and questions , as well as the resources you have available to you. Without a clear big-picture view of how you’ll design your research, you run the risk of potentially making misaligned choices in terms of your methodology – especially your sampling , data collection and data analysis decisions.

The problem with defining research design…

One of the reasons students struggle with a clear definition of research design is because the term is used very loosely across the internet, and even within academia.

Some sources claim that the three research design types are qualitative, quantitative and mixed methods , which isn’t quite accurate (these just refer to the type of data that you’ll collect and analyse). Other sources state that research design refers to the sum of all your design choices, suggesting it’s more like a research methodology . Others run off on other less common tangents. No wonder there’s confusion!

In this article, we’ll clear up the confusion. We’ll explain the most common research design types for both qualitative and quantitative research projects, whether that is for a full dissertation or thesis, or a smaller research paper or article.

Research Design: Quantitative Studies

Quantitative research involves collecting and analysing data in a numerical form. Broadly speaking, there are four types of quantitative research designs: descriptive , correlational , experimental , and quasi-experimental . 

Descriptive Research Design

As the name suggests, descriptive research design focuses on describing existing conditions, behaviours, or characteristics by systematically gathering information without manipulating any variables. In other words, there is no intervention on the researcher’s part – only data collection.

For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation.

The key defining attribute of this type of research design is that it purely describes the situation . In other words, descriptive research design does not explore potential relationships between different variables or the causes that may underlie those relationships. Therefore, descriptive research is useful for generating insight into a research problem by describing its characteristics . By doing so, it can provide valuable insights and is often used as a precursor to other research design types.

Correlational Research Design

Correlational design is a popular choice for researchers aiming to identify and measure the relationship between two or more variables without manipulating them . In other words, this type of research design is useful when you want to know whether a change in one thing tends to be accompanied by a change in another thing.

For example, if you wanted to explore the relationship between exercise frequency and overall health, you could use a correlational design to help you achieve this. In this case, you might gather data on participants’ exercise habits, as well as records of their health indicators like blood pressure, heart rate, or body mass index. Thereafter, you’d use a statistical test to assess whether there’s a relationship between the two variables (exercise frequency and health).

As you can see, correlational research design is useful when you want to explore potential relationships between variables that cannot be manipulated or controlled for ethical, practical, or logistical reasons. It is particularly helpful in terms of developing predictions , and given that it doesn’t involve the manipulation of variables, it can be implemented at a large scale more easily than experimental designs (which will look at next).

That said, it’s important to keep in mind that correlational research design has limitations – most notably that it cannot be used to establish causality . In other words, correlation does not equal causation . To establish causality, you’ll need to move into the realm of experimental design, coming up next…

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Experimental Research Design

Experimental research design is used to determine if there is a causal relationship between two or more variables . With this type of research design, you, as the researcher, manipulate one variable (the independent variable) while controlling others (dependent variables). Doing so allows you to observe the effect of the former on the latter and draw conclusions about potential causality.

For example, if you wanted to measure if/how different types of fertiliser affect plant growth, you could set up several groups of plants, with each group receiving a different type of fertiliser, as well as one with no fertiliser at all. You could then measure how much each plant group grew (on average) over time and compare the results from the different groups to see which fertiliser was most effective.

Overall, experimental research design provides researchers with a powerful way to identify and measure causal relationships (and the direction of causality) between variables. However, developing a rigorous experimental design can be challenging as it’s not always easy to control all the variables in a study. This often results in smaller sample sizes , which can reduce the statistical power and generalisability of the results.

Moreover, experimental research design requires random assignment . This means that the researcher needs to assign participants to different groups or conditions in a way that each participant has an equal chance of being assigned to any group (note that this is not the same as random sampling ). Doing so helps reduce the potential for bias and confounding variables . This need for random assignment can lead to ethics-related issues . For example, withholding a potentially beneficial medical treatment from a control group may be considered unethical in certain situations.

Quasi-Experimental Research Design

Quasi-experimental research design is used when the research aims involve identifying causal relations , but one cannot (or doesn’t want to) randomly assign participants to different groups (for practical or ethical reasons). Instead, with a quasi-experimental research design, the researcher relies on existing groups or pre-existing conditions to form groups for comparison.

For example, if you were studying the effects of a new teaching method on student achievement in a particular school district, you may be unable to randomly assign students to either group and instead have to choose classes or schools that already use different teaching methods. This way, you still achieve separate groups, without having to assign participants to specific groups yourself.

Naturally, quasi-experimental research designs have limitations when compared to experimental designs. Given that participant assignment is not random, it’s more difficult to confidently establish causality between variables, and, as a researcher, you have less control over other variables that may impact findings.

All that said, quasi-experimental designs can still be valuable in research contexts where random assignment is not possible and can often be undertaken on a much larger scale than experimental research, thus increasing the statistical power of the results. What’s important is that you, as the researcher, understand the limitations of the design and conduct your quasi-experiment as rigorously as possible, paying careful attention to any potential confounding variables .

Research Design: Qualitative Studies

There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”. Specifically, we’ll look at phenomenological design, grounded theory design, ethnographic design, and case study design.

Phenomenological Research Design

Phenomenological design involves exploring the meaning of lived experiences and how they are perceived by individuals. This type of research design seeks to understand people’s perspectives , emotions, and behaviours in specific situations. Here, the aim for researchers is to uncover the essence of human experience without making any assumptions or imposing preconceived ideas on their subjects.

For example, you could adopt a phenomenological design to study why cancer survivors have such varied perceptions of their lives after overcoming their disease. This could be achieved by interviewing survivors and then analysing the data using a qualitative analysis method such as thematic analysis to identify commonalities and differences.

Phenomenological research design typically involves in-depth interviews or open-ended questionnaires to collect rich, detailed data about participants’ subjective experiences. This richness is one of the key strengths of phenomenological research design but, naturally, it also has limitations. These include potential biases in data collection and interpretation and the lack of generalisability of findings to broader populations.

Grounded Theory Research Design

Grounded theory (also referred to as “GT”) aims to develop theories by continuously and iteratively analysing and comparing data collected from a relatively large number of participants in a study. It takes an inductive (bottom-up) approach, with a focus on letting the data “speak for itself”, without being influenced by preexisting theories or the researcher’s preconceptions.

As an example, let’s assume your research aims involved understanding how people cope with chronic pain from a specific medical condition, with a view to developing a theory around this. In this case, grounded theory design would allow you to explore this concept thoroughly without preconceptions about what coping mechanisms might exist. You may find that some patients prefer cognitive-behavioural therapy (CBT) while others prefer to rely on herbal remedies. Based on multiple, iterative rounds of analysis, you could then develop a theory in this regard, derived directly from the data (as opposed to other preexisting theories and models).

Grounded theory typically involves collecting data through interviews or observations and then analysing it to identify patterns and themes that emerge from the data. These emerging ideas are then validated by collecting more data until a saturation point is reached (i.e., no new information can be squeezed from the data). From that base, a theory can then be developed .

As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation , especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive , given the need for multiple rounds of data collection and analysis.

Ethnographic Research Design

Ethnographic design involves observing and studying a culture-sharing group of people in their natural setting to gain insight into their behaviours, beliefs, and values. The focus here is on observing participants in their natural environment (as opposed to a controlled environment). This typically involves the researcher spending an extended period of time with the participants in their environment, carefully observing and taking field notes .

All of this is not to say that ethnographic research design relies purely on observation. On the contrary, this design typically also involves in-depth interviews to explore participants’ views, beliefs, etc. However, unobtrusive observation is a core component of the ethnographic approach.

As an example, an ethnographer may study how different communities celebrate traditional festivals or how individuals from different generations interact with technology differently. This may involve a lengthy period of observation, combined with in-depth interviews to further explore specific areas of interest that emerge as a result of the observations that the researcher has made.

As you can probably imagine, ethnographic research design has the ability to provide rich, contextually embedded insights into the socio-cultural dynamics of human behaviour within a natural, uncontrived setting. Naturally, however, it does come with its own set of challenges, including researcher bias (since the researcher can become quite immersed in the group), participant confidentiality and, predictably, ethical complexities . All of these need to be carefully managed if you choose to adopt this type of research design.

Case Study Design

With case study research design, you, as the researcher, investigate a single individual (or a single group of individuals) to gain an in-depth understanding of their experiences, behaviours or outcomes. Unlike other research designs that are aimed at larger sample sizes, case studies offer a deep dive into the specific circumstances surrounding a person, group of people, event or phenomenon, generally within a bounded setting or context .

As an example, a case study design could be used to explore the factors influencing the success of a specific small business. This would involve diving deeply into the organisation to explore and understand what makes it tick – from marketing to HR to finance. In terms of data collection, this could include interviews with staff and management, review of policy documents and financial statements, surveying customers, etc.

While the above example is focused squarely on one organisation, it’s worth noting that case study research designs can have different variation s, including single-case, multiple-case and longitudinal designs. As you can see in the example, a single-case design involves intensely examining a single entity to understand its unique characteristics and complexities. Conversely, in a multiple-case design , multiple cases are compared and contrasted to identify patterns and commonalities. Lastly, in a longitudinal case design , a single case or multiple cases are studied over an extended period of time to understand how factors develop over time.

As you can see, a case study research design is particularly useful where a deep and contextualised understanding of a specific phenomenon or issue is desired. However, this strength is also its weakness. In other words, you can’t generalise the findings from a case study to the broader population. So, keep this in mind if you’re considering going the case study route.

How To Choose A Research Design

Having worked through all of these potential research designs, you’d be forgiven for feeling a little overwhelmed and wondering, “ But how do I decide which research design to use? ”. While we could write an entire post covering that alone, here are a few factors to consider that will help you choose a suitable research design for your study.

Data type: The first determining factor is naturally the type of data you plan to be collecting – i.e., qualitative or quantitative. This may sound obvious, but we have to be clear about this – don’t try to use a quantitative research design on qualitative data (or vice versa)!

Research aim(s) and question(s): As with all methodological decisions, your research aim and research questions will heavily influence your research design. For example, if your research aims involve developing a theory from qualitative data, grounded theory would be a strong option. Similarly, if your research aims involve identifying and measuring relationships between variables, one of the experimental designs would likely be a better option.

Time: It’s essential that you consider any time constraints you have, as this will impact the type of research design you can choose. For example, if you’ve only got a month to complete your project, a lengthy design such as ethnography wouldn’t be a good fit.

Resources: Take into account the resources realistically available to you, as these need to factor into your research design choice. For example, if you require highly specialised lab equipment to execute an experimental design, you need to be sure that you’ll have access to that before you make a decision.

Keep in mind that when it comes to research, it’s important to manage your risks and play as conservatively as possible. If your entire project relies on you achieving a huge sample, having access to niche equipment or holding interviews with very difficult-to-reach participants, you’re creating risks that could kill your project. So, be sure to think through your choices carefully and make sure that you have backup plans for any existential risks. Remember that a relatively simple methodology executed well generally will typically earn better marks than a highly-complex methodology executed poorly.

Recap: Key Takeaways

We’ve covered a lot of ground here. Let’s recap by looking at the key takeaways:

• Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data.
• Research designs for quantitative studies include descriptive , correlational , experimental and quasi-experimenta l designs.
• Research designs for qualitative studies include phenomenological , grounded theory , ethnographic and case study designs.
• When choosing a research design, you need to consider a variety of factors, including the type of data you’ll be working with, your research aims and questions, your time and the resources available to you.

If you need a helping hand with your research design (or any other aspect of your research), check out our private coaching services .

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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10 Comments

Is there any blog article explaining more on Case study research design? Is there a Case study write-up template? Thank you.

Thanks this was quite valuable to clarify such an important concept.

Thanks for this simplified explanations. it is quite very helpful.

This was really helpful. thanks

Thank you for your explanation. I think case study research design and the use of secondary data in researches needs to be talked about more in your videos and articles because there a lot of case studies research design tailored projects out there.

Please is there any template for a case study research design whose data type is a secondary data on your repository?

This post is very clear, comprehensive and has been very helpful to me. It has cleared the confusion I had in regard to research design and methodology.

This post is helpful, easy to understand, and deconstructs what a research design is. Thanks

how to cite this page

Thank you very much for the post. It is wonderful and has cleared many worries in my mind regarding research designs. I really appreciate .

how can I put this blog as my reference(APA style) in bibliography part?

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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

• Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
• Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
• Is the thesis complex enough to require a whole essay's worth of argument?  
• Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
• Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
• picture_as_pdf Thesis

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Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

There are various types of research that are classified by objective, depth of study, analysed data and the time required to study the phenomenon etc.

This article will answer common questions about the PhD synopsis, give guidance on how to write one, and provide my thoughts on samples.

Fieldwork can be essential for your PhD project. Use these tips to help maximise site productivity and reduce your research time by a few weeks.

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A well written figure legend will explain exactly what a figure means without having to refer to the main text. Our guide explains how to write one.

Scientific misconduct can be described as a deviation from the accepted standards of scientific research, study and publication ethics.

Dr Young gained his PhD in Neuroscience from the University of Cambridge. He is now a a Senior Lecturer at the University of Portsmouth, Deputy Director for the Institute of Biological and Biomedical Sciences and more!

Adam’s about to start his fifth year of PhD research at the University of Massachusetts Amherst, where he’s earning a doctorate in anthropology as an affiliated researcher with the University of Iceland’s medical school.

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Types of Theses

Three types of gallatin ma theses.

Each graduate student in the Gallatin School completes a final thesis as the culmination of their work toward a Master of Arts degree. The thesis may take one of three forms: a research thesis, an artistic thesis, or a project thesis. In each case, the thesis represents a synthesis of the student’s accumulated knowledge and skill and an opportunity to display the ideas, practices and skills learned through the program. While the master’s thesis, unlike a doctoral dissertation, does not have to create new knowledge or break new ground, it does display the student’s ability to go beyond the mere collection of information into synthesis, analysis, judgment and interpretation. Moreover, it should demonstrate the student’s familiarity with a substantial body of thought and literature and illustrate mastery of some self-chosen field of study.

Below you will find descriptions of the three types of theses: 

Research Thesis

Artistic thesis, project thesis.

Current MA students who are interested in seeing sample theses should consult the Gallatin Master's Thesis Archive , which is accessible with an NYU Net ID.

Students pursuing the research option produce and defend a substantial research essay, the thesis of which is demonstrably related to the student’s course of study and ongoing conversations with the primary adviser. The adviser and defense panelists are the ultimate arbiters of whether the thesis satisfies a reasonable understanding of a project worthy of the master’s degree. However, in general and at minimum, a successful Gallatin MA research thesis demonstrates sufficient mastery of relevant academic fields as well as a critical grasp of the scholarship and methods that currently define those fields. The thesis essay is a logically-constructed argument that presents its central points on the basis of research and critical interpretation. The sources and objects of study may cover the spectrum from archival materials to critical theory to statistical surveys and personal interviews, but the student should carefully choose sources in consultation with the primary adviser, and with reference to questions about what constitutes legitimate source within the student’s field(s). The research thesis essay must be more than a "review of the literature" but the demand for original findings is lower than that faced by doctoral candidates. Significantly original contributions are of course highly commendable, but the excellence of an MA research thesis essay may lie in its critical and creative synthesis, articulation of a fresh perspective on the work of others, or identification of new, research-based questions that themselves shed light on existing problems within fields. Generally speaking, the final research thesis essay should be at least 50 pages and not exceed 80 pages (not including appendices and bibliographic material). Students and advisers are encouraged to talk with the program's academic directors about these expectations whenever necessary.

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The artistic thesis is appropriate for those students who wish to display the creative process in the performing, visual or literary arts. A student might make a film or video; choreograph an evening of dance; act in a play; mount an exhibit of paintings; write a screenplay, novel, play or collection of short stories; or choose another artistic endeavor. The artistic thesis represents the culmination of a Gallatin arts concentration in which the student has studied the genre under consideration.

The artistic thesis comprises both the artistic project and three accompanying essays. Therefore, you should conceive of the artistic thesis as a unified piece composed of the creative work and the essays which enhance it. Members of the faculty committee will assess both the artistic work and the essays. The essays include:

• an academic research paper related to the field of artistic work;
• an essay on artistic aims and process;
• a technical essay.

Please note: The technical essay does not apply to those students who are submitting a literary work.

Some General Advice

Be careful to keep records and a log of the artistic project as it evolves. This information can be used in the Technical Essay.

If a student is writing a work of fiction, poems, a play, etc., for the thesis, the student will submit this work to their adviser and other readers along with the essays. However, if the student is presenting a performance, they will need to arrange to have their adviser and other members of their committee see the performance. The student is responsible for coordinating schedules and for notifying committee members so that everyone can view the piece. The student should notify the thesis reviewer of the date of the performance at least one month in advance. In the event that one or more of the committee cannot attend the scheduled event, the student should arrange to have the performance videotaped so people can see it later. Except in unusual circumstances, the student must submit the first draft of the thesis to their adviser no more than three months after the performance.

Essays for the Artistic Thesis

Background Research Essay

As stated above, this essay follows the description for the standard research essay. It is a scholarly endeavor and differs from the standard essay in terms of length and focus. The length is approximately 25 to 40 pages. The focus of the essay is related to the artistic work and explores some aspect of that work that the student wishes to study and develop through outside research. The essay might take the form of an analysis of a performance or literary genre; a history of an art form or phenomenon; a philosophical study of an aesthetic concept; or a critical/biographical analysis of the work of an influential artistic figure.

Artistic Aims Essay

In this essay, the student is required to articulate their goals in mounting their particular artistic project. For example, what was the student trying to accomplish in writing short stories, a screenplay, a novel, presenting an evening of dances or songs, making a film or mounting an art exhibit? What were the aesthetic choices made and why?  The student should also explain their approach to the artistic work (their style, genre, or school), any relevant influences on the work, how the student's training influenced their artistic choices, and the student's intentions for particular elements of the creative work. After the student has carefully and clearly articulated these goals, they need to explain how their actual artistic work meets the stated goals. The student should use examples from their artistic project to illustrate these ideas. This essay should be approximately 10-15 pages in length.

Technical Essay

This essay is a description of the steps the student actually took to physically mount their production.  The student will need to include such technical details as arranging for rehearsal and performance space; choosing the performers; finding/creating, costumes, materials, lights; raising funds and getting institutional support. This essay should be approximately 10 pages in length.

Students may submit a portfolio, if appropriate. This would consist of any material, such as photos, slides, fliers, programs, videotapes, audiotapes etc. which might constitute an appendix and which might be helpful to a fuller understanding of the thesis.

The project thesis consists of two elements: (1) the project, a professional activity designed and executed primarily by the student as a way of solving a problem, and (2) an accompanying essay about the project. This thesis is especially appropriate for students in such fields as business, education, social work or public administration. The project thesis may appeal to those students who are active in their profession and who take responsibility for the creation of some kind of program or practice.

Students should understand that the project cannot simply propose a professional activity; the design for such an activity must actually be carried out (at least in a pilot version) and evaluated. Some examples of projects: a student in education may develop and apply a new strategy for teaching reading to recent immigrants; a person working in a corporation may construct new methods for managing financial information; or a community worker in a settlement house may organize a group of local residents to combat drug abuse.

At each step, the student should be careful to keep in touch with their adviser and with any other expert who can help them in their process. The student should keep careful records of the process by taking detailed notes of conversations, meetings, interviews, etc.  If at all possible, the student should arrange to have the members of their committee, especially their adviser, witness the project first-hand: Visit the site, talk with key actors, watch the program in operation. (This direct contact is highly recommended, but not required.)

Essays for the Project Thesis

The project thesis essay may take a number of forms and include a range of information. It ought to discuss at least the following elements:

Consider the institutional or social context within which the project takes place. Describe the organization, the potential clientele or participants, and the larger environment (social, economic and political conditions surrounding the problem and the project).

Describe the particular problem or need that you address in the project. What causes that problem? How extensive is it? Have other attempts to solve the problem been made; if so, what were their shortcomings, and why are you trying another approach? Place the problem in its professional and academic context by referring to the appropriate literature. Program

Describe the goals and objectives of the project and what the student hoped to accomplish. Describe how the program was designed and structured; for example, what kinds of activities did participants engage in, and in what sequence? What kinds of resources and techniques were used? Justify the strategies and tactics used by citing appropriate professional and academic literatures.

Implementation

Describe how the plan was carried out. Use as much detail as needed to give the reader a sense of what actually happened, and to indicate the extent to which the reality matched the plan.

Describe the criteria for assessing the project and evaluation methods used. Justify the criteria and methods by referring to appropriate literatures. To what extent did the project accomplish the goals and objectives identified earlier?

Citing relevant literature and the practical contingencies of the project, explain why the project did or did not achieve its stated purposes. Describe the factors (political, social, organizational, financial, psychological, etc.) that contributed to the process and to the outcomes. What changes--either conceptual or practical--would the student make if they were to repeat or extend the project? What would the student leave in place? Describe what was learned from the project about the original problem and about the student's strategy and tactics. Also consider the professional and theoretical implications of the project.

If necessary, put relevant documentary materials (flyers, important correspondence, budgets, etc.) in appendices.

Conceptual and Theoretical Frameworks for Thesis Studies: What you must know

A theoretical framework is a conceptual model that provides a systematic and structured way of thinking about a research problem or question. It helps to identify key variables and the relationships between them and to guide the selection and interpretation of data. Theoretical frameworks draw on existing theories and research and can be used to develop new hypotheses or test existing ones. They provide a foundation for research design, data collection, and analysis and can help to ensure that research is relevant, rigorous, and coherent. Theoretical frameworks are common in many disciplines, including social sciences, natural sciences, and humanities, and are essential for building knowledge and advancing understanding in a field.

This article explains the importance of frameworks in a thesis study and the differences between conceptual frameworks and theoretical frameworks. It provides guidelines on how to write a thesis framework, definitions of variable types, and examples of framework types.

What is a research framework and why do I need one?

When planning your thesis study, you need to justify your research and explain its design to your readers. This is called the research framework.

When planning your thesis study, you need to justify your research and explain its design to your readers. This is called the research framework. Think of it as the foundation of a building. A good building needs a strong foundation. Similarly, your research needs to be supported by reviewing and explaining the existing knowledge in the field, describing how your research study will fit within or contribute to the existing literature (e.g., it could challenge or test an existing theory or address a knowledge gap), and informing the reader how your study design aligns with your thesis question or hypothesis.

Important components of the framework are a literature review of recent studies associated with your thesis topic as well as theories/models used in your field of research. The literature review acts as a filtering tool to select appropriate thesis questions and guide data collection, analysis, and interpretation of your findings. Think broadly! Apart from reviewing relevant published papers in your field of research, also explore theories that you have come across in your undergraduate courses, other published thesis studies, encyclopedias, and handbooks.

There are two types of research frameworks: theoretical and conceptual .

What is a conceptual framework?

A conceptual framework is a written or visual representation that explains the study variables and their relationships with each other. The starting point is a literature review of existing studies and theories about your topic.

Steps to develop a conceptual framework

• Clarify your study topic by identifying and defining key concepts in your thesis problem statement and thesis question. Essentially, your thesis should address a knowledge gap.
• Perform a literature review to provide a background to interpret and explain the study findings. Also, draw on empirical knowledge that you have gained from personal experience.
• Identify crucial variables from the literature review and your empirical knowledge, classify them as dependent or independent variables, and define them.
• Brainstorm all the possible factors that could affect each dependent variable.
• Propose relationships among the variables and determine any associations that exist between all variables.
• Use a flowchart or tree diagram to present your conceptual framework.

Types of variables

When developing a conceptual framework, you will need to identify the following:

• Independent variables
• Dependent variables
• Moderating variables
• Mediating variables
• Control variables

First, identify the independent (cause) and dependent (effect) variables in your study. Then, identify variables that influence this relationship, such as moderating variables, mediating variables, and control variables. A moderating variable changes the relationship between independent and dependent variables when its value increases or decreases. A mediating variable links independent and dependent variables to better explain the relationship between them. A control variable could potentially impact the cause-and-effect relationship but is kept constant throughout the study so that its effects on the findings/outcomes can be ruled out.

Example of a conceptual framework

You want to investigate the hours spent exercising (cause) on childhood obesity (effect).

Now, you need to consider moderating variables that affect the cause-and-effect relationship. In our example, the amount of junk food eaten would affect the level of obesity.

Next, you need to consider mediating variables. In our example, the maximum heart rate during exercise would affect the child’s weight.

Finally, you need to consider control variables. In this example, because we do not want to investigate the role of age in obesity, we can use this as a control variable. Thus, the study subjects would be children of a specific age (e.g., aged 6–10 years).

What is a theoretical framework?

A theoretical framework provides a general framework for data analysis. It defines the concepts used and explains existing theories and models in your field of research.

A theoretical framework provides a general framework for data analysis. It defines the concepts used and explains existing theories and models in your field of research. It also explains any assumptions that were used to inform your approach and your choice of specific rationales. Theoretical frameworks are often used in the fields of social sciences.

Purpose of a theoretical framework

• Test and challenge existing theories
• Establish orderly connections between observations and facts
• Predict and control situations
• Develop hypotheses

Steps to develop a theoretical framework

• Identify and define key concepts in your thesis problem statement and thesis question.
• Explain and evaluate existing theories by writing a literature review that describes the concepts, models, and theories that support your study.
• Choose the theory that best explains the relationships between the key variables in your study.
• Explain how your research study fills a knowledge gap or fits into existing studies (e.g., testing if an established theory applies to your thesis context).
• Discuss the relevance of any theoretical assumptions and limitations.

A thesis topic can be approached from a variety of angles, depending on the theories used.

• In psychology, a behavioral approach would use different methods and assumptions compared with a cognitive approach when treating anxiety.
• In literature, a book could be analyzed using different literary theories, such as Marxism or poststructuralism.

Structuring a theoretical framework

The structure of a theoretical framework is fluid, and there are no specific rules that need to be followed, as long as it is clearly and logically presented.

The theoretical framework is a natural extension of your literature review. The literature review should identify gaps in the field of your research, and reviewing existing theories will help to determine how these can be addressed. The structure of a theoretical framework is fluid, and there are no specific rules that need to be followed, as long as it is clearly and logically presented. The theoretical framework is sometimes integrated into the literature review chapter of a thesis, but it can also be included as a separate chapter, depending on the complexity of the theories.

Example of a theoretical framework

The sales staff at Company X are unmotivated and struggling to meet their monthly targets. Some members of the management team believe that this could be achieved by implementing a comprehensive product-training program, but others believe that introducing a sales commission structure will help.

Company X is not achieving their monthly sales targets

To increase monthly sales.

Research question:

How can Company X motivate their sales team to achieve its monthly sales targets?

Sub-questions:

• Why do the sales staff feel unmotivated?
• What is the relationship between motivation and monetary rewards?
• Do the sales staff feel that they have sufficient product knowledge?

Theoretical framework:

A literature search will need to be performed to understand the background of the many different theories of motivation in psychology. For example, Maslow’s Hierarchy of Needs (basic human needs—physiological, safety, love/belonging, esteem, and self-actualization—have to be fulfilled before one can live up to their true potential), Vroom’s Theory of Expectancy (people decide upon their actions based on the outcomes they expect), and Locke’s Goal-Setting Theory (goals are a key driver of one’s behavior). These theories would need to be investigated to determine which would be the best approach to increase the motivation of the sales staff in Company X so that the monthly sales targets are met.

A robust conceptual or theoretical framework is crucial when writing a thesis/dissertation. It defines your research gap, identifies your approach, and guides the interpretation of your results.

A thesis is the most important document you will write during your academic studies. For professional thesis editing and thesis proofreading services, check out Enago's Thesis Editing service s for more information.

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What type of framework is used in the Humanities and Social Sciences (HSS) domain? +

Theoretical frameworks are typically used in the HSS domain, while conceptual frameworks are used in the Sciences domain.

What is the difference between mediating versus moderating variables? +

The difference between mediators and moderators can be confusing. A moderating variable is unaffected by the independent variable and can increase or decrease the strength of the relationship between the independent and dependent variables. A mediating variable is affected by the independent variable and can explain the relationship between the independent and dependent variables. T he statistical correlation between the independent and dependent variables is higher when the mediating variable is excluded.

What software should I use to present my conceptual framework? +

The software program Creately provides some useful templates that can help you get started. Other recommended programs are SmartDraw , Inkscape , and diagrams.net .

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• Types of Research Designs
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

Introduction

Before beginning your paper, you need to decide how you plan to design the study .

The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and data. Note that the research problem determines the type of design you choose, not the other way around!

De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Trochim, William M.K. Research Methods Knowledge Base. 2006.

General Structure and Writing Style

The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible . In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test the underlying assumptions of a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.

With this in mind, a common mistake made by researchers is that they begin their investigations before they have thought critically about what information is required to address the research problem. Without attending to these design issues beforehand, the overall research problem will not be adequately addressed and any conclusions drawn will run the risk of being weak and unconvincing. As a consequence, the overall validity of the study will be undermined.

The length and complexity of describing the research design in your paper can vary considerably, but any well-developed description will achieve the following :

• Identify the research problem clearly and justify its selection, particularly in relation to any valid alternative designs that could have been used,
• Review and synthesize previously published literature associated with the research problem,
• Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem,
• Effectively describe the information and/or data which will be necessary for an adequate testing of the hypotheses and explain how such information and/or data will be obtained, and
• Describe the methods of analysis to be applied to the data in determining whether or not the hypotheses are true or false.

The research design is usually incorporated into the introduction of your paper . You can obtain an overall sense of what to do by reviewing studies that have utilized the same research design [e.g., using a case study approach]. This can help you develop an outline to follow for your own paper.

NOTE: Use the SAGE Research Methods Online and Cases and the SAGE Research Methods Videos databases to search for scholarly resources on how to apply specific research designs and methods . The Research Methods Online database contains links to more than 175,000 pages of SAGE publisher's book, journal, and reference content on quantitative, qualitative, and mixed research methodologies. Also included is a collection of case studies of social research projects that can be used to help you better understand abstract or complex methodological concepts. The Research Methods Videos database contains hours of tutorials, interviews, video case studies, and mini-documentaries covering the entire research process.

Creswell, John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: Sage, 2018; De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Leedy, Paul D. and Jeanne Ellis Ormrod. Practical Research: Planning and Design . Tenth edition. Boston, MA: Pearson, 2013; Vogt, W. Paul, Dianna C. Gardner, and Lynne M. Haeffele. When to Use What Research Design . New York: Guilford, 2012.

Action Research Design

Definition and Purpose

The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.

What do these studies tell you ?

• This is a collaborative and adaptive research design that lends itself to use in work or community situations.
• Design focuses on pragmatic and solution-driven research outcomes rather than testing theories.
• When practitioners use action research, it has the potential to increase the amount they learn consciously from their experience; the action research cycle can be regarded as a learning cycle.
• Action research studies often have direct and obvious relevance to improving practice and advocating for change.
• There are no hidden controls or preemption of direction by the researcher.

What these studies don't tell you ?

• It is harder to do than conducting conventional research because the researcher takes on responsibilities of advocating for change as well as for researching the topic.
• Action research is much harder to write up because it is less likely that you can use a standard format to report your findings effectively [i.e., data is often in the form of stories or observation].
• Personal over-involvement of the researcher may bias research results.
• The cyclic nature of action research to achieve its twin outcomes of action [e.g. change] and research [e.g. understanding] is time-consuming and complex to conduct.
• Advocating for change usually requires buy-in from study participants.

Coghlan, David and Mary Brydon-Miller. The Sage Encyclopedia of Action Research . Thousand Oaks, CA:  Sage, 2014; Efron, Sara Efrat and Ruth Ravid. Action Research in Education: A Practical Guide . New York: Guilford, 2013; Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Lincoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605; McNiff, Jean. Writing and Doing Action Research . London: Sage, 2014; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.

Case Study Design

A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey or comprehensive comparative inquiry. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about an issue or phenomenon.

• Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
• A researcher using a case study design can apply a variety of methodologies and rely on a variety of sources to investigate a research problem.
• Design can extend experience or add strength to what is already known through previous research.
• Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and the extension of methodologies.
• The design can provide detailed descriptions of specific and rare cases.
• A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
• Intense exposure to the study of a case may bias a researcher's interpretation of the findings.
• Design does not facilitate assessment of cause and effect relationships.
• Vital information may be missing, making the case hard to interpret.
• The case may not be representative or typical of the larger problem being investigated.
• If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your interpretation of the findings can only apply to that particular case.

Case Studies. Writing@CSU. Colorado State University; Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Greenhalgh, Trisha, editor. Case Study Evaluation: Past, Present and Future Challenges . Bingley, UK: Emerald Group Publishing, 2015; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.

Causal Design

Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.

Conditions necessary for determining causality:

• Empirical association -- a valid conclusion is based on finding an association between the independent variable and the dependent variable.
• Appropriate time order -- to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
• Nonspuriousness -- a relationship between two variables that is not due to variation in a third variable.
• Causality research designs assist researchers in understanding why the world works the way it does through the process of proving a causal link between variables and by the process of eliminating other possibilities.
• Replication is possible.
• There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
• Not all relationships are causal! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
• Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
• If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and, therefore, to establish which variable is the actual cause and which is the  actual effect.

Beach, Derek and Rasmus Brun Pedersen. Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing . Ann Arbor, MI: University of Michigan Press, 2016; Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Brewer, Ernest W. and Jennifer Kubn. “Causal-Comparative Design.” In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 125-132; Causal Research Design: Experimentation. Anonymous SlideShare Presentation; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base. 2006.

Cohort Design

Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."

• Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
• Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
• The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors often relies upon cohort designs.
• Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
• Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
• Either original data or secondary data can be used in this design.
• In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
• Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
• Due to the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.

Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Glenn, Norval D, editor. Cohort Analysis . 2nd edition. Thousand Oaks, CA: Sage, 2005; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Payne, Geoff. “Cohort Study.” In The SAGE Dictionary of Social Research Methods . Victor Jupp, editor. (Thousand Oaks, CA: Sage, 2006), pp. 31-33; Study Design 101. Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study. Wikipedia.

Cross-Sectional Design

Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure differences between or from among a variety of people, subjects, or phenomena rather than a process of change. As such, researchers using this design can only employ a relatively passive approach to making causal inferences based on findings.

• Cross-sectional studies provide a clear 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
• Unlike an experimental design, where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
• Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
• Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
• Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
• Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
• Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
• Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
• Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical or temporal contexts.
• Studies cannot be utilized to establish cause and effect relationships.
• This design only provides a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
• There is no follow up to the findings.

Bethlehem, Jelke. "7: Cross-sectional Research." In Research Methodology in the Social, Behavioural and Life Sciences . Herman J Adèr and Gideon J Mellenbergh, editors. (London, England: Sage, 1999), pp. 110-43; Bourque, Linda B. “Cross-Sectional Design.” In  The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao. (Thousand Oaks, CA: 2004), pp. 230-231; Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design Application, Strengths and Weaknesses of Cross-Sectional Studies. Healthknowledge, 2009. Cross-Sectional Study. Wikipedia.

Descriptive Design

Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.

• The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject [a.k.a., the Heisenberg effect whereby measurements of certain systems cannot be made without affecting the systems].
• Descriptive research is often used as a pre-cursor to more quantitative research designs with the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
• If the limitations are understood, they can be a useful tool in developing a more focused study.
• Descriptive studies can yield rich data that lead to important recommendations in practice.
• Appoach collects a large amount of data for detailed analysis.
• The results from a descriptive research cannot be used to discover a definitive answer or to disprove a hypothesis.
• Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
• The descriptive function of research is heavily dependent on instrumentation for measurement and observation.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; Given, Lisa M. "Descriptive Research." In Encyclopedia of Measurement and Statistics . Neil J. Salkind and Kristin Rasmussen, editors. (Thousand Oaks, CA: Sage, 2007), pp. 251-254; McNabb, Connie. Descriptive Research Methodologies. Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design, September 26, 2008; Erickson, G. Scott. "Descriptive Research Design." In New Methods of Market Research and Analysis . (Northampton, MA: Edward Elgar Publishing, 2017), pp. 51-77; Sahin, Sagufta, and Jayanta Mete. "A Brief Study on Descriptive Research: Its Nature and Application in Social Science." International Journal of Research and Analysis in Humanities 1 (2021): 11; K. Swatzell and P. Jennings. “Descriptive Research: The Nuts and Bolts.” Journal of the American Academy of Physician Assistants 20 (2007), pp. 55-56; Kane, E. Doing Your Own Research: Basic Descriptive Research in the Social Sciences and Humanities . London: Marion Boyars, 1985.

Experimental Design

A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.

• Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “What causes something to occur?”
• Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
• Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
• Approach provides the highest level of evidence for single studies.
• The design is artificial, and results may not generalize well to the real world.
• The artificial settings of experiments may alter the behaviors or responses of participants.
• Experimental designs can be costly if special equipment or facilities are needed.
• Some research problems cannot be studied using an experiment because of ethical or technical reasons.
• Difficult to apply ethnographic and other qualitative methods to experimentally designed studies.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. School of Psychology, University of New England, 2000; Chow, Siu L. "Experimental Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 448-453; "Experimental Design." In Social Research Methods . Nicholas Walliman, editor. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Kirk, Roger E. Experimental Design: Procedures for the Behavioral Sciences . 4th edition. Thousand Oaks, CA: Sage, 2013; Trochim, William M.K. Experimental Design. Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research. Slideshare presentation.

Exploratory Design

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome . The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.

The goals of exploratory research are intended to produce the following possible insights:

• Familiarity with basic details, settings, and concerns.
• Well grounded picture of the situation being developed.
• Generation of new ideas and assumptions.
• Development of tentative theories or hypotheses.
• Determination about whether a study is feasible in the future.
• Issues get refined for more systematic investigation and formulation of new research questions.
• Direction for future research and techniques get developed.
• Design is a useful approach for gaining background information on a particular topic.
• Exploratory research is flexible and can address research questions of all types (what, why, how).
• Provides an opportunity to define new terms and clarify existing concepts.
• Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
• In the policy arena or applied to practice, exploratory studies help establish research priorities and where resources should be allocated.
• Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
• The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings. They provide insight but not definitive conclusions.
• The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value to decision-makers.
• Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.

Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Streb, Christoph K. "Exploratory Case Study." In Encyclopedia of Case Study Research . Albert J. Mills, Gabrielle Durepos and Eiden Wiebe, editors. (Thousand Oaks, CA: Sage, 2010), pp. 372-374; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research. Wikipedia.

Field Research Design

Sometimes referred to as ethnography or participant observation, designs around field research encompass a variety of interpretative procedures [e.g., observation and interviews] rooted in qualitative approaches to studying people individually or in groups while inhabiting their natural environment as opposed to using survey instruments or other forms of impersonal methods of data gathering. Information acquired from observational research takes the form of “ field notes ” that involves documenting what the researcher actually sees and hears while in the field. Findings do not consist of conclusive statements derived from numbers and statistics because field research involves analysis of words and observations of behavior. Conclusions, therefore, are developed from an interpretation of findings that reveal overriding themes, concepts, and ideas. More information can be found HERE .

• Field research is often necessary to fill gaps in understanding the research problem applied to local conditions or to specific groups of people that cannot be ascertained from existing data.
• The research helps contextualize already known information about a research problem, thereby facilitating ways to assess the origins, scope, and scale of a problem and to gage the causes, consequences, and means to resolve an issue based on deliberate interaction with people in their natural inhabited spaces.
• Enables the researcher to corroborate or confirm data by gathering additional information that supports or refutes findings reported in prior studies of the topic.
• Because the researcher in embedded in the field, they are better able to make observations or ask questions that reflect the specific cultural context of the setting being investigated.
• Observing the local reality offers the opportunity to gain new perspectives or obtain unique data that challenges existing theoretical propositions or long-standing assumptions found in the literature.

What these studies don't tell you

• A field research study requires extensive time and resources to carry out the multiple steps involved with preparing for the gathering of information, including for example, examining background information about the study site, obtaining permission to access the study site, and building trust and rapport with subjects.
• Requires a commitment to staying engaged in the field to ensure that you can adequately document events and behaviors as they unfold.
• The unpredictable nature of fieldwork means that researchers can never fully control the process of data gathering. They must maintain a flexible approach to studying the setting because events and circumstances can change quickly or unexpectedly.
• Findings can be difficult to interpret and verify without access to documents and other source materials that help to enhance the credibility of information obtained from the field  [i.e., the act of triangulating the data].
• Linking the research problem to the selection of study participants inhabiting their natural environment is critical. However, this specificity limits the ability to generalize findings to different situations or in other contexts or to infer courses of action applied to other settings or groups of people.
• The reporting of findings must take into account how the researcher themselves may have inadvertently affected respondents and their behaviors.

Historical Design

The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute a hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.

• The historical research design is unobtrusive; the act of research does not affect the results of the study.
• The historical approach is well suited for trend analysis.
• Historical records can add important contextual background required to more fully understand and interpret a research problem.
• There is often no possibility of researcher-subject interaction that could affect the findings.
• Historical sources can be used over and over to study different research problems or to replicate a previous study.
• The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
• Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
• Interpreting historical sources can be very time consuming.
• The sources of historical materials must be archived consistently to ensure access. This may especially challenging for digital or online-only sources.
• Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
• Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
• It is rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.

Howell, Martha C. and Walter Prevenier. From Reliable Sources: An Introduction to Historical Methods . Ithaca, NY: Cornell University Press, 2001; Lundy, Karen Saucier. "Historical Research." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor. (Thousand Oaks, CA: Sage, 2008), pp. 396-400; Marius, Richard. and Melvin E. Page. A Short Guide to Writing about History . 9th edition. Boston, MA: Pearson, 2015; Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58;  Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.

Longitudinal Design

A longitudinal study follows the same sample over time and makes repeated observations. For example, with longitudinal surveys, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study sometimes referred to as a panel study.

• Longitudinal data facilitate the analysis of the duration of a particular phenomenon.
• Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
• The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
• Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
• The data collection method may change over time.
• Maintaining the integrity of the original sample can be difficult over an extended period of time.
• It can be difficult to show more than one variable at a time.
• This design often needs qualitative research data to explain fluctuations in the results.
• A longitudinal research design assumes present trends will continue unchanged.
• It can take a long period of time to gather results.
• There is a need to have a large sample size and accurate sampling to reach representativness.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Forgues, Bernard, and Isabelle Vandangeon-Derumez. "Longitudinal Analyses." In Doing Management Research . Raymond-Alain Thiétart and Samantha Wauchope, editors. (London, England: Sage, 2001), pp. 332-351; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Menard, Scott, editor. Longitudinal Research . Thousand Oaks, CA: Sage, 2002; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study. Wikipedia.

Meta-Analysis Design

Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated. A well-designed meta-analysis depends upon strict adherence to the criteria used for selecting studies and the availability of information in each study to properly analyze their findings. Lack of information can severely limit the type of analyzes and conclusions that can be reached. In addition, the more dissimilarity there is in the results among individual studies [heterogeneity], the more difficult it is to justify interpretations that govern a valid synopsis of results. A meta-analysis needs to fulfill the following requirements to ensure the validity of your findings:

• Clearly defined description of objectives, including precise definitions of the variables and outcomes that are being evaluated;
• A well-reasoned and well-documented justification for identification and selection of the studies;
• Assessment and explicit acknowledgment of any researcher bias in the identification and selection of those studies;
• Description and evaluation of the degree of heterogeneity among the sample size of studies reviewed; and,
• Justification of the techniques used to evaluate the studies.
• Can be an effective strategy for determining gaps in the literature.
• Provides a means of reviewing research published about a particular topic over an extended period of time and from a variety of sources.
• Is useful in clarifying what policy or programmatic actions can be justified on the basis of analyzing research results from multiple studies.
• Provides a method for overcoming small sample sizes in individual studies that previously may have had little relationship to each other.
• Can be used to generate new hypotheses or highlight research problems for future studies.
• Small violations in defining the criteria used for content analysis can lead to difficult to interpret and/or meaningless findings.
• A large sample size can yield reliable, but not necessarily valid, results.
• A lack of uniformity regarding, for example, the type of literature reviewed, how methods are applied, and how findings are measured within the sample of studies you are analyzing, can make the process of synthesis difficult to perform.
• Depending on the sample size, the process of reviewing and synthesizing multiple studies can be very time consuming.

Beck, Lewis W. "The Synoptic Method." The Journal of Philosophy 36 (1939): 337-345; Cooper, Harris, Larry V. Hedges, and Jeffrey C. Valentine, eds. The Handbook of Research Synthesis and Meta-Analysis . 2nd edition. New York: Russell Sage Foundation, 2009; Guzzo, Richard A., Susan E. Jackson and Raymond A. Katzell. “Meta-Analysis Analysis.” In Research in Organizational Behavior , Volume 9. (Greenwich, CT: JAI Press, 1987), pp 407-442; Lipsey, Mark W. and David B. Wilson. Practical Meta-Analysis . Thousand Oaks, CA: Sage Publications, 2001; Study Design 101. Meta-Analysis. The Himmelfarb Health Sciences Library, George Washington University; Timulak, Ladislav. “Qualitative Meta-Analysis.” In The SAGE Handbook of Qualitative Data Analysis . Uwe Flick, editor. (Los Angeles, CA: Sage, 2013), pp. 481-495; Walker, Esteban, Adrian V. Hernandez, and Micheal W. Kattan. "Meta-Analysis: It's Strengths and Limitations." Cleveland Clinic Journal of Medicine 75 (June 2008): 431-439.

Mixed-Method Design

• Narrative and non-textual information can add meaning to numeric data, while numeric data can add precision to narrative and non-textual information.
• Can utilize existing data while at the same time generating and testing a grounded theory approach to describe and explain the phenomenon under study.
• A broader, more complex research problem can be investigated because the researcher is not constrained by using only one method.
• The strengths of one method can be used to overcome the inherent weaknesses of another method.
• Can provide stronger, more robust evidence to support a conclusion or set of recommendations.
• May generate new knowledge new insights or uncover hidden insights, patterns, or relationships that a single methodological approach might not reveal.
• Produces more complete knowledge and understanding of the research problem that can be used to increase the generalizability of findings applied to theory or practice.
• A researcher must be proficient in understanding how to apply multiple methods to investigating a research problem as well as be proficient in optimizing how to design a study that coherently melds them together.
• Can increase the likelihood of conflicting results or ambiguous findings that inhibit drawing a valid conclusion or setting forth a recommended course of action [e.g., sample interview responses do not support existing statistical data].
• Because the research design can be very complex, reporting the findings requires a well-organized narrative, clear writing style, and precise word choice.
• Design invites collaboration among experts. However, merging different investigative approaches and writing styles requires more attention to the overall research process than studies conducted using only one methodological paradigm.
• Concurrent merging of quantitative and qualitative research requires greater attention to having adequate sample sizes, using comparable samples, and applying a consistent unit of analysis. For sequential designs where one phase of qualitative research builds on the quantitative phase or vice versa, decisions about what results from the first phase to use in the next phase, the choice of samples and estimating reasonable sample sizes for both phases, and the interpretation of results from both phases can be difficult.
• Due to multiple forms of data being collected and analyzed, this design requires extensive time and resources to carry out the multiple steps involved in data gathering and interpretation.

Burch, Patricia and Carolyn J. Heinrich. Mixed Methods for Policy Research and Program Evaluation . Thousand Oaks, CA: Sage, 2016; Creswell, John w. et al. Best Practices for Mixed Methods Research in the Health Sciences . Bethesda, MD: Office of Behavioral and Social Sciences Research, National Institutes of Health, 2010Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 4th edition. Thousand Oaks, CA: Sage Publications, 2014; Domínguez, Silvia, editor. Mixed Methods Social Networks Research . Cambridge, UK: Cambridge University Press, 2014; Hesse-Biber, Sharlene Nagy. Mixed Methods Research: Merging Theory with Practice . New York: Guilford Press, 2010; Niglas, Katrin. “How the Novice Researcher Can Make Sense of Mixed Methods Designs.” International Journal of Multiple Research Approaches 3 (2009): 34-46; Onwuegbuzie, Anthony J. and Nancy L. Leech. “Linking Research Questions to Mixed Methods Data Analysis Procedures.” The Qualitative Report 11 (September 2006): 474-498; Tashakorri, Abbas and John W. Creswell. “The New Era of Mixed Methods.” Journal of Mixed Methods Research 1 (January 2007): 3-7; Zhanga, Wanqing. “Mixed Methods Application in Health Intervention Research: A Multiple Case Study.” International Journal of Multiple Research Approaches 8 (2014): 24-35 .

Observational Design

This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

• Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe [data is emergent rather than pre-existing].
• The researcher is able to collect in-depth information about a particular behavior.
• Can reveal interrelationships among multifaceted dimensions of group interactions.
• You can generalize your results to real life situations.
• Observational research is useful for discovering what variables may be important before applying other methods like experiments.
• Observation research designs account for the complexity of group behaviors.
• Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and are difficult to replicate.
• In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
• There can be problems with bias as the researcher may only "see what they want to see."
• There is no possibility to determine "cause and effect" relationships since nothing is manipulated.
• Sources or subjects may not all be equally credible.
• Any group that is knowingly studied is altered to some degree by the presence of the researcher, therefore, potentially skewing any data collected.

Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Payne, Geoff and Judy Payne. "Observation." In Key Concepts in Social Research . The SAGE Key Concepts series. (London, England: Sage, 2004), pp. 158-162; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010;Williams, J. Patrick. "Nonparticipant Observation." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor.(Thousand Oaks, CA: Sage, 2008), pp. 562-563.

Philosophical Design

Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:

• Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
• Epistemology -- the study that explores the nature of knowledge; for example, by what means does knowledge and understanding depend upon and how can we be certain of what we know?
• Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
• Can provide a basis for applying ethical decision-making to practice.
• Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
• Brings clarity to general guiding practices and principles of an individual or group.
• Philosophy informs methodology.
• Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
• Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
• Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
• Limited application to specific research problems [answering the "So What?" question in social science research].
• Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
• While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
• There are limitations in the use of metaphor as a vehicle of philosophical analysis.
• There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.

Burton, Dawn. "Part I, Philosophy of the Social Sciences." In Research Training for Social Scientists . (London, England: Sage, 2000), pp. 1-5; Chapter 4, Research Methodology and Design. Unisa Institutional Repository (UnisaIR), University of South Africa; Jarvie, Ian C., and Jesús Zamora-Bonilla, editors. The SAGE Handbook of the Philosophy of Social Sciences . London: Sage, 2011; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, DC: Falmer Press, 1994; McLaughlin, Hugh. "The Philosophy of Social Research." In Understanding Social Work Research . 2nd edition. (London: SAGE Publications Ltd., 2012), pp. 24-47; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.

Sequential Design

• The researcher has a limitless option when it comes to sample size and the sampling schedule.
• Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method.
• This is a useful design for exploratory studies.
• There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce intensive.
• Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed. This provides opportunities for continuous improvement of sampling and methods of analysis.
• The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more specific sample can be difficult.
• The design cannot be used to create conclusions and interpretations that pertain to an entire population because the sampling technique is not randomized. Generalizability from findings is, therefore, limited.
• Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.

Betensky, Rebecca. Harvard University, Course Lecture Note slides; Bovaird, James A. and Kevin A. Kupzyk. "Sequential Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 1347-1352; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Henry, Gary T. "Sequential Sampling." In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao, editors. (Thousand Oaks, CA: Sage, 2004), pp. 1027-1028; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis. Wikipedia.

Systematic Review

• A systematic review synthesizes the findings of multiple studies related to each other by incorporating strategies of analysis and interpretation intended to reduce biases and random errors.
• The application of critical exploration, evaluation, and synthesis methods separates insignificant, unsound, or redundant research from the most salient and relevant studies worthy of reflection.
• They can be use to identify, justify, and refine hypotheses, recognize and avoid hidden problems in prior studies, and explain data inconsistencies and conflicts in data.
• Systematic reviews can be used to help policy makers formulate evidence-based guidelines and regulations.
• The use of strict, explicit, and pre-determined methods of synthesis, when applied appropriately, provide reliable estimates about the effects of interventions, evaluations, and effects related to the overarching research problem investigated by each study under review.
• Systematic reviews illuminate where knowledge or thorough understanding of a research problem is lacking and, therefore, can then be used to guide future research.
• The accepted inclusion of unpublished studies [i.e., grey literature] ensures the broadest possible way to analyze and interpret research on a topic.
• Results of the synthesis can be generalized and the findings extrapolated into the general population with more validity than most other types of studies .
• Systematic reviews do not create new knowledge per se; they are a method for synthesizing existing studies about a research problem in order to gain new insights and determine gaps in the literature.
• The way researchers have carried out their investigations [e.g., the period of time covered, number of participants, sources of data analyzed, etc.] can make it difficult to effectively synthesize studies.
• The inclusion of unpublished studies can introduce bias into the review because they may not have undergone a rigorous peer-review process prior to publication. Examples may include conference presentations or proceedings, publications from government agencies, white papers, working papers, and internal documents from organizations, and doctoral dissertations and Master's theses.

Denyer, David and David Tranfield. "Producing a Systematic Review." In The Sage Handbook of Organizational Research Methods .  David A. Buchanan and Alan Bryman, editors. ( Thousand Oaks, CA: Sage Publications, 2009), pp. 671-689; Foster, Margaret J. and Sarah T. Jewell, editors. Assembling the Pieces of a Systematic Review: A Guide for Librarians . Lanham, MD: Rowman and Littlefield, 2017; Gough, David, Sandy Oliver, James Thomas, editors. Introduction to Systematic Reviews . 2nd edition. Los Angeles, CA: Sage Publications, 2017; Gopalakrishnan, S. and P. Ganeshkumar. “Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare.” Journal of Family Medicine and Primary Care 2 (2013): 9-14; Gough, David, James Thomas, and Sandy Oliver. "Clarifying Differences between Review Designs and Methods." Systematic Reviews 1 (2012): 1-9; Khan, Khalid S., Regina Kunz, Jos Kleijnen, and Gerd Antes. “Five Steps to Conducting a Systematic Review.” Journal of the Royal Society of Medicine 96 (2003): 118-121; Mulrow, C. D. “Systematic Reviews: Rationale for Systematic Reviews.” BMJ 309:597 (September 1994); O'Dwyer, Linda C., and Q. Eileen Wafford. "Addressing Challenges with Systematic Review Teams through Effective Communication: A Case Report." Journal of the Medical Library Association 109 (October 2021): 643-647; Okoli, Chitu, and Kira Schabram. "A Guide to Conducting a Systematic Literature Review of Information Systems Research."  Sprouts: Working Papers on Information Systems 10 (2010); Siddaway, Andy P., Alex M. Wood, and Larry V. Hedges. "How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-analyses, and Meta-syntheses." Annual Review of Psychology 70 (2019): 747-770; Torgerson, Carole J. “Publication Bias: The Achilles’ Heel of Systematic Reviews?” British Journal of Educational Studies 54 (March 2006): 89-102; Torgerson, Carole. Systematic Reviews . New York: Continuum, 2003.

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School of Public Health 2023–2024

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• Appendix II: Thesis Guidelines /

Types of Theses

The following five types of theses are acceptable:

Investigative Thesis

The investigative thesis takes an in-depth look at a specific health problem or topic, describing its public health importance and analyzing it from a disciplined perspective. This thesis should include the following:

• Definition of the problem,
• Presentation of the study population and the methods by which data were acquired,
• Analysis of the results,
• Discussion of the implications of the results, and
• Recommendations.

Research Study Demonstrating Mastery of Methodology

This type of thesis requires sophisticated analysis and application. Consequently, students should be sure of their readiness to undertake it. This thesis should include the following:

• Statement of methodological problem;
• Comparison of available solutions, discussing the advantages and disadvantages of each; and
• Either (a) choice and application of one of the available solutions, or (b) development of a new solution with discussion of the advantages and disadvantages of that solution.

Administrative Case Study

An administrative thesis defines, describes, analyzes, and interprets an actual administrative, problem-solving activity undertaken during a student’s field work. A variety of standard case study formats may be employed. An administrative case study thesis should be planned in advance with appropriate techniques for systematic observation and recording of data as the project progresses. This thesis usually includes the following:

• Definition of the problem;
• Description of setting, structure, function, and relationships;
• Relationship of student to problem (authority and accountability);
• Procedural description (case description, process, outcome);
• Analysis of events with reference to theory; and
• Assessment of the administrative solution.

Program Analysis, Evaluation, or Projection

This type of thesis examines either retrospectively or prospectively some particular health problem. This thesis should include the following:

• Definition of the problem that the program addresses,
• Statement of program goals and objectives, and
• Target population (characteristics, distribution, levels of protection, morbidity);
• Historical information, goals, politics;
• Resources and use of resources (acceptability, accessibility);
• Basis of intervention, data on knowledge, attitudes and practices;
• Cost analysis; and
• Specification of further data needs.

Special Project

This type of thesis incorporates a product useful in the teaching or practice of public health such as a curriculum, syllabus, or course for a school program or on-the-job training; specific educational aids (perhaps a computer-assisted learning experience, a programmed instruction course, or a training manual); a movie, videotape, or slide package; a pamphlet for use in health information; a set of formal administrative guidelines to implement a law or administrative decision; or architectural plans for a health facility.

In addition to the product, the student must produce a written analysis that includes the following:

• A rationale for the product and the anticipated audience/users;
• Review of relevant literature;
• Reasons for the selection of the chosen medium/method, including relevant theory;
• Proposal for method to evaluate the product; and
• Discussion of the limitations of the product.

The special project may require review by the Committee on Academic Progress.

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Types of Research methods or Methodology

Introduction.

There are different types of research methods either in social science, management, medical, engineering among others. In all the field of study there are various research methods available and understanding of these methods will assist an individuals to choose the right research methodology in his or her research exercise. There are many ways to categorize different types of research. The words you use to describe your research depend on your discipline and field. Generally, the form ones research (types of research methods ) approach takes will be shaped by the followings:

• The type of knowledge you aim to produce
• The type of data you will collect and analyze
• The sampling methods, timescale and location of the research.

Types of research methods

Experiments.

Experimental research is one of the research methods, and it is any research conducted with a scientific approach, where a set of variables are kept constant while the other set of variables are being measured as the subject of experiment. There are times when you don’t have enough data to support your decisions. In such situations, you need to carry out experiments to discover the facts. Experimental research can gather a lot of data that can help you make better decisions.

The simplest example of an experimental research is conducting a laboratory test. As long as research is being conducted under scientifically acceptable conditions – it qualifies as an experimental research.  A true experimental research is considered to be successful only when the researcher confirms that a change in the dependent variable is solely due to the manipulation of the independent variable. Hey! Remember we are discussing types of research methods

Experimental research should establish a cause and effect of a phenomenon, i.e. effects are observed from an experiment due to the cause. As naturally, occurring event can be confusing for researchers to establish conclusions. For instance, if a cardiology student conducts research to understand the effect of food on cholesterol and derives that most heart patients are non-vegetarians or have diabetes. They are aspects (causes) which can result in a heart attack (effect).

For instance, people who take part in research involving experiments might be asked to complete various tests to measure their cognitive abilities (e.g. word recall, attention, concentration, reasoning ability etc.) usually verbally, on paper or by computer. The results of different groups are then compared. Participants should not be anxious about performing well but simply do their best. The aim of these tests is not to judge people or measure so-called intelligence, but to look for links between performance and other factors. If computers are used, this has to be done in such a way that no previous knowledge of computers is necessary. So people should not be put off by this either.

Learn how to write a thesis and dissertation

The study might include an intervention such as a training programme, some kind of social activity, the introduction of a change in the person’s living environment (e.g. different lighting, background noise, different care routine) or different forms of interaction (e.g. linked to physical contact, conversation, eye contact, interaction time etc.). Often the interaction will be followed by some kind of test (as mentioned above), sometimes before and after the intervention. In other cases, the person may be asked to complete a questionnaire (e.g. about his/her feelings, level of satisfaction or general well-being).

Some studies are just based on one group (within-group design). The researchers might be interested in observing people’s reactions or behaviour before and after a certain intervention (e.g. a training programme). However, in most cases, there are at least two groups (a between-subjects design). One of the groups serves as a control group and is not exposed to the intervention. This is quite similar to the procedure in clinical trials whereby one group does not receive the experimental drug. This enables researchers to compare the two groups and determine the impact of the intervention. Alternatively, the two groups might differ in some important way (e.g. gender, severity of dementia, living at home or in residential care, etc.) and it is that difference that is of interest to the researchers.

You can read our work on writing literature review ussually written before the research methodos 

The essence of survey method can be explained as “questioning individuals on a topic or topics and then describing their responses”. In business studies survey method of primary data collection is used in order to test concepts, reflect attitude of people, establish the level of customer satisfaction, conduct segmentation research and a set of other purposes. Survey method can be used in both, quantitative  as well as, qualitative studies.

Survey method pursues two main purposes:

• Describing certain aspects or characteristics of population and/or
• Testing hypotheses about nature of relationships within a population.

Survey method can be broadly divided into three categories: mail survey, telephone survey and personal interview. The descriptions of each of these methods are briefly explained on the following table

Surveys involve collecting information, usually from fairly large groups of people, by means of questionnaires but other techniques such as interviews or telephoning may also be used. There are different types of survey. The most straightforward type (the “one shot survey”) is administered to a sample of people at a set point in time. Another type is the “before and after survey” which people complete before a major event or experience and then again afterwards.

Questionnaires

Questionnaires are a good way to obtain information from a large number of people and/or people who may not have the time to attend an interview or take part in experiments. They enable people to take their time, think about it and come back to the questionnaire later. Participants can state their views or feelings privately without worrying about the possible reaction of the researcher. Unfortunately, some people may still be inclined to try to give socially acceptable answers. People should be encouraged to answer the questions as honestly as possible so as to avoid the researchers drawing false conclusions from their study.

Questionnaires typically contain multiple choice questions, attitude scales, closed questions and open-ended questions. The drawback for researchers is that they usually have a fairly low response rate and people do not always answer all the questions and/or do not answer them correctly. Questionnaires can be administered in a number of different ways (e.g. sent by post or as email attachments, posted on Internet sites, handed out personally or administered to captive audience (such as people attending conferences). Researchers may even decide to administer the questionnaire in person which has the advantage of including people who have difficulties reading and writing. In this case, the participant may feel that s/he is taking part in an interview rather than completing a questionnaire as the researcher will be noting down the responses on his/her behalf.

Characteristics of a Questionnaire

The questionnaire design depends on the type of information that is required to be collected. Qualitative questionnaires are used when there is a need to collect exploratory information or proving or disproving a hypothesis. Quantitative questionnaires are used when to validate or test any previously generated hypothesis. Some basic characteristics of a questionnaire are:

Uniformity:

Questionnaires are very useful to collect demographic information, personal opinions, facts or attitudes from respondents. One of the biggest characteristic of questionnaires is that it is standardized and uniform. Every respondent see’s the same questions. For example, retail questionnaire contains questions for evaluating retail store purchase value, range of options for product selections, quality of merchandise and more. These questions are uniform for all customers.

Exploratory: 

To collect qualitative data, the questionnaire could be exploratory in nature. There is no restriction of the questions that can be in this questionnaire or the specific objective that this collected. For example, if a questionnaire is administered to the female of the household to understand the spend towards household incomes, a very structured question list could limit the data collection.

• Question Sequence: The questionnaire typically follows a structured flow of questions to increase the number of responses. This sequence of questions are screening questions, warm-up questions, transition questions, skip questions, difficult questions and classification questions.

Types of Questionnaires

As learnt above, questionnaires can be either structured or free-flow. To explain this a little better:

• Structured Questionnaires:  Structured questionnaires collect quantitative data. The questionnaire is planned and designed to collect very specific information. It also initiates a formal enquiry, supplements data and checks previously accumulated data and helps validate any prior hypothesis.
• Unstructured Questionnaires:  Unstructured questionnaires collect qualitative data. The questionnaire in this case has a basic structure and some branching questions but nothing that limits the responses of a respondent. The questions are more open-ended.

Types of Questions

There could be multiple question types in a questionnaire. Some of the widely used types of questions in questionnaire are:

• Open-Ended Questions: Open ended question help collect qualitative data in a questionnaire where the respondent can answer in a free form with little to no restrictions.
• Dichotomous Questions:  The  dichotomous questions is generally a “yes/no” i.e close ended question . This question is generally used in case of the need of basic validation. It is the easiest form of a questionnaire.
• Multiple-Choice Questions: These are a close-ended question type in which a respondent has to select one (single select multiple choice question) or many (multiselect multiple choice question) responses from a given list of options. The multiple choice question is consisted of an incomplete stem (question), right answer or answers, incorrect answers, close alternatives and distractors. Not all questions would have all of the above and these guidelines can be used as deemed fit or that best matches the expected outcome of the question.

Interviews are usually carried out in person i.e. face-to-face but can also be administered by telephone or using more advance computer technology such as Skype. Sometimes they are held in the interviewee’s home, sometimes at a more neutral place. It is important for interviewees to decide whether they are comfortable about inviting the researcher into their home and whether they have a room or area where they can speak freely without disturbing other members of the household.

The interviewer (which is not necessarily the researcher) could adopt a formal or informal approach, either letting the interviewee speak freely about a particular issue or asking specific pre-determined questions. This will have been decided in advance and depend on the approach used by the researchers. A semi-structured approach would enable the interviewee to speak relatively freely, at the same time allowing the researcher to ensure that certain issues were covered.

When conducting the interview, the researcher might have a check list or a form to record answers. This might even take the form of a questionnaire. Taking notes can interfere with the flow of the conversation, particularly in less structured interviews. Also, it is difficult to pay attention to the non-verbal aspects of communication and to remember everything that was said and the way it was said. Consequently, it can be helpful for the researchers to have some kind of additional record of the interview such as an audio or video recording. They should of course obtain permission before recording an interview.

Case studies

Case studies usually involve the detailed study of a particular case (a person or small group). Various methods of data collection and analysis are used but this typically includes observation and interviews and may involve consulting other people and personal or public records. The researchers may be interested in a particular phenomenon (e.g. coping with a diagnosis or a move into residential care) and select one or more individuals in the respective situation on whom to base their case study/studies. Case studies have a very narrow focus which results in detailed descriptive data which is unique to the case(s) studied. Nevertheless, it can be useful in clinical settings and may even challenge existing theories and practices in other domains.

Research methodology.com noted that case studies are a popular research method in business area. Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization. According to its design, case studies in business research can be divided into three categories: explanatory, descriptive and exploratory.

Explanatory case studies  aim to answer ‘how’ or ’why’ questions with little control on behalf of researcher over occurrence of events. This type of case studies focus on phenomena within the contexts of real-life situations. Example: “An investigation into the reasons of the global financial and economic crisis of 2008 – 2010.”

Descriptive case studies  aim to analyze the sequence of interpersonal events after a certain amount of time has passed. Studies in business research belonging to this category usually describe culture or sub-culture, and they attempt to discover the key phenomena. Example: “Impact of increasing levels of multiculturalism on marketing practices: A case study of McDonald’s Indonesia.”

Exploratory case studies  aim to find answers to the questions of ‘what’ or ‘who’. Exploratory case study data collection method is often accompanied by additional data collection method(s) such as interviews, questionnaires, experiments etc. Example: “A study into differences of leadership practices between private and public sector organizations in Atlanta, USA.”

Advantages of case study method include data collection and analysis within the context of phenomenon, integration of qualitative and quantitative data in data analysis, and the ability to capture complexities of real-life situations so that the phenomenon can be studied in greater levels of depth. Case studies do have certain disadvantages that may include lack of rigor, challenges associated with data analysis and very little basis for generalizations of findings and conclusions.

Participant and non-participant observation

Studies which involve observing people can be divided into two main categories, namely participant observation and non-participant observation.

In participant observation studies, the researcher becomes (or is already) part of the group to be observed. This involves fitting in, gaining the trust of members of the group and at the same time remaining sufficiently detached as to be able to carry out the observation. The observations made might be based on what people do, the explanations they give for what they do, the roles they have, relationships amongst them and features of the situation in which they find themselves. The researcher should be open about what s/he is doing, give the participants in the study the chance see the results and comment on them, and take their comments seriously.

In non-participant observation studies, the researcher is not part of the group being studied. The researcher decides in advance precisely what kind of behaviour is relevant to the study and can be realistically and ethically observed. The observation can be carried out in a few different ways. For example, it could be continuous over a set period of time (e.g. one hour) or regularly for shorter periods of time (for 60 seconds every so often) or on a random basis. Observation does not only include noting what happened or was said but also the fact that a specific behaviour did not occur at the time of observation.

Observational trials

Observational trials study health issues in large groups of people but in natural settings. Longitudinal approaches examine the behaviour of a group of people over a fairly lengthy period of time e.g. monitoring cognitive decline from mid to late life paying specific attention to diet and lifestyle factors. In some cases, the researchers might monitor people when they are middle-aged and then again after 15 years and so on. The aim of such studies is usually to determine whether there is a link between one factor and another (e.g. whether high alcohol consumption is correlated with dementia). The group of people involved in this kind of study is known as a cohort and they share a certain characteristic or experience within a defined period. Within the cohort, there may be subgroups (e.g. people who drink moderately, people who drink heavily, people who binge drink etc.) which allow for further comparisons to be made.

In some cases, rather than following a group of people from a specific point in time onwards, the researchers take a retrospective approach, working backwards as it were. They might ask participants to tell them about their past behaviour, diet or lifestyle (e.g. their alcohol consumption, how much exercise they did, whether they smoked etc.) They might also ask for permission to consult the participants’ medical records (a chart review). This is not always a reliable method and may be problematic as some people may forget, exaggerate or idealise their behaviour. For this reason, a prospective study is generally preferred if feasible although a retrospective pilot study preceding a prospective study may be helpful in focusing the study question and clarifying the hypothesis and feasibility of the latter (Hess, 2004).

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Studies using the Delphi method

The Delphi method was developed in the United States in the 1950s and 1960s in the military domain. It has been considered particularly useful in helping researchers determine the range of opinions which exist on a particular subject, in investigating issues of policy or clinical relevance and in trying to come to a consensus on controversial issues. The objectives can be roughly divided into those which aim to measure diversity and those which aim to reach consensus.

Different ways to employ this method have been devised but they tend to share common features, namely a series of “rounds” in which the participants (known as “panellists”) generate ideas or identify salient issues, comment on a questionnaire (constructed on the basis of the results from the first round) and re-evaluate their original responses. After each round, a facilitator provides an anonymous summary of the forecasts/opinions made by the experts and of their reasons.

There is no limit to the number of panellists involved but between 10 and 50 might be considered manageable. The panellists are chosen on the basis of their expertise which could take many forms (e.g. academic, professional or practical knowledge, personal experience of having a condition, being a service user etc.). Also choice of research method depends on the aim of the research

Types of research methods based on aims

Basic vs applied: Basic research aims to develop knowledge, theories and predictions, while applied research aims to develop techniques, products and procedures. Applied research is also referred to as an action research, and the fundamental research is sometimes called basic or pure research. Similarities between applied and fundamental (basic) research relate to the adoption of a systematic and scientific procedure to conduct the study. What you should consider is whether you want to expand scientific understanding or solve a practical problem? Exploratory vs explanatory: Exploratory research aims to explore the main aspects of an under-researched problem, while explanatory research aims to explain the causes and consequences of a well-defined problem. Here you consider the how much is already known about your research problem? Are you conducting initial research on a newly-identified issue, or seeking precise conclusions about an established issue? Inductive VS Deductive: Inductive research aims to develop a theory mostly using qualitative data, while deductive research aims to test a theory mostly using quantitative data. Primary or Secondary.

Qualitative VS Quantitative: Qualitative research methods focus on words and meanings , while quantitative research methods focus on numbers and statistics. Is your research more concerned with measuring something or interpreting something? You can also create a mixed methods research design that has elements of both.

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A thesis is a comprehensive research paper that presents a central argument or claim supported by evidence. Typically written by students pursuing advanced degrees, a thesis demonstrates a deep understanding of a subject. It includes a clear research question, literature review, methodology, analysis, and conclusions. The process enhances critical thinking, research skills , and subject expertise, culminating in a significant academic contribution.

Thesis paper . Many students tend to fear this word and there is a good reason as to why they do.  You may already have tried making a thesis before and at some point, you would also realize the trial and error stage of making one. 

What Is a Thesis?

A thesis a research paper writing that is made for a purpose. Thesis papers consists of a research statement , a kind of statement , a theory, a purpose. The thesis is made in order to prove your theory and make it into a fact. There are a lot of kinds of thesis, but the most common thesis kinds are analytical thesis, an argumentative thesis and an explanatory thesis.

Types of Thesis

Analytical thesis.

An analytical thesis breaks down an issue or idea into its component parts, evaluates the topic, and presents this breakdown and evaluation to the audience. It is often used in literature, history, and social sciences.

Expository Thesis

An expository thesis explains a topic to the audience. It provides a comprehensive overview of a subject, presenting facts and analysis without personal opinion. This type is common in science and technical writing.

Argumentative Thesis

An argumentative thesis makes a claim about a topic and justifies this claim with specific evidence. The goal is to persuade the reader of a particular viewpoint. This type is prevalent in fields like philosophy, political science, and law.

Narrative Thesis

A narrative thesis tells a story or recounts an event. It includes personal experiences or detailed descriptions of events to support the main argument. This type is often used in creative writing and autobiographies.

Comparative Thesis

A comparative thesis compares and contrasts two or more subjects, evaluating their similarities and differences. It is commonly used in literature, history, and social sciences to draw meaningful conclusions.

Descriptive Thesis

A descriptive thesis provides a detailed description of a topic without arguing a specific point. It paints a vivid picture of the subject, often used in fields like anthropology and sociology to explore cultural phenomena.

Empirical Thesis

An empirical thesis is based on original research and data collection. It involves experiments, surveys, or observations to answer a specific research question. This type is typical in natural and social sciences.

Examples of Thesis

Thesis examples in literature, 1: analysis of a single work.

Title: “The Use of Symbolism in ‘The Great Gatsby’ by F. Scott Fitzgerald”

Thesis Statement: In F. Scott Fitzgerald’s ‘The Great Gatsby,’ the use of symbolism, particularly through the green light at the end of Daisy’s dock, the eyes of Doctor T. J. Eckleburg, and the Valley of Ashes, serves to illustrate the overarching themes of the American Dream, moral decay, and the quest for identity.

2: Comparative Analysis

Title: “The Role of Women in ‘Pride and Prejudice’ by Jane Austen and ‘Jane Eyre’ by Charlotte Brontë”

Thesis Statement: While both Jane Austen’s ‘Pride and Prejudice’ and Charlotte Brontë’s ‘Jane Eyre’ critique the limited roles and expectations of women in 19th-century British society, Austen’s Elizabeth Bennet and Brontë’s Jane Eyre embody different forms of rebellion against societal norms, highlighting the evolving perception of women’s independence and self-worth.

3: Thematic Analysis

Title: “Exploring the Theme of Isolation in ‘Frankenstein’ by Mary Shelley”

Thesis Statement: Mary Shelley’s ‘Frankenstein’ explores the theme of isolation through the experiences of Victor Frankenstein and his creation, the monster, demonstrating how isolation leads to destructive consequences for both individuals and society.

4: Character Analysis

Title: “The Evolution of Hamlet’s Character in William Shakespeare’s ‘Hamlet'”

Thesis Statement: In William Shakespeare’s ‘Hamlet,’ the protagonist undergoes a significant transformation from a grief-stricken and indecisive prince to a determined and introspective avenger, reflecting the complexities of human nature and the impact of existential contemplation.

5: Genre Analysis

Title: “Gothic Elements in ‘Wuthering Heights’ by Emily Brontë”

Thesis Statement: Emily Brontë’s ‘Wuthering Heights’ employs key elements of Gothic literature, including a brooding atmosphere, supernatural occurrences, and the exploration of human psychology, to create a haunting and timeless tale of passion and revenge.

6: Symbolic Analysis

Title: “The Symbolism of the Green Light in ‘The Great Gatsby’ by F. Scott Fitzgerald”

Thesis Statement: The green light in F. Scott Fitzgerald’s ‘The Great Gatsby’ symbolizes Gatsby’s unattainable dreams and the elusive nature of the American Dream, reflecting the broader themes of hope, disillusionment, and the pursuit of an idealized future.

7: Historical Context

Title: “Historical Influences on George Orwell’s ‘1984’”

Thesis Statement: George Orwell’s ‘1984’ draws heavily on the political climate of the early 20th century, particularly the rise of totalitarian regimes and the impact of World War II, to present a dystopian vision of a future where government surveillance and propaganda control every aspect of life.

8: Feminist Critique

Title: “Feminist Perspectives in ‘The Handmaid’s Tale’ by Margaret Atwood”

Thesis Statement: Margaret Atwood’s ‘The Handmaid’s Tale’ critiques the patriarchal structures of contemporary society by depicting a dystopian world where women’s rights are stripped away, illustrating the extreme consequences of gender oppression and the resilience of female solidarity.

9: Psychoanalytic Criticism

Title: “Freudian Elements in ‘The Turn of the Screw’ by Henry James”

Thesis Statement: Henry James’s ‘The Turn of the Screw’ can be interpreted through a Freudian lens, where the governess’s experiences and the ambiguous nature of the ghosts reflect deep-seated psychological conflicts and repressed desires, highlighting the novella’s exploration of the human psyche.

10: Postcolonial Analysis

Title: “Postcolonial Themes in ‘Things Fall Apart’ by Chinua Achebe”

Thesis Statement: Chinua Achebe’s ‘Things Fall Apart’ addresses postcolonial themes by portraying the clash between traditional Igbo society and British colonial forces, illustrating the devastating effects of colonialism on indigenous cultures and the struggle for cultural identity and autonomy.

Thesis Examples for Essays

1: persuasive essay.

Topic: “The Importance of Renewable Energy”

Thesis Statement: Governments around the world should invest heavily in renewable energy sources like solar and wind power to reduce dependency on fossil fuels, combat climate change, and create sustainable job opportunities.

2: Analytical Essay

Topic: “The Symbolism in ‘The Great Gatsby’ by F. Scott Fitzgerald”

Thesis Statement: In ‘The Great Gatsby,’ F. Scott Fitzgerald uses the symbols of the green light, the eyes of Doctor T. J. Eckleburg, and the Valley of Ashes to illustrate the moral and social decay of America during the Roaring Twenties.

3: Expository Essay

Topic: “The Impact of Social Media on Teenagers”

Thesis Statement: Social media has significantly impacted teenagers’ mental health, social skills, and academic performance, both positively and negatively, necessitating a balanced approach to its usage.

4: Compare and Contrast Essay

Topic: “Public vs. Private School Education”

Thesis Statement: While public schools offer a more diverse social environment and extracurricular opportunities, private schools provide smaller class sizes and specialized curriculums, making the choice dependent on individual student needs and family priorities.

5: Cause and Effect Essay

Topic: “The Causes and Effects of the Rise in Obesity Rates”

Thesis Statement: The rise in obesity rates can be attributed to poor dietary habits, sedentary lifestyles, and genetic factors, leading to serious health issues such as diabetes, heart disease, and decreased life expectancy.

6: Narrative Essay

Topic: “A Life-Changing Experience”

Thesis Statement: My trip to volunteer at a rural school in Kenya was a life-changing experience that taught me the value of education, the importance of cultural exchange, and the power of empathy and compassion.

7: Argumentative Essay

Topic: “The Necessity of Free College Education”

Thesis Statement: Free college education is essential for ensuring equal opportunities for all, reducing student debt burdens, and fostering a more educated and productive workforce.

8: Descriptive Essay

Topic: “The Beauty of a Sunset”

Thesis Statement: A sunset, with its vibrant hues and serene ambiance, evokes a sense of peace and reflection, illustrating nature’s ability to inspire awe and tranquility in our daily lives.

9: Definition Essay

Topic: “What is Happiness?”

Thesis Statement: Happiness is a complex and multifaceted emotion characterized by feelings of contentment, fulfillment, and joy, influenced by both internal factors like mindset and external factors such as relationships and achievements.

10: Process Essay

Topic: “How to Bake the Perfect Chocolate Cake”

Thesis Statement: Baking the perfect chocolate cake involves selecting high-quality ingredients, precisely following the recipe, and understanding the nuances of baking techniques, from mixing to temperature control.

Thesis Examples for Argumentative Essay

1: gun control.

Topic: “Stricter Gun Control Laws”

Thesis Statement: Stricter gun control laws are necessary to reduce gun violence in the United States, as evidenced by lower rates of gun-related deaths in countries with stringent regulations.

2: Climate Change

Topic: “Addressing Climate Change”

Thesis Statement: To effectively combat climate change, governments worldwide must implement aggressive policies to reduce carbon emissions, invest in renewable energy, and promote sustainable practices.

3: Animal Testing

Topic: “Ban on Animal Testing”

Thesis Statement: Animal testing for cosmetics should be banned globally due to its ethical implications, the availability of alternative testing methods, and the questionable reliability of animal-based results for human safety.

4: Education Reform

Topic: “Standardized Testing in Schools”

Thesis Statement: Standardized testing should be eliminated in schools as it narrows the curriculum, causes undue stress to students, and fails to accurately measure a student’s potential and abilities.

5: Universal Basic Income

Topic: “Implementing Universal Basic Income”

Thesis Statement: Implementing a universal basic income would help alleviate poverty, reduce income inequality, and provide financial stability in an increasingly automated and unpredictable job market.

6: Health Care

Topic: “Universal Health Care”

Thesis Statement: Universal health care should be adopted in the United States to ensure that all citizens have access to essential medical services, reduce overall healthcare costs, and improve public health outcomes.

7: Immigration Policy

Topic: “Reforming Immigration Policies”

Thesis Statement: Comprehensive immigration reform is essential to address undocumented immigration, protect human rights, and contribute to economic growth by recognizing the contributions of immigrants to society.

8: Death Penalty

Topic: “Abolishing the Death Penalty”

Thesis Statement: The death penalty should be abolished as it is an inhumane practice, prone to judicial errors, and has not been proven to deter crime more effectively than life imprisonment.

9: Social Media Regulation

Topic: “Regulating Social Media Platforms”

Thesis Statement: Social media platforms should be regulated to prevent the spread of misinformation, protect user privacy, and reduce the negative impact on mental health, particularly among adolescents.

10: College Tuition

Topic: “Free College Tuition”

Thesis Statement: Providing free college tuition at public universities would increase access to higher education, reduce student debt, and help create a more educated and skilled workforce to meet future economic demands.

Thesis Examples for Research Papers

1: environmental science.

Topic: “Impact of Plastic Pollution on Marine Life”

Thesis Statement: Plastic pollution in the oceans is causing significant harm to marine life, leading to ingestion and entanglement of plastic debris, disruption of ecosystems, and bioaccumulation of toxic substances in the food chain.

2: Psychology

Topic: “Effects of Social Media on Adolescent Mental Health”

Thesis Statement: Excessive use of social media negatively impacts adolescent mental health by increasing the risk of anxiety, depression, and poor sleep quality, while also contributing to body image issues and cyberbullying.

3: Education

Topic: “Benefits of Bilingual Education Programs”

Thesis Statement: Bilingual education programs enhance cognitive abilities, improve academic performance, and promote cultural awareness, making them a valuable approach in the increasingly globalized and multicultural society.

4: Public Health

Topic: “Addressing the Obesity Epidemic”

Thesis Statement: Addressing the obesity epidemic requires a multifaceted approach that includes implementing public health campaigns, promoting healthy eating habits, increasing physical activity, and regulating food advertising targeted at children.

5: Economics

Topic: “Universal Basic Income and Economic Stability”

Thesis Statement: Implementing a universal basic income can provide economic stability by reducing poverty, ensuring a safety net during economic downturns, and stimulating consumer spending, thereby supporting overall economic growth.

6: Political Science

Topic: “Impact of Voter ID Laws on Voter Turnout”

Thesis Statement: Voter ID laws disproportionately reduce voter turnout among minority and low-income populations, undermining the democratic process and exacerbating existing inequalities in political participation.

7: Sociology

Topic: “Gender Stereotypes in Media Representation”

Thesis Statement: Media representation perpetuates gender stereotypes by consistently portraying men and women in traditional roles, which reinforces societal norms and limits the opportunities for gender equality.

8: Technology

Topic: “Artificial Intelligence in Healthcare”

Thesis Statement: The integration of artificial intelligence in healthcare can improve patient outcomes, enhance diagnostic accuracy, and streamline administrative processes, but it also raises ethical concerns regarding data privacy and the potential for job displacement.

Topic: “Causes and Consequences of the American Civil War”

Thesis Statement: The American Civil War was primarily caused by deep-seated economic, social, and political differences between the North and South, particularly over the issue of slavery, and it resulted in significant social and political changes, including the abolition of slavery and the reconstruction of the South.

10: Environmental Policy

Topic: “Renewable Energy Policies and Their Effectiveness”

Thesis Statement: Renewable energy policies, such as subsidies for solar and wind power and carbon pricing, are effective in reducing greenhouse gas emissions and promoting sustainable energy sources, but their success depends on comprehensive implementation and international cooperation.

Thesis Examples for Informative Essay

Topic: “The Water Cycle”

Thesis Statement: The water cycle, which includes processes such as evaporation, condensation, precipitation, and infiltration, is essential for distributing water across the Earth’s surface and maintaining ecological balance.

2: Health and Wellness

Topic: “The Benefits of Regular Exercise”

Thesis Statement: Regular exercise is crucial for maintaining physical health, improving mental well-being, and reducing the risk of chronic diseases such as obesity, diabetes, and cardiovascular conditions.

3: Technology

Topic: “The Development of Artificial Intelligence”

Thesis Statement: The development of artificial intelligence has progressed from simple machine learning algorithms to complex neural networks capable of performing tasks such as natural language processing, image recognition, and autonomous driving.

Topic: “The Causes and Effects of the American Civil Rights Movement”

Thesis Statement: The American Civil Rights Movement was driven by factors such as racial segregation, economic disparity, and political disenfranchisement, leading to significant legislative and social changes that improved the rights and freedoms of African Americans.

5: Education

Topic: “The Montessori Method of Education”

Thesis Statement: The Montessori method of education, developed by Dr. Maria Montessori, emphasizes self-directed learning, hands-on activities, and collaborative play, fostering independence and critical thinking skills in young children.

6: Sociology

Topic: “The Impact of Urbanization on Community Life”

Thesis Statement: Urbanization significantly impacts community life by altering social structures, increasing economic opportunities, and presenting challenges such as overcrowding, pollution, and loss of green spaces.

7: Environmental Policy

Topic: “The Role of Renewable Energy in Combating Climate Change”

Thesis Statement: Renewable energy sources, such as solar, wind, and hydroelectric power, play a critical role in combating climate change by reducing greenhouse gas emissions and providing sustainable alternatives to fossil fuels.

8: Business

Topic: “The Rise of Gig Economy”

Thesis Statement: The rise of the gig economy has transformed the labor market by offering flexible work opportunities, fostering entrepreneurship, and posing challenges such as job insecurity and lack of benefits for workers.

9: Psychology

Topic: “The Importance of Sleep for Cognitive Function”

Thesis Statement: Adequate sleep is essential for cognitive function, memory consolidation, and emotional regulation, with chronic sleep deprivation leading to impaired mental performance and increased risk of mental health disorders.

10: Cultural Studies

Topic: “The Influence of Japanese Anime on Global Pop Culture”

Thesis Statement: Japanese anime has significantly influenced global pop culture by shaping trends in fashion, art, and storytelling, and fostering a dedicated international fanbase that celebrates its unique aesthetic and thematic elements.

Thesis Examples for Synthesis Essay

1: climate change.

Topic: “Combating Climate Change through Policy and Innovation”

Thesis Statement: Combating climate change requires a multifaceted approach that includes stringent environmental policies, investment in renewable energy technologies, and community-based initiatives to reduce carbon footprints, integrating efforts from government, industry, and society.

2: Education

Topic: “Balancing Technology and Traditional Teaching Methods in Education”

Thesis Statement: A balanced approach to education that combines the benefits of technology, such as interactive learning tools and online resources, with traditional teaching methods, like face-to-face instruction and hands-on activities, can enhance student engagement and academic achievement.

Topic: “Addressing the Opioid Crisis through Comprehensive Strategies”

Thesis Statement: Addressing the opioid crisis requires comprehensive strategies that include better access to addiction treatment programs, stricter regulations on prescription opioids, and increased public awareness campaigns to educate communities about the risks of opioid misuse.

4: Technology

Topic: “The Impact of Social Media on Political Mobilization”

Thesis Statement: Social media has revolutionized political mobilization by providing platforms for grassroots campaigns, enabling real-time communication, and fostering civic engagement, but it also poses challenges such as the spread of misinformation and echo chambers.

5: Business

Topic: “Corporate Social Responsibility and Its Impact on Brand Loyalty”

Thesis Statement: Corporate social responsibility (CSR) initiatives, when genuinely implemented, can significantly enhance brand loyalty by aligning company values with consumer expectations, fostering trust, and contributing positively to societal well-being.

Topic: “The Role of Gender Stereotypes in Media Representation”

Thesis Statement: Media representation perpetuates gender stereotypes by consistently depicting men and women in traditional roles, which influences societal perceptions and expectations, but progressive portrayals are gradually challenging these norms and promoting gender equality.

Topic: “Sustainable Urban Development and Green Infrastructure”

Thesis Statement: Sustainable urban development that incorporates green infrastructure, such as green roofs, urban gardens, and eco-friendly public transportation, is essential for mitigating environmental impacts, improving public health, and enhancing the quality of urban life.

8: Psychology

Topic: “The Effects of Mindfulness Practices on Mental Health”

Thesis Statement: Mindfulness practices, including meditation, yoga, and mindful breathing, have been shown to significantly improve mental health by reducing stress, enhancing emotional regulation, and promoting overall well-being, supported by a growing body of scientific research.

9: Economics

Topic: “Universal Basic Income as a Solution to Economic Inequality”

Thesis Statement: Universal Basic Income (UBI) presents a viable solution to economic inequality by providing financial security, reducing poverty, and supporting economic stability, though it requires careful consideration of funding mechanisms and potential societal impacts.

10: Public Health

Topic: “The Importance of Vaccination Programs in Preventing Epidemics”

Thesis Statement: Vaccination programs are crucial for preventing epidemics, protecting public health, and achieving herd immunity, as evidenced by the successful eradication of diseases like smallpox and the control of outbreaks such as measles and influenza.

Thesis Examples for Persuasive Essays

Thesis Statement: Stricter gun control laws are essential to reduce gun violence in the United States, as they will help prevent firearms from falling into the wrong hands, decrease the number of mass shootings, and enhance public safety.

Topic: “Urgent Action on Climate Change”

Thesis Statement: Immediate and robust action is needed to combat climate change, including reducing carbon emissions, transitioning to renewable energy sources, and implementing sustainable practices to mitigate the devastating effects on our planet.

3: Animal Rights

Topic: “Ban on Animal Testing for Cosmetics”

Thesis Statement: Animal testing for cosmetics should be banned worldwide due to its ethical implications, the availability of alternative testing methods, and the questionable reliability of animal-based results for human safety.

Topic: “Abolishing Standardized Testing in Schools”

Thesis Statement: Standardized testing should be abolished in schools as it narrows the curriculum, places undue stress on students, and fails to accurately measure a student’s potential and abilities, thereby hindering educational growth.

5: Universal Health Care

Topic: “Adopting Universal Health Care in the United States”

Thesis Statement: The United States should adopt a universal health care system to ensure that all citizens have access to essential medical services, reduce overall healthcare costs, and improve public health outcomes.

6: Immigration Policy

Thesis Statement: Comprehensive immigration reform is essential to address undocumented immigration, protect human rights, and contribute to economic growth by recognizing the contributions of immigrants to society and ensuring a fair, efficient legal process.

7: Death Penalty

Thesis Statement: The death penalty should be abolished as it is an inhumane practice, prone to judicial errors, and has not been proven to deter crime more effectively than life imprisonment, while also being more costly to taxpayers.

8: Social Media Regulation

Thesis Statement: Social media platforms should be regulated to prevent the spread of misinformation, protect user privacy, and reduce the negative impact on mental health, particularly among adolescents, to create a safer online environment.

9: College Tuition

Topic: “Providing Free College Tuition”

10: Renewable Energy

Topic: “Investing in Renewable Energy Sources”

Thesis Statement: Governments should invest heavily in renewable energy sources like solar and wind power to reduce dependency on fossil fuels, combat climate change, and create sustainable job opportunities, ensuring a cleaner and healthier future.

Thesis Examples for Analysis Essays

1: literary analysis.

Topic: “Symbolism in ‘The Great Gatsby’ by F. Scott Fitzgerald”

Thesis Statement: In ‘The Great Gatsby,’ F. Scott Fitzgerald uses symbols such as the green light, the Valley of Ashes, and the eyes of Doctor T. J. Eckleburg to critique the American Dream and explore themes of ambition, disillusionment, and moral decay.

2: Film Analysis

Topic: “Themes of Redemption in ‘The Shawshank Redemption'”

Thesis Statement: ‘The Shawshank Redemption’ explores themes of hope, friendship, and the human spirit’s resilience, using the character arcs of Andy Dufresne and Red to highlight the transformative power of hope and redemption within the confines of a corrupt prison system.

3: Rhetorical Analysis

Topic: “Martin Luther King Jr.’s ‘I Have a Dream’ Speech”

Thesis Statement: In his ‘I Have a Dream’ speech, Martin Luther King Jr. employs rhetorical strategies such as repetition, parallelism, and powerful imagery to effectively convey his vision of racial equality and galvanize the civil rights movement.

4: Historical Analysis

Topic: “Causes of the Fall of the Roman Empire”

Thesis Statement: The fall of the Roman Empire was the result of a complex interplay of factors, including political corruption, economic instability, military defeats, and the gradual erosion of civic virtue, which collectively undermined the empire’s ability to sustain itself.

5: Character Analysis

Topic: “The Complexity of Hamlet in William Shakespeare’s ‘Hamlet'”

Thesis Statement: In William Shakespeare’s ‘Hamlet,’ the titular character’s complexity is revealed through his introspective nature, moral ambiguity, and fluctuating resolve, which collectively illustrate the play’s exploration of existential themes and the human condition.

6: Social Analysis

Topic: “The Impact of Social Media on Modern Communication”

Thesis Statement: Social media has significantly altered modern communication by enabling instantaneous sharing of information and fostering global connectivity, while also contributing to issues such as reduced face-to-face interactions, cyberbullying, and the spread of misinformation.

7: Cultural Analysis

Topic: “Cultural Significance of Traditional Festivals”

Thesis Statement: Traditional festivals play a crucial role in preserving cultural heritage, fostering community identity, and promoting social cohesion, as they provide a platform for the transmission of customs, values, and shared history across generations.

8: Economic Analysis

Topic: “The Effects of Globalization on Local Economies”

Thesis Statement: Globalization has profoundly impacted local economies by enhancing market access, fostering economic growth, and encouraging cultural exchange, but it has also led to job displacement, wage suppression, and the erosion of local industries in some regions.

9: Psychological Analysis

Topic: “Freudian Themes in ‘The Turn of the Screw’ by Henry James”

Thesis Statement: Henry James’s ‘The Turn of the Screw’ can be analyzed through a Freudian lens, where the governess’s experiences and the ambiguous nature of the ghosts reflect deep-seated psychological conflicts, repressed desires, and the complexities of the human psyche.

10: Political Analysis

Topic: “The Effectiveness of the New Deal Programs”

Thesis Statement: The New Deal programs implemented by President Franklin D. Roosevelt were effective in providing immediate relief during the Great Depression, spurring economic recovery, and implementing long-term reforms that reshaped the American social and economic landscape.

Thesis Examples for Compare and Contrast Essay

1: literature.

Topic: “Comparing ‘1984’ by George Orwell and ‘Brave New World’ by Aldous Huxley”

Thesis Statement: While George Orwell’s ‘1984’ presents a dystopian future of totalitarian control through fear and oppression, Aldous Huxley’s ‘Brave New World’ explores a similar theme through a society controlled by pleasure and conditioning, highlighting different methods of societal control and their implications.

Topic: “Public School vs. Private School Education”

Thesis Statement: Public schools offer a diverse social environment and a broad curriculum, whereas private schools provide smaller class sizes and specialized programs, making the choice between the two dependent on individual educational goals and personal preferences.

Topic: “E-books vs. Printed Books”

Thesis Statement: While e-books offer convenience, portability, and interactive features, printed books provide a tactile experience, lack of screen strain, and a sense of nostalgia, demonstrating how each format caters to different reader preferences and needs.

Topic: “Traditional Medicine vs. Modern Medicine”

Thesis Statement: Traditional medicine emphasizes holistic and natural treatments based on centuries-old practices, while modern medicine focuses on scientific research and technological advancements, highlighting the strengths and limitations of each approach in addressing health issues.

5: Social Media

Topic: “Facebook vs. Instagram”

Thesis Statement: Facebook facilitates in-depth social interaction and a wide range of features for communication and information sharing, whereas Instagram focuses on visual content and a streamlined user experience, catering to different user preferences and social engagement styles.

Topic: “Traveling by Plane vs. Traveling by Train”

Thesis Statement: Traveling by plane offers speed and efficiency for long distances, while traveling by train provides scenic views and a more relaxed experience, highlighting the trade-offs between convenience and leisure in different modes of transportation.

7: Economics

Topic: “Capitalism vs. Socialism”

Thesis Statement: Capitalism promotes economic growth and individual entrepreneurship through market competition, whereas socialism emphasizes social welfare and equitable distribution of resources, reflecting contrasting ideologies on economic management and social equity.

8: Literature

Topic: “Shakespeare’s ‘Hamlet’ vs. Sophocles’ ‘Oedipus Rex'”

Thesis Statement: While Shakespeare’s ‘Hamlet’ delves into themes of indecision, revenge, and existential angst, Sophocles’ ‘Oedipus Rex’ explores fate, self-discovery, and the inevitability of destiny, illustrating different approaches to tragedy in Western literature.

9: Lifestyle

Topic: “Urban Living vs. Rural Living”

Thesis Statement: Urban living offers convenience, diverse cultural experiences, and numerous job opportunities, while rural living provides a peaceful environment, close-knit communities, and a connection to nature, demonstrating the contrasting lifestyles and priorities of each setting.

10: History

Topic: “The American Revolution vs. The French Revolution”

Thesis Statement: The American Revolution focused on independence from colonial rule and the establishment of a democratic republic, whereas the French Revolution aimed to overthrow the monarchy and address social inequalities, highlighting different motivations, outcomes, and impacts on world history.

More Thesis Samples & Examples:

1. thesis statements.

2. University Thesis Research

3. Working Thesis

4. Master Thesis

5. Basics About Thesis Statements

6. Thesis Sample

7. Thesis Format

8. Thesis PDF

9. Graduate Students Thesis

10. Thesis Example

Tips for Writing Your Thesis

Start Early

• Begin your thesis process early to allow ample time for research , writing , and revisions.

Choose a Relevant Topic

• Select a topic that interests you and has sufficient research material available. Ensure it is specific enough to be manageable but broad enough to find sources.

Develop a Strong Thesis Statement

• Craft a clear, concise thesis statement that outlines the main argument or focus of your paper. This will guide your research and writing.

Create an Outline

• Plan your thesis structure with a detailed outline. Include sections for the introduction, literature review, methodology, results, discussion, and conclusion.

Conduct Thorough Research

• Use a variety of sources, such as books, journal articles, and credible websites. Take detailed notes and organize your research to support your thesis statement.

Write in Stages

• Break down the writing process into manageable stages. Start with the introduction, move to the literature review, then the methodology, and so on.

Maintain Consistent Formatting

• Follow the required formatting style (e.g., APA, MLA, Chicago) consistently throughout your thesis. Pay attention to citation rules and references.

Seek Feedback

• Regularly consult with your advisor and seek feedback from peers. Incorporate their suggestions to improve your work.

Edit and Revise

• Set aside time for multiple rounds of editing and revising. Check for clarity, coherence, grammar, and spelling errors.

Stay Organized

• Keep all your research materials, notes, and drafts well-organized. Use tools like folders, labels, and reference management software.

Stay Motivated

• Set small, achievable goals and reward yourself for meeting them. Stay positive and remember that writing a thesis is a marathon, not a sprint.

Proofread Thoroughly

• Conduct a final proofread to catch any remaining errors. Consider using grammar checking tools or hiring a professional proofreader.

What to include in a Thesis

Writing a thesis involves several critical sections that contribute to the overall structure and argumentation of the research. Here’s a guide on what to include in a thesis:

1. Title Page

• Title: Clear, concise, and descriptive.
• Author’s Name
• Institutional Affiliation
• Date of Submission
• Advisor’s Name

2. Abstract

• Summary: Brief overview of the research.
• Key Points: Main objectives, methods, results, and conclusions.
• Word Limit: Typically 150-300 words.

3. Table of Contents

• Sections and Subsections: With corresponding page numbers.

4. List of Figures and Tables

• Figures/Tables: Numbered and titled with page numbers.

5. Introduction

• Background: Context of the study.
• Problem Statement: The issue being addressed.
• Objectives: What the research aims to achieve.
• Research Questions/Hypotheses: Specific questions or hypotheses the study will test.
• Significance: Importance of the study.

6. Literature Review

• Overview of Existing Research: Summarize previous studies.
• Theoretical Framework: The theories guiding the research.
• Gaps in Literature: Identify what has not been addressed.

7. Methodology

• Research Design: Type of study (e.g., qualitative, quantitative).
• Participants: Who was involved in the study.
• Data Collection: How data was gathered (e.g., surveys, experiments).
• Data Analysis: Methods used to analyze the data.
• Ethical Considerations: How ethical issues were handled.
• Findings: Present data and key results.
• Visuals: Use tables, graphs, and charts for clarity.
• Statistical Analysis: Include relevant statistical tests.

9. Discussion

• Interpretation of Results: What the findings mean.
• Comparison with Existing Literature: How results align or contrast with previous research.
• Implications: Practical or theoretical implications.
• Limitations: Discuss limitations of the study.
• Future Research: Suggestions for future studies.

10. Conclusion

• Summary of Findings: Recap main findings.
• Restate Importance: Reiterate the study’s significance.
• Final Thoughts: Concluding remarks.

11. References

• Citations: Complete list of all sources cited in the thesis.
• Formatting: Follow a specific citation style (e.g., APA, MLA).

12. Appendices

• Supplementary Material: Additional data, questionnaires, or detailed descriptions.

Thesis vs. Dissertation

How do i know if my thesis is strong, clear and specific thesis statement.

• Precision : Your thesis statement should be clear, specific, and concise. It should articulate the main argument or focus of your thesis.
• Focus : Ensure it directly addresses the research question without being too broad or vague.

Well-Defined Research Question

• Relevance : The research question should be significant to your field of study.
• Feasibility : Make sure it is practical and manageable within the scope of your resources and time frame.

Comprehensive Literature Review

• Depth : Your literature review should cover relevant research and show an understanding of key theories and findings.
• Gaps Identification : Highlight gaps in the existing literature that your thesis aims to fill.

Solid Methodology

• Appropriateness : The chosen methodology should be suitable for answering your research question.
• Detail : Clearly describe your research design, data collection methods, and data analysis procedures.
• Justification : Explain why these methods are the best fit for your study.

Strong Evidence and Analysis

• Support : Provide ample evidence to support your thesis statement and arguments.
• Critical Analysis : Critically analyze the data, showing how it supports or contradicts your hypothesis.
• Consistency : Ensure that all evidence is consistently interpreted and integrated into your argument.

Coherent Structure

• Organization : The thesis should be well-organized with a logical flow of ideas.
• Clarity : Each section should clearly contribute to the overall argument.
• Transitions : Use smooth transitions between sections to maintain coherence.

Original Contribution

• Innovation : Your thesis should offer new insights or findings in your field.
• Significance : Highlight the importance and impact of your research.

Proper Formatting and Style

• Formatting : Follow the required formatting guidelines (APA, MLA, Chicago, etc.) consistently.
• Grammar and Spelling : Proofread your work to ensure it is free from grammatical and spelling errors.
• Citations : Properly cite all sources and provide a comprehensive reference list.

Feedback and Revision

• Advisor Feedback : Regularly seek feedback from your advisor and incorporate their suggestions.
• Peer Review : Get input from peers to identify areas for improvement.
• Multiple Revisions : Be prepared to revise your thesis multiple times to enhance its quality.

Self-Assessment

• Alignment : Ensure that all parts of the thesis align with the thesis statement.
• Completeness : Check that all required sections are included and thoroughly addressed.
• Confidence : Be confident in your arguments and the quality of your research.

How to Make a Thesis

Where do you often begin when you want to make a thesis? Many may say to begin by drafting, to begin by making an outline or to start at the introduction. A lot of these answers may even confuse you and may make you think that making a thesis is difficult or confusing. Stop right there, there are answers to every question, and to show you the  thesis statement writing tips .

Step 1: Make an Outline for the Thesis

Start out by making a  thesis outline . The outline will help you as it acts as the backbone of your entire thesis. Making outlines also help you by giving you a good view of what comes first, what should be added here and what should not be added. Outlining your thesis is often the best way to begin.

Step 2: Start with a Thesis Proposal for Your Thesis Paper

Once you have a blank outline for your thesis, which you will be filling out in order to know what goes first, the next thing to do is to pick a topic or pick a thesis proposal . This is an important part of making your thesis paper. Start with thinking about what kind of thesis proposal you want to talk about.

Step 3: Write Down the Introduction of Your Thesis

Thesis introduction has an important role to play. Its role in your thesis is to give a short summary of what can be expected in your thesis. The introduction of your thesis is all about the topic or the proposal of your thesis. When you write your thesis, make sure that the introduction should be clear and concise. After the introduction, the heart of your thesis will follow.

Step 4: Finalize Your Thesis Paper

Finalizing your thesis paper may take a lot of time and effort. But not to worry. It is always necessary and understandable that finalizing your thesis paper is important. As long as you are making sure that everything that is necessary, the introduction, the proposal, the thesis problem, solution and conclusion are present.

How do I choose a thesis topic?

Choose a topic that interests you, has ample research material, is specific enough to be manageable, and aligns with your academic goals.

How long should my thesis be?

Thesis length varies by discipline and degree level; Master’s theses are usually 50-100 pages, while PhD dissertations can be 100-300+ pages.

What is a thesis statement?

A thesis statement is a concise summary of the main point or claim of your thesis, guiding your research and writing.

How do I structure my thesis?

A typical thesis structure includes a title page, abstract, table of contents, introduction, literature review, methodology, results, discussion, conclusion, and references.

How important is the literature review?

The literature review is crucial as it contextualizes your research, highlights gaps, and demonstrates your understanding of existing scholarship.

What is the difference between a thesis and a dissertation?

A thesis is usually for a Master’s degree and demonstrates mastery of a topic, while a dissertation for a PhD contributes new knowledge to the field.

How do I manage my time effectively while writing my thesis?

Create a detailed timeline, break the process into manageable tasks, set deadlines, and regularly consult with your advisor.

How do I ensure my thesis is original?

Conduct thorough research, properly cite sources, use plagiarism detection tools, and contribute unique insights or findings to your field.

What should I do if I encounter writer’s block?

Take breaks, set small writing goals, change your environment, seek feedback, and stay connected with your advisor for guidance and support.

Text prompt

• Instructive
• Professional

10 Examples of Public speaking

20 Examples of Gas lighting

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Home » Research Gap – Types, Examples and How to Identify

Research Gap – Types, Examples and How to Identify

Table of Contents

Research Gap

Definition:

Research gap refers to an area or topic within a field of study that has not yet been extensively researched or is yet to be explored. It is a question, problem or issue that has not been addressed or resolved by previous research.

How to Identify Research Gap

Identifying a research gap is an essential step in conducting research that adds value and contributes to the existing body of knowledge. Research gap requires critical thinking, creativity, and a thorough understanding of the existing literature . It is an iterative process that may require revisiting and refining your research questions and ideas multiple times.

Here are some steps that can help you identify a research gap:

• Review existing literature: Conduct a thorough review of the existing literature in your research area. This will help you identify what has already been studied and what gaps still exist.
• Identify a research problem: Identify a specific research problem or question that you want to address.
• Analyze existing research: Analyze the existing research related to your research problem. This will help you identify areas that have not been studied, inconsistencies in the findings, or limitations of the previous research.
• Brainstorm potential research ideas : Based on your analysis, brainstorm potential research ideas that address the identified gaps.
• Consult with experts: Consult with experts in your research area to get their opinions on potential research ideas and to identify any additional gaps that you may have missed.
• Refine research questions: Refine your research questions and hypotheses based on the identified gaps and potential research ideas.
• Develop a research proposal: Develop a research proposal that outlines your research questions, objectives, and methods to address the identified research gap.

Types of Research Gap

There are different types of research gaps that can be identified, and each type is associated with a specific situation or problem. Here are the main types of research gaps and their explanations:

Theoretical Gap

This type of research gap refers to a lack of theoretical understanding or knowledge in a particular area. It can occur when there is a discrepancy between existing theories and empirical evidence or when there is no theory that can explain a particular phenomenon. Identifying theoretical gaps can lead to the development of new theories or the refinement of existing ones.

Empirical Gap

An empirical gap occurs when there is a lack of empirical evidence or data in a particular area. It can happen when there is a lack of research on a specific topic or when existing research is inadequate or inconclusive. Identifying empirical gaps can lead to the development of new research studies to collect data or the refinement of existing research methods to improve the quality of data collected.

Methodological Gap

This type of research gap refers to a lack of appropriate research methods or techniques to answer a research question. It can occur when existing methods are inadequate, outdated, or inappropriate for the research question. Identifying methodological gaps can lead to the development of new research methods or the modification of existing ones to better address the research question.

Practical Gap

A practical gap occurs when there is a lack of practical applications or implementation of research findings. It can occur when research findings are not implemented due to financial, political, or social constraints. Identifying practical gaps can lead to the development of strategies for the effective implementation of research findings in practice.

Knowledge Gap

This type of research gap occurs when there is a lack of knowledge or information on a particular topic. It can happen when a new area of research is emerging, or when research is conducted in a different context or population. Identifying knowledge gaps can lead to the development of new research studies or the extension of existing research to fill the gap.

Examples of Research Gap

Here are some examples of research gaps that researchers might identify:

• Theoretical Gap Example : In the field of psychology, there might be a theoretical gap related to the lack of understanding of the relationship between social media use and mental health. Although there is existing research on the topic, there might be a lack of consensus on the mechanisms that link social media use to mental health outcomes.
• Empirical Gap Example : In the field of environmental science, there might be an empirical gap related to the lack of data on the long-term effects of climate change on biodiversity in specific regions. Although there might be some studies on the topic, there might be a lack of data on the long-term effects of climate change on specific species or ecosystems.
• Methodological Gap Example : In the field of education, there might be a methodological gap related to the lack of appropriate research methods to assess the impact of online learning on student outcomes. Although there might be some studies on the topic, existing research methods might not be appropriate to assess the complex relationships between online learning and student outcomes.
• Practical Gap Example: In the field of healthcare, there might be a practical gap related to the lack of effective strategies to implement evidence-based practices in clinical settings. Although there might be existing research on the effectiveness of certain practices, they might not be implemented in practice due to various barriers, such as financial constraints or lack of resources.
• Knowledge Gap Example: In the field of anthropology, there might be a knowledge gap related to the lack of understanding of the cultural practices of indigenous communities in certain regions. Although there might be some research on the topic, there might be a lack of knowledge about specific cultural practices or beliefs that are unique to those communities.

Examples of Research Gap In Literature Review, Thesis, and Research Paper might be:

• Literature review : A literature review on the topic of machine learning and healthcare might identify a research gap in the lack of studies that investigate the use of machine learning for early detection of rare diseases.
• Thesis : A thesis on the topic of cybersecurity might identify a research gap in the lack of studies that investigate the effectiveness of artificial intelligence in detecting and preventing cyber attacks.
• Research paper : A research paper on the topic of natural language processing might identify a research gap in the lack of studies that investigate the use of natural language processing techniques for sentiment analysis in non-English languages.

How to Write Research Gap

By following these steps, you can effectively write about research gaps in your paper and clearly articulate the contribution that your study will make to the existing body of knowledge.

Here are some steps to follow when writing about research gaps in your paper:

• Identify the research question : Before writing about research gaps, you need to identify your research question or problem. This will help you to understand the scope of your research and identify areas where additional research is needed.
• Review the literature: Conduct a thorough review of the literature related to your research question. This will help you to identify the current state of knowledge in the field and the gaps that exist.
• Identify the research gap: Based on your review of the literature, identify the specific research gap that your study will address. This could be a theoretical, empirical, methodological, practical, or knowledge gap.
• Provide evidence: Provide evidence to support your claim that the research gap exists. This could include a summary of the existing literature, a discussion of the limitations of previous studies, or an analysis of the current state of knowledge in the field.
• Explain the importance: Explain why it is important to fill the research gap. This could include a discussion of the potential implications of filling the gap, the significance of the research for the field, or the potential benefits to society.
• State your research objectives: State your research objectives, which should be aligned with the research gap you have identified. This will help you to clearly articulate the purpose of your study and how it will address the research gap.

Importance of Research Gap

The importance of research gaps can be summarized as follows:

• Advancing knowledge: Identifying research gaps is crucial for advancing knowledge in a particular field. By identifying areas where additional research is needed, researchers can fill gaps in the existing body of knowledge and contribute to the development of new theories and practices.
• Guiding research: Research gaps can guide researchers in designing studies that fill those gaps. By identifying research gaps, researchers can develop research questions and objectives that are aligned with the needs of the field and contribute to the development of new knowledge.
• Enhancing research quality: By identifying research gaps, researchers can avoid duplicating previous research and instead focus on developing innovative research that fills gaps in the existing body of knowledge. This can lead to more impactful research and higher-quality research outputs.
• Informing policy and practice: Research gaps can inform policy and practice by highlighting areas where additional research is needed to inform decision-making. By filling research gaps, researchers can provide evidence-based recommendations that have the potential to improve policy and practice in a particular field.

Applications of Research Gap

Here are some potential applications of research gap:

• Informing research priorities: Research gaps can help guide research funding agencies and researchers to prioritize research areas that require more attention and resources.
• Identifying practical implications: Identifying gaps in knowledge can help identify practical applications of research that are still unexplored or underdeveloped.
• Stimulating innovation: Research gaps can encourage innovation and the development of new approaches or methodologies to address unexplored areas.
• Improving policy-making: Research gaps can inform policy-making decisions by highlighting areas where more research is needed to make informed policy decisions.
• Enhancing academic discourse: Research gaps can lead to new and constructive debates and discussions within academic communities, leading to more robust and comprehensive research.

Advantages of Research Gap

Here are some of the advantages of research gap:

• Identifies new research opportunities: Identifying research gaps can help researchers identify areas that require further exploration, which can lead to new research opportunities.
• Improves the quality of research: By identifying gaps in current research, researchers can focus their efforts on addressing unanswered questions, which can improve the overall quality of research.
• Enhances the relevance of research: Research that addresses existing gaps can have significant implications for the development of theories, policies, and practices, and can therefore increase the relevance and impact of research.
• Helps avoid duplication of effort: Identifying existing research can help researchers avoid duplicating efforts, saving time and resources.
• Helps to refine research questions: Research gaps can help researchers refine their research questions, making them more focused and relevant to the needs of the field.
• Promotes collaboration: By identifying areas of research that require further investigation, researchers can collaborate with others to conduct research that addresses these gaps, which can lead to more comprehensive and impactful research outcomes.

Disadvantages of Research Gap

While research gaps can be advantageous, there are also some potential disadvantages that should be considered:

• Difficulty in identifying gaps: Identifying gaps in existing research can be challenging, particularly in fields where there is a large volume of research or where research findings are scattered across different disciplines.
• Lack of funding: Addressing research gaps may require significant resources, and researchers may struggle to secure funding for their work if it is perceived as too risky or uncertain.
• Time-consuming: Conducting research to address gaps can be time-consuming, particularly if the research involves collecting new data or developing new methods.
• Risk of oversimplification: Addressing research gaps may require researchers to simplify complex problems, which can lead to oversimplification and a failure to capture the complexity of the issues.
• Bias : Identifying research gaps can be influenced by researchers’ personal biases or perspectives, which can lead to a skewed understanding of the field.
• Potential for disagreement: Identifying research gaps can be subjective, and different researchers may have different views on what constitutes a gap in the field, leading to disagreements and debate.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Effects of exogenous enzymes on dietary nutrient digestibility for broiler chickens and growing pigs

The objective of the experiments conducted for this dissertation was to investigate the effects of exogenous enzymes on nutrient digestibility for broiler chickens and growing pigs. These experiments covered the effects of phytase, protease, and carbohydrases on the nutrient availability of various diet types and ingredients, as well as evaluations of regression methods for determining ingredient energy values. One study investigated a factorial of phytase and dietary phytate levels on the ileal digestibility of amino acids (AA) and phosphorus (P) for broilers and pigs. The results of these experiments indicated that phytase improved the ileal digestibility of P (P < 0.05) and all AA (P < 0.05) for broilers regardless of the dietary phytate level, and the ileal digestibility of P (P < 0.05) and many economically important AA (P < 0.05) for pigs. This study did not reveal any significant interactions between phytase and dietary phytate, but there were a number of numerical differences in the relative effect of phytase in the two diet types. In a subsequent experiment the effects of a factorial of phytase and protease on ileal P and AA digestibility were evaluated for growing pigs. Similarly to the first study, phytase was shown to improve the ileal digestibility of P (P < 0.05) and a majority of AA (P < 0.05). There were limited main effects of protease, however, it was found to decrease the digestibility of Lys, Met, and Thr (P < 0.05). There were a number of significant quadratic interactions (P < 0.05) of protease within phytase level, where the necessary concentration of protease to elicit positive effects was dependent on phytase inclusion. The next study evaluated the effects of two carbohydrase blends on the ileal AA digestibility and energy values of soybean meal. Both enzyme blends elicited modest improvements in the ileal and total tract digestibility of energy, but there were limited effects on the energy values of the test diets. Both enzyme blends improved the apparent metabolizable energy of soybean meal, but the blend with lower activity and no protease inclusion produced the greater results with an improvement of 15.2%. These enzyme blends resulted in the improved ileal digestibility of nearly all AA from soybean meal for broilers. The last study was a validation of the three-point model for the regression method against a four-point model over both the same test ingredient inclusion range or smaller range. This evaluation used both canola meal and wheat as test ingredients to evaluate if changes in dietary energy or protein levels affect the results of this method, which are representative of both cereal grains and protein concentrates, respectively. The results indicated that there was no difference in the three and four-point models for either ingredient as long as the overall range of test ingredient concentration was the same in both models. This proved more important for canola meal, as it was more susceptible to problems with the estimates or variability based on changes in inclusion. Based on the results of these experiments, it is clear that phytase can improve the AA digestibility for both pigs and chickens, but care must be taken when combinations are made with protease. These data indicate that the use of carbohydrase blends can improve the nutrient availability of soybean meal, and this could have significant implications in diet formulation. Lastly, the use of the three-point model for the regression method is appropriate, but is dependent on the inclusion level of the test ingredient test ingredient.

Degree Type

• Doctor of Philosophy
• Animal Sciences

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Additional committee member 2, additional committee member 3, additional committee member 4, usage metrics.

• Animal nutrition