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50 Useful Academic Words & Phrases for Research

Like all good writing, writing an academic paper takes a certain level of skill to express your ideas and arguments in a way that is natural and that meets a level of academic sophistication. The terms, expressions, and phrases you use in your research paper must be of an appropriate level to be submitted to academic journals.

Therefore, authors need to know which verbs , nouns , and phrases to apply to create a paper that is not only easy to understand, but which conveys an understanding of academic conventions. Using the correct terminology and usage shows journal editors and fellow researchers that you are a competent writer and thinker, while using non-academic language might make them question your writing ability, as well as your critical reasoning skills.

What are academic words and phrases?

One way to understand what constitutes good academic writing is to read a lot of published research to find patterns of usage in different contexts. However, it may take an author countless hours of reading and might not be the most helpful advice when faced with an upcoming deadline on a manuscript draft.

Briefly, “academic” language includes terms, phrases, expressions, transitions, and sometimes symbols and abbreviations that help the pieces of an academic text fit together. When writing an academic text–whether it is a book report, annotated bibliography, research paper, research poster, lab report, research proposal, thesis, or manuscript for publication–authors must follow academic writing conventions. You can often find handy academic writing tips and guidelines by consulting the style manual of the text you are writing (i.e., APA Style , MLA Style , or Chicago Style ).

However, sometimes it can be helpful to have a list of academic words and expressions like the ones in this article to use as a “cheat sheet” for substituting the better term in a given context.

How to Choose the Best Academic Terms

You can think of writing “academically” as writing in a way that conveys one’s meaning effectively but concisely. For instance, while the term “take a look at” is a perfectly fine way to express an action in everyday English, a term like “analyze” would certainly be more suitable in most academic contexts. It takes up fewer words on the page and is used much more often in published academic papers.

You can use one handy guideline when choosing the most academic term: When faced with a choice between two different terms, use the Latinate version of the term. Here is a brief list of common verbs versus their academic counterparts:

Although this can be a useful tip to help academic authors, it can be difficult to memorize dozens of Latinate verbs. Using an AI paraphrasing tool or proofreading tool can help you instantly find more appropriate academic terms, so consider using such revision tools while you draft to improve your writing.

Top 50 Words and Phrases for Different Sections in a Research Paper

The “Latinate verb rule” is just one tool in your arsenal of academic writing, and there are many more out there. But to make the process of finding academic language a bit easier for you, we have compiled a list of 50 vital academic words and phrases, divided into specific categories and use cases, each with an explanation and contextual example.

Best Words and Phrases to use in an Introduction section

1. historically.

An adverb used to indicate a time perspective, especially when describing the background of a given topic.

2. In recent years

A temporal marker emphasizing recent developments, often used at the very beginning of your Introduction section.

3. It is widely acknowledged that

A “form phrase” indicating a broad consensus among researchers and/or the general public. Often used in the literature review section to build upon a foundation of established scientific knowledge.

4. There has been growing interest in

Highlights increasing attention to a topic and tells the reader why your study might be important to this field of research.

5. Preliminary observations indicate

Shares early insights or findings while hedging on making any definitive conclusions. Modal verbs like may , might , and could are often used with this expression.

6. This study aims to

Describes the goal of the research and is a form phrase very often used in the research objective or even the hypothesis of a research paper .

7. Despite its significance

Highlights the importance of a matter that might be overlooked. It is also frequently used in the rationale of the study section to show how your study’s aim and scope build on previous studies.

8. While numerous studies have focused on

Indicates the existing body of work on a topic while pointing to the shortcomings of certain aspects of that research. Helps focus the reader on the question, “What is missing from our knowledge of this topic?” This is often used alongside the statement of the problem in research papers.

9. The purpose of this research is

A form phrase that directly states the aim of the study.

10. The question arises (about/whether)

Poses a query or research problem statement for the reader to acknowledge.

Best Words and Phrases for Clarifying Information

11. in other words.

Introduces a synopsis or the rephrasing of a statement for clarity. This is often used in the Discussion section statement to explain the implications of the study .

12. That is to say

Provides clarification, similar to “in other words.”

13. To put it simply

Simplifies a complex idea, often for a more general readership.

14. To clarify

Specifically indicates to the reader a direct elaboration of a previous point.

15. More specifically

Narrows down a general statement from a broader one. Often used in the Discussion section to clarify the meaning of a specific result.

16. To elaborate

Expands on a point made previously.

17. In detail

Indicates a deeper dive into information.

Points out specifics. Similar meaning to “specifically” or “especially.”

19. This means that

Explains implications and/or interprets the meaning of the Results section .

20. Moreover

Expands a prior point to a broader one that shows the greater context or wider argument.

Best Words and Phrases for Giving Examples

21. for instance.

Provides a specific case that fits into the point being made.

22. As an illustration

Demonstrates a point in full or in part.

23. To illustrate

Shows a clear picture of the point being made.

24. For example

Presents a particular instance. Same meaning as “for instance.”

25. Such as

Lists specifics that comprise a broader category or assertion being made.

26. Including

Offers examples as part of a larger list.

27. Notably

Adverb highlighting an important example. Similar meaning to “especially.”

28. Especially

Adverb that emphasizes a significant instance.

29. In particular

Draws attention to a specific point.

30. To name a few

Indicates examples than previously mentioned are about to be named.

Best Words and Phrases for Comparing and Contrasting

31. however.

Introduces a contrasting idea.

32. On the other hand

Highlights an alternative view or fact.

33. Conversely

Indicates an opposing or reversed idea to the one just mentioned.

34. Similarly

Shows likeness or parallels between two ideas, objects, or situations.

35. Likewise

Indicates agreement with a previous point.

36. In contrast

Draws a distinction between two points.

37. Nevertheless

Introduces a contrasting point, despite what has been said.

38. Whereas

Compares two distinct entities or ideas.

Indicates a contrast between two points.

Signals an unexpected contrast.

Best Words and Phrases to use in a Conclusion section

41. in conclusion.

Signifies the beginning of the closing argument.

42. To sum up

Offers a brief summary.

43. In summary

Signals a concise recap.

44. Ultimately

Reflects the final or main point.

45. Overall

Gives a general concluding statement.

Indicates a resulting conclusion.

Demonstrates a logical conclusion.

48. Therefore

Connects a cause and its effect.

49. It can be concluded that

Clearly states a conclusion derived from the data.

50. Taking everything into consideration

Reflects on all the discussed points before concluding.

Edit Your Research Terms and Phrases Before Submission

Using these phrases in the proper places in your research papers can enhance the clarity, flow, and persuasiveness of your writing, especially in the Introduction section and Discussion section, which together make up the majority of your paper’s text in most academic domains.

However, it's vital to ensure each phrase is contextually appropriate to avoid redundancy or misinterpretation. As mentioned at the top of this article, the best way to do this is to 1) use an AI text editor , free AI paraphrasing tool or AI proofreading tool while you draft to enhance your writing, and 2) consult a professional proofreading service like Wordvice, which has human editors well versed in the terminology and conventions of the specific subject area of your academic documents.

For more detailed information on using AI tools to write a research paper and the best AI tools for research , check out the Wordvice AI Blog .

Academic Phrasebank

• GENERAL LANGUAGE FUNCTIONS
• Being cautious
• Being critical
• Classifying and listing
• Compare and contrast
• Defining terms
• Describing trends
• Describing quantities
• Explaining causality
• Giving examples
• Signalling transition
• Writing about the past

The Academic Phrasebank is a general resource for academic writers. It aims to provide you with examples of some of the phraseological ‘nuts and bolts’ of writing organised according to the main sections of a research paper or dissertation (see the top menu ). Other phrases are listed under the more general communicative functions of academic writing (see the menu on the left). The resource should be particularly useful for writers who need to report their research work. The phrases, and the headings under which they are listed, can be used simply to assist you in thinking about the content and organisation of your own writing, or the phrases can be incorporated into your writing where this is appropriate. In most cases, a certain amount of creativity and adaptation will be necessary when a phrase is used. The items in the Academic Phrasebank are mostly content neutral and generic in nature; in using them, therefore, you are not stealing other people’s ideas and this does not constitute plagiarism. For some of the entries, specific content words have been included for illustrative purposes, and these should be substituted when the phrases are used. The resource was designed primarily for academic and scientific writers who are non-native speakers of English. However, native speaker writers may still find much of the material helpful. In fact, recent data suggest that the majority of users are native speakers of English. More about  Academic Phrasebank .

This site was created by  John Morley .  

Academic Phrasebank is the Intellectual Property of the University of Manchester.

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This glossary is intended to assist you in understanding commonly used terms and concepts when reading, interpreting, and evaluating scholarly research. Also included are common words and phrases defined within the context of how they apply to research in the social and behavioral sciences.

• Acculturation -- refers to the process of adapting to another culture, particularly in reference to blending in with the majority population [e.g., an immigrant adopting American customs]. However, acculturation also implies that both cultures add something to one another, but still remain distinct groups unto themselves.
• Accuracy -- a term used in survey research to refer to the match between the target population and the sample.
• Affective Measures -- procedures or devices used to obtain quantified descriptions of an individual's feelings, emotional states, or dispositions.
• Aggregate -- a total created from smaller units. For instance, the population of a county is an aggregate of the populations of the cities, rural areas, etc. that comprise the county. As a verb, it refers to total data from smaller units into a large unit.
• Anonymity -- a research condition in which no one, including the researcher, knows the identities of research participants.
• Baseline -- a control measurement carried out before an experimental treatment.
• Behaviorism -- school of psychological thought concerned with the observable, tangible, objective facts of behavior, rather than with subjective phenomena such as thoughts, emotions, or impulses. Contemporary behaviorism also emphasizes the study of mental states such as feelings and fantasies to the extent that they can be directly observed and measured.
• Beliefs -- ideas, doctrines, tenets, etc. that are accepted as true on grounds which are not immediately susceptible to rigorous proof.
• Benchmarking -- systematically measuring and comparing the operations and outcomes of organizations, systems, processes, etc., against agreed upon "best-in-class" frames of reference.
• Bias -- a loss of balance and accuracy in the use of research methods. It can appear in research via the sampling frame, random sampling, or non-response. It can also occur at other stages in research, such as while interviewing, in the design of questions, or in the way data are analyzed and presented. Bias means that the research findings will not be representative of, or generalizable to, a wider population.
• Case Study -- the collection and presentation of detailed information about a particular participant or small group, frequently including data derived from the subjects themselves.
• Causal Hypothesis -- a statement hypothesizing that the independent variable affects the dependent variable in some way.
• Causal Relationship -- the relationship established that shows that an independent variable, and nothing else, causes a change in a dependent variable. It also establishes how much of a change is shown in the dependent variable.
• Causality -- the relation between cause and effect.
• Central Tendency -- any way of describing or characterizing typical, average, or common values in some distribution.
• Chi-square Analysis -- a common non-parametric statistical test which compares an expected proportion or ratio to an actual proportion or ratio.
• Claim -- a statement, similar to a hypothesis, which is made in response to the research question and that is affirmed with evidence based on research.
• Classification -- ordering of related phenomena into categories, groups, or systems according to characteristics or attributes.
• Cluster Analysis -- a method of statistical analysis where data that share a common trait are grouped together. The data is collected in a way that allows the data collector to group data according to certain characteristics.
• Cohort Analysis -- group by group analytic treatment of individuals having a statistical factor in common to each group. Group members share a particular characteristic [e.g., born in a given year] or a common experience [e.g., entering a college at a given time].
• Confidentiality -- a research condition in which no one except the researcher(s) knows the identities of the participants in a study. It refers to the treatment of information that a participant has disclosed to the researcher in a relationship of trust and with the expectation that it will not be revealed to others in ways that violate the original consent agreement, unless permission is granted by the participant.
• Confirmability Objectivity -- the findings of the study could be confirmed by another person conducting the same study.
• Construct -- refers to any of the following: something that exists theoretically but is not directly observable; a concept developed [constructed] for describing relations among phenomena or for other research purposes; or, a theoretical definition in which concepts are defined in terms of other concepts. For example, intelligence cannot be directly observed or measured; it is a construct.
• Construct Validity -- seeks an agreement between a theoretical concept and a specific measuring device, such as observation.
• Constructivism -- the idea that reality is socially constructed. It is the view that reality cannot be understood outside of the way humans interact and that the idea that knowledge is constructed, not discovered. Constructivists believe that learning is more active and self-directed than either behaviorism or cognitive theory would postulate.
• Content Analysis -- the systematic, objective, and quantitative description of the manifest or latent content of print or nonprint communications.
• Context Sensitivity -- awareness by a qualitative researcher of factors such as values and beliefs that influence cultural behaviors.
• Control Group -- the group in an experimental design that receives either no treatment or a different treatment from the experimental group. This group can thus be compared to the experimental group.
• Controlled Experiment -- an experimental design with two or more randomly selected groups [an experimental group and control group] in which the researcher controls or introduces the independent variable and measures the dependent variable at least two times [pre- and post-test measurements].
• Correlation -- a common statistical analysis, usually abbreviated as r, that measures the degree of relationship between pairs of interval variables in a sample. The range of correlation is from -1.00 to zero to +1.00. Also, a non-cause and effect relationship between two variables.
• Covariate -- a product of the correlation of two related variables times their standard deviations. Used in true experiments to measure the difference of treatment between them.
• Credibility -- a researcher's ability to demonstrate that the object of a study is accurately identified and described based on the way in which the study was conducted.
• Critical Theory -- an evaluative approach to social science research, associated with Germany's neo-Marxist “Frankfurt School,” that aims to criticize as well as analyze society, opposing the political orthodoxy of modern communism. Its goal is to promote human emancipatory forces and to expose ideas and systems that impede them.
• Data -- factual information [as measurements or statistics] used as a basis for reasoning, discussion, or calculation.
• Data Mining -- the process of analyzing data from different perspectives and summarizing it into useful information, often to discover patterns and/or systematic relationships among variables.
• Data Quality -- this is the degree to which the collected data [results of measurement or observation] meet the standards of quality to be considered valid [trustworthy] and  reliable [dependable].
• Deductive -- a form of reasoning in which conclusions are formulated about particulars from general or universal premises.
• Dependability -- being able to account for changes in the design of the study and the changing conditions surrounding what was studied.
• Dependent Variable -- a variable that varies due, at least in part, to the impact of the independent variable. In other words, its value “depends” on the value of the independent variable. For example, in the variables “gender” and “academic major,” academic major is the dependent variable, meaning that your major cannot determine whether you are male or female, but your gender might indirectly lead you to favor one major over another.
• Deviation -- the distance between the mean and a particular data point in a given distribution.
• Discourse Community -- a community of scholars and researchers in a given field who respond to and communicate to each other through published articles in the community's journals and presentations at conventions. All members of the discourse community adhere to certain conventions for the presentation of their theories and research.
• Discrete Variable -- a variable that is measured solely in whole units, such as, gender and number of siblings.
• Distribution -- the range of values of a particular variable.
• Effect Size -- the amount of change in a dependent variable that can be attributed to manipulations of the independent variable. A large effect size exists when the value of the dependent variable is strongly influenced by the independent variable. It is the mean difference on a variable between experimental and control groups divided by the standard deviation on that variable of the pooled groups or of the control group alone.
• Emancipatory Research -- research is conducted on and with people from marginalized groups or communities. It is led by a researcher or research team who is either an indigenous or external insider; is interpreted within intellectual frameworks of that group; and, is conducted largely for the purpose of empowering members of that community and improving services for them. It also engages members of the community as co-constructors or validators of knowledge.
• Empirical Research -- the process of developing systematized knowledge gained from observations that are formulated to support insights and generalizations about the phenomena being researched.
• Epistemology -- concerns knowledge construction; asks what constitutes knowledge and how knowledge is validated.
• Ethnography -- method to study groups and/or cultures over a period of time. The goal of this type of research is to comprehend the particular group/culture through immersion into the culture or group. Research is completed through various methods but, since the researcher is immersed within the group for an extended period of time, more detailed information is usually collected during the research.
• Expectancy Effect -- any unconscious or conscious cues that convey to the participant in a study how the researcher wants them to respond. Expecting someone to behave in a particular way has been shown to promote the expected behavior. Expectancy effects can be minimized by using standardized interactions with subjects, automated data-gathering methods, and double blind protocols.
• External Validity -- the extent to which the results of a study are generalizable or transferable.
• Factor Analysis -- a statistical test that explores relationships among data. The test explores which variables in a data set are most related to each other. In a carefully constructed survey, for example, factor analysis can yield information on patterns of responses, not simply data on a single response. Larger tendencies may then be interpreted, indicating behavior trends rather than simply responses to specific questions.
• Field Studies -- academic or other investigative studies undertaken in a natural setting, rather than in laboratories, classrooms, or other structured environments.
• Focus Groups -- small, roundtable discussion groups charged with examining specific topics or problems, including possible options or solutions. Focus groups usually consist of 4-12 participants, guided by moderators to keep the discussion flowing and to collect and report the results.
• Framework -- the structure and support that may be used as both the launching point and the on-going guidelines for investigating a research problem.
• Generalizability -- the extent to which research findings and conclusions conducted on a specific study to groups or situations can be applied to the population at large.
• Grey Literature -- research produced by organizations outside of commercial and academic publishing that publish materials, such as, working papers, research reports, and briefing papers.
• Grounded Theory -- practice of developing other theories that emerge from observing a group. Theories are grounded in the group's observable experiences, but researchers add their own insight into why those experiences exist.
• Group Behavior -- behaviors of a group as a whole, as well as the behavior of an individual as influenced by his or her membership in a group.
• Hypothesis -- a tentative explanation based on theory to predict a causal relationship between variables.
• Independent Variable -- the conditions of an experiment that are systematically manipulated by the researcher. A variable that is not impacted by the dependent variable, and that itself impacts the dependent variable. In the earlier example of "gender" and "academic major," (see Dependent Variable) gender is the independent variable.
• Individualism -- a theory or policy having primary regard for the liberty, rights, or independent actions of individuals.
• Inductive -- a form of reasoning in which a generalized conclusion is formulated from particular instances.
• Inductive Analysis -- a form of analysis based on inductive reasoning; a researcher using inductive analysis starts with answers, but formulates questions throughout the research process.
• Insiderness -- a concept in qualitative research that refers to the degree to which a researcher has access to and an understanding of persons, places, or things within a group or community based on being a member of that group or community.
• Internal Consistency -- the extent to which all questions or items assess the same characteristic, skill, or quality.
• Internal Validity -- the rigor with which the study was conducted [e.g., the study's design, the care taken to conduct measurements, and decisions concerning what was and was not measured]. It is also the extent to which the designers of a study have taken into account alternative explanations for any causal relationships they explore. In studies that do not explore causal relationships, only the first of these definitions should be considered when assessing internal validity.
• Life History -- a record of an event/events in a respondent's life told [written down, but increasingly audio or video recorded] by the respondent from his/her own perspective in his/her own words. A life history is different from a "research story" in that it covers a longer time span, perhaps a complete life, or a significant period in a life.
• Margin of Error -- the permittable or acceptable deviation from the target or a specific value. The allowance for slight error or miscalculation or changing circumstances in a study.
• Measurement -- process of obtaining a numerical description of the extent to which persons, organizations, or things possess specified characteristics.
• Meta-Analysis -- an analysis combining the results of several studies that address a set of related hypotheses.
• Methodology -- a theory or analysis of how research does and should proceed.
• Methods -- systematic approaches to the conduct of an operation or process. It includes steps of procedure, application of techniques, systems of reasoning or analysis, and the modes of inquiry employed by a discipline.
• Mixed-Methods -- a research approach that uses two or more methods from both the quantitative and qualitative research categories. It is also referred to as blended methods, combined methods, or methodological triangulation.
• Modeling -- the creation of a physical or computer analogy to understand a particular phenomenon. Modeling helps in estimating the relative magnitude of various factors involved in a phenomenon. A successful model can be shown to account for unexpected behavior that has been observed, to predict certain behaviors, which can then be tested experimentally, and to demonstrate that a given theory cannot account for certain phenomenon.
• Models -- representations of objects, principles, processes, or ideas often used for imitation or emulation.
• Naturalistic Observation -- observation of behaviors and events in natural settings without experimental manipulation or other forms of interference.
• Norm -- the norm in statistics is the average or usual performance. For example, students usually complete their high school graduation requirements when they are 18 years old. Even though some students graduate when they are younger or older, the norm is that any given student will graduate when he or she is 18 years old.
• Null Hypothesis -- the proposition, to be tested statistically, that the experimental intervention has "no effect," meaning that the treatment and control groups will not differ as a result of the intervention. Investigators usually hope that the data will demonstrate some effect from the intervention, thus allowing the investigator to reject the null hypothesis.
• Ontology -- a discipline of philosophy that explores the science of what is, the kinds and structures of objects, properties, events, processes, and relations in every area of reality.
• Panel Study -- a longitudinal study in which a group of individuals is interviewed at intervals over a period of time.
• Participant -- individuals whose physiological and/or behavioral characteristics and responses are the object of study in a research project.
• Peer-Review -- the process in which the author of a book, article, or other type of publication submits his or her work to experts in the field for critical evaluation, usually prior to publication. This is standard procedure in publishing scholarly research.
• Phenomenology -- a qualitative research approach concerned with understanding certain group behaviors from that group's point of view.
• Philosophy -- critical examination of the grounds for fundamental beliefs and analysis of the basic concepts, doctrines, or practices that express such beliefs.
• Phonology -- the study of the ways in which speech sounds form systems and patterns in language.
• Policy -- governing principles that serve as guidelines or rules for decision making and action in a given area.
• Policy Analysis -- systematic study of the nature, rationale, cost, impact, effectiveness, implications, etc., of existing or alternative policies, using the theories and methodologies of relevant social science disciplines.
• Population -- the target group under investigation. The population is the entire set under consideration. Samples are drawn from populations.
• Position Papers -- statements of official or organizational viewpoints, often recommending a particular course of action or response to a situation.
• Positivism -- a doctrine in the philosophy of science, positivism argues that science can only deal with observable entities known directly to experience. The positivist aims to construct general laws, or theories, which express relationships between phenomena. Observation and experiment is used to show whether the phenomena fit the theory.
• Predictive Measurement -- use of tests, inventories, or other measures to determine or estimate future events, conditions, outcomes, or trends.
• Principal Investigator -- the scientist or scholar with primary responsibility for the design and conduct of a research project.
• Probability -- the chance that a phenomenon will occur randomly. As a statistical measure, it is shown as p [the "p" factor].
• Questionnaire -- structured sets of questions on specified subjects that are used to gather information, attitudes, or opinions.
• Random Sampling -- a process used in research to draw a sample of a population strictly by chance, yielding no discernible pattern beyond chance. Random sampling can be accomplished by first numbering the population, then selecting the sample according to a table of random numbers or using a random-number computer generator. The sample is said to be random because there is no regular or discernible pattern or order. Random sample selection is used under the assumption that sufficiently large samples assigned randomly will exhibit a distribution comparable to that of the population from which the sample is drawn. The random assignment of participants increases the probability that differences observed between participant groups are the result of the experimental intervention.
• Reliability -- the degree to which a measure yields consistent results. If the measuring instrument [e.g., survey] is reliable, then administering it to similar groups would yield similar results. Reliability is a prerequisite for validity. An unreliable indicator cannot produce trustworthy results.
• Representative Sample -- sample in which the participants closely match the characteristics of the population, and thus, all segments of the population are represented in the sample. A representative sample allows results to be generalized from the sample to the population.
• Rigor -- degree to which research methods are scrupulously and meticulously carried out in order to recognize important influences occurring in an experimental study.
• Sample -- the population researched in a particular study. Usually, attempts are made to select a "sample population" that is considered representative of groups of people to whom results will be generalized or transferred. In studies that use inferential statistics to analyze results or which are designed to be generalizable, sample size is critical, generally the larger the number in the sample, the higher the likelihood of a representative distribution of the population.
• Sampling Error -- the degree to which the results from the sample deviate from those that would be obtained from the entire population, because of random error in the selection of respondent and the corresponding reduction in reliability.
• Saturation -- a situation in which data analysis begins to reveal repetition and redundancy and when new data tend to confirm existing findings rather than expand upon them.
• Semantics -- the relationship between symbols and meaning in a linguistic system. Also, the cuing system that connects what is written in the text to what is stored in the reader's prior knowledge.
• Social Theories -- theories about the structure, organization, and functioning of human societies.
• Sociolinguistics -- the study of language in society and, more specifically, the study of language varieties, their functions, and their speakers.
• Standard Deviation -- a measure of variation that indicates the typical distance between the scores of a distribution and the mean; it is determined by taking the square root of the average of the squared deviations in a given distribution. It can be used to indicate the proportion of data within certain ranges of scale values when the distribution conforms closely to the normal curve.
• Statistical Analysis -- application of statistical processes and theory to the compilation, presentation, discussion, and interpretation of numerical data.
• Statistical Bias -- characteristics of an experimental or sampling design, or the mathematical treatment of data, that systematically affects the results of a study so as to produce incorrect, unjustified, or inappropriate inferences or conclusions.
• Statistical Significance -- the probability that the difference between the outcomes of the control and experimental group are great enough that it is unlikely due solely to chance. The probability that the null hypothesis can be rejected at a predetermined significance level [0.05 or 0.01].
• Statistical Tests -- researchers use statistical tests to make quantitative decisions about whether a study's data indicate a significant effect from the intervention and allow the researcher to reject the null hypothesis. That is, statistical tests show whether the differences between the outcomes of the control and experimental groups are great enough to be statistically significant. If differences are found to be statistically significant, it means that the probability [likelihood] that these differences occurred solely due to chance is relatively low. Most researchers agree that a significance value of .05 or less [i.e., there is a 95% probability that the differences are real] sufficiently determines significance.
• Subcultures -- ethnic, regional, economic, or social groups exhibiting characteristic patterns of behavior sufficient to distinguish them from the larger society to which they belong.
• Testing -- the act of gathering and processing information about individuals' ability, skill, understanding, or knowledge under controlled conditions.
• Theory -- a general explanation about a specific behavior or set of events that is based on known principles and serves to organize related events in a meaningful way. A theory is not as specific as a hypothesis.
• Treatment -- the stimulus given to a dependent variable.
• Trend Samples -- method of sampling different groups of people at different points in time from the same population.
• Triangulation -- a multi-method or pluralistic approach, using different methods in order to focus on the research topic from different viewpoints and to produce a multi-faceted set of data. Also used to check the validity of findings from any one method.
• Unit of Analysis -- the basic observable entity or phenomenon being analyzed by a study and for which data are collected in the form of variables.
• Validity -- the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. A method can be reliable, consistently measuring the same thing, but not valid.
• Variable -- any characteristic or trait that can vary from one person to another [race, gender, academic major] or for one person over time [age, political beliefs].
• Weighted Scores -- scores in which the components are modified by different multipliers to reflect their relative importance.
• White Paper -- an authoritative report that often states the position or philosophy about a social, political, or other subject, or a general explanation of an architecture, framework, or product technology written by a group of researchers. A white paper seeks to contain unbiased information and analysis regarding a business or policy problem that the researchers may be facing.

Elliot, Mark, Fairweather, Ian, Olsen, Wendy Kay, and Pampaka, Maria. A Dictionary of Social Research Methods. Oxford, UK: Oxford University Press, 2016; Free Social Science Dictionary. Socialsciencedictionary.com [2008]. Glossary. Institutional Review Board. Colorado College; Glossary of Key Terms. Writing@CSU. Colorado State University; Glossary A-Z. Education.com; Glossary of Research Terms. Research Mindedness Virtual Learning Resource. Centre for Human Servive Technology. University of Southampton; Miller, Robert L. and Brewer, John D. The A-Z of Social Research: A Dictionary of Key Social Science Research Concepts London: SAGE, 2003; Jupp, Victor. The SAGE Dictionary of Social and Cultural Research Methods . London: Sage, 2006.

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Useful Research Words and Phrases for All Sections

What are the best research words and phrases to use in a paper?

If you are a graduate student, researcher, and/or professor, you already know that composing academic documents can be a frustrating and time-consuming undertaking. In addition to including all the necessary study content, you must also present it in the right order and convey the required information using the proper institutional language. Deciding exactly which language to put in which section can get confusing as you constantly question your choice of phrasing: “ Does the Results section require this kind of explanation? Should I introduce my research with a comparison or with background research? How do I even begin the Discussion section? ”

To help you choose the  right  word for the  right  purpose,  Wordvice  has created a handy academic writing “cheat sheet” with ready-made formulaic expressions for all major sections of a research paper ( Introduction, Literature Review, Methods, Results, Discussion, and Conclusion ) and for reaching different objectives within each section.

This downloadable  quick-reference guide  contains common phrases used in academic papers, a sample journal submission cover letter, and a template rebuttal letter to be modified and used in case of receipt of a letter from the journal editor.

Each section includes annotations explaining the purposes of the expressions and a summary of essential information so that you can easily find the language your are looking for whenever you need to apply it to your paper. Using this quick reference will help you write more complete and appropriate phrases in your research writing and correspondence with journal editors.

Reference Guide Content

1. common research paper phrases (listed by manuscript section).

• Gathered from hundreds of thousands of published manuscripts, these frequently used key sentences and phrases are tailored to what each section of your paper should accomplish.
• From the abstract to the conclusion, each section is tied together by a logical structure and flow of information.
• Refer to this index when you are unsure of the correct phrases to use (in your paper/article, dissertation, or thesis) or if you are a non-native speaker and are seeking phrasing that is both natural in tone and official in form.

2. Acade mic Search Tools Index

• The search tools index is a concise compilation of some of the best academic research search tools and databases available that contain information about paper composition and relevant journals.
• Locate the sites and tools most useful for your needs using our summary of site content and features.

3. Sample Journal Submission Cover Letter with Formal Expressions

The  cover letter  is an essential part of the journal submission process, yet a great many researchers struggle with how to compose their cover letters to journal editors in a way that will effectively introduce their study and spur editors to read and consider their manuscript.

This sample cover letter not only provides an exemplary model of what a strong cover letter should look like but includes template language authors can apply directly to their own cover letters. By applying the formal language of the cover letter to the particular details of a particular study, the letter helps authors build a strong opening case for journals to consider accepting their manuscripts for publication.

4. Rebuttal Letter Template

The  rebuttal letter  is written as a response to previously received correspondence from journal editors that can take the form of a rejection, deferment, or request letter, which often requests changes, additions, or omission of content or augmentation of formatting in the manuscript. The rebuttal letter is therefore usually an author’s last chance to get their manuscript published in a given journal, and the language they use must convince the editor that an author’s manuscript is ready (or will be ready) for publication in their journal. It must therefore contain a precise rationale and explanation to accomplish this goal.

As with the journal submission cover letter, knowing exactly what to include in this letter and how to compose it can be difficult. One must be persuasive without being pushy; formal but yet candid and frank. This template rebuttal letter is constructed to help authors navigate these issues and respond to authors with confidence that they have done everything possible to get their manuscript published in the journal to which they have submitted.

5. Useful Phrases for the Journal Submission Cover Letter/Rebuttal Letter

As with research papers, there are usually dozens of options for how to phrase the language in letters to journal editors. This section suggests several of the most common phrases that authors use to express their objectives and persuade editors to publish their journals. And as with the section on “Common Research Paper Phrases,” you will find here that each phrase is listed under a heading that indicates its objective so that authors know when and where to apply these expressions.

Use this reference guide as another resource in your toolkit to make the research paper writing and journal submission processes a bit easier. And remember that there are many excellent resources out there if you require additional assistance.

Wordvice ‘s academic English editing services include paper editing services , dissertation editing services , and thesis editing services that are specifically tailored to help researchers polish their papers to get the very most out of their research writing. Visit our  Resources  pages for great articles and videos on academic writing and journal submission.

Wordvice Resources

A guide to paraphrasing in research papers, 100+ strong verbs that will make your research writing amazing , how to compose a journal submission cover letter, how to write the best journal submission cover letter,  related resources,   40 useful words and phrases for top-notch essays, “essential academic writing words and phrases”  (my english teacher.eu), “academic vocabulary, useful phrases for academic writing and research paper writing”  (research gate).

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• Dissertation
• What is a Glossary? | Definition, Templates, & Examples

What Is a Glossary? | Definition, Templates, & Examples

Published on May 24, 2022 by Tegan George . Revised on July 18, 2023.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation , it’s a list of all terms you used that may not immediately be obvious to your reader.

Your glossary only needs to include terms that your reader may not be familiar with, and it’s intended to enhance their understanding of your work. Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one.

If you do choose to include a glossary, it should go at the beginning of your document, just after the table of contents and (if applicable) list of tables and figures or list of abbreviations . It’s helpful to place your glossary at the beginning, so your readers can familiarize themselves with key terms relevant to your thesis or dissertation topic prior to reading your work. Remember that glossaries are always in alphabetical order.

To help you get started, download our glossary template in the format of your choice below.

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• Table of contents

Example of a glossary

Citing sources for your glossary, additional lists to include in your dissertation, other interesting articles, frequently asked questions about glossaries.

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Glossaries and definitions often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited.

However, it’s always better to be safe than sorry when it comes to citing your sources , in order to avoid accidental plagiarism .

If you’d prefer to cite just in case, you can follow guidance for citing dictionary entries in MLA or APA Style for citations in your glossary. Remember that direct quotes should always be accompanied by a citation.

In addition to the glossary, you can also include a list of tables and figures and a list of abbreviations in your thesis or dissertation if you choose.

Include your lists in the following order:

• List of figures and tables
• List of abbreviations

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

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A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

A glossary or “glossary of terms” is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organized by page number.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

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*Research 101

Library and research vocabulary.

• Developing a Topic
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As you use the library or research for an assignment, you will encounter specialized terms and words. This list includes many of the more common words you will find, along with definitions. You may also wish to view the  Multilingual Glossary Language Table to translate library terms to seven languages.

Vocabulary List

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Child Care and Early Education Research Connections

Research glossary.

The research glossary defines terms used in conducting social science and policy research, for example those describing methods, measurements, statistical procedures, and other aspects of research; the child care glossary defines terms used to describe aspects of child care and early education practice and policy.

Research Vocabulary

Learn words with flashcards and other activities, other learning activities, teaching tools, full list of words from this list:.

• compile get or gather together The educators’ section has been compiled in consultation with educators who have worked extensively on information literacy projects.
• evaluate estimate the nature, quality, ability or significance of The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• research a seeking for knowledge How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills. 1.
• extensively in a widespread way The educators’ section has been compiled in consultation with educators who have worked extensively on information literacy projects.
• digital relating to or performed with the fingers The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• organize arrange by systematic planning and united effort The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• information knowledge acquired through study or experience How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills. 1.
• include have as a part; be made up out of The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• skill an ability that has been acquired by training How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills . 1.
• provide give something useful or necessary to How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills. 1.
• section one of several parts or pieces that fit with others The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• cite make reference to The student section provides a step-by-step tutorial for the research process, including how to find and evaluate print and digital information, how to organize and cite the sources, and templates for research papers. 2.
• successfully in a manner marked by a favorable outcome The feature covers how to teach research skills, including how to structure assignments so the students can successfully reach the goals set for them
• feature a prominent attribute or aspect of something How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills. 1.
• structure a complex entity made of many parts The feature covers how to teach research skills, including how to structure assignments so the students can successfully reach the goals set for them
• Book the sacred writings of the Christian religions How to Do Research World Book Student’s “How to Do Research” feature provides tutorials and exercises for students and educators on 21st century information literacy skills. 1.

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Vocabulary for Academic Success: Key Words and Phrases

This article covers the following areas –.

Academic success isn’t solely about understanding concepts or having a high IQ; it also leans heavily on one’s ability to communicate ideas and knowledge effectively. A strong academic vocabulary forms the foundation of coherent arguments, clear explanations, and insightful discussions.

This article will introduce many terms and phrases that are pivotal for students and academicians across disciplines. Understanding and using these terms can elevate your academic writing and discussions.

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Research Terminology

Engaging with or conducting research requires an understanding of specific terminology.

Argumentative Writing

Presenting arguments in academia needs a structured approach and specific vocabulary.

Literary Analysis

Dissecting literature requires a set of specialized terms to discuss nuances.

Historical Discussions

Historical discourses often utilize specific terminology to explain events and eras.

Mathematical Language

To elevate your vocabulary in just 30 days, I recommend to my students an informative, fun, and accessible guide to utilizing powerful language. Millions of individuals have enhanced their academics, job skills, and confidence by dedicating just fifteen minutes daily to the exercises and tests of 30 Days to a More Powerful Vocabulary (Amazon Link) , a top-selling. It offers step-by-step methods to bolster language prowess, discover compelling words, and daily vocabulary enhancement with pronunciation guidance.

Sample Conversation Using Vocabulary for Academic Success

Situation: In a university coffee shop, Lisa and Kevin are talking about the importance of academic vocabulary in enhancing the quality of their research papers.

Kevin: That sounds interesting, Lisa. I’ve always felt that my academic writing could use some refinement. What terms did the article emphasize?

Lisa: It highlighted transition words like ‘however,’ ‘furthermore,’ and ‘consequently.’ It also discussed terms used to introduce evidence, like ‘for instance,’ ‘as illustrated by,’ and ‘according to.’

Lisa: Exactly! The article also mentioned the importance of words that show causation and contrast, which can help structure our arguments better and guide the reader through our thought process.

Navigating the world of academia becomes smoother with a robust vocabulary. By familiarizing yourself with these terms and phrases, you arm yourself with the tools necessary for clear, precise, and sophisticated communication in academic circles.

FAQ: Vocabulary for Academic Success

1. What is the significance of transition words in academic writing?

Transition words help guide readers through a text, ensuring that your arguments flow smoothly and are easy to follow.

2. Are phrases like ‘for instance’ and ‘as illustrated by’ interchangeable?

While they can often be used similarly, it’s essential to ensure that the phrase fits the context. Both are used to introduce examples, but their usage can vary based on sentence structure.

3. How do words showing causation enhance an argument?

Words like ‘because,’ ‘thus,’ and ‘hence’ indicate a cause-and-effect relationship, making the reasoning behind an argument clearer to the reader.

4. Why is contrasting vocabulary important?

Yes, over-reliance on certain phrases can make writing seem repetitive. It’s essential to strike a balance and use them where they genuinely add value.

Regular reading of academic journals, attending seminars, and using resources like academic vocabulary lists or thesauruses can help.

7. Are there specific words to avoid in academic writing?

A diverse vocabulary allows for more precise and nuanced expression, making arguments more compelling and the writing more engaging.

9. Are there tools to help refine academic vocabulary in writing?

10. How important is it to understand the context when using academic vocabulary?

Understanding context is crucial. Using sophisticated vocabulary incorrectly can confuse readers and weaken the credibility of your argument.

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IELTS > IELTS Vocabulary > Research Vocabulary: List Of Words, Terms And Concepts

Research Vocabulary: List Of Words, Terms And Concepts

From the moment they lived in groups, humans have defined rules to make it easier for them to interact with each other. The study of this phenomenon is called sociology . If you’ve never heard about it before, this is your chance to dig deeper into this topic. You will be thankful for its utility in your life.

In this section you will find:

• The two main branches of research in sociology and definitions.
• An alphabetical list of popular words and definitions.

Read on to find out!

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• Sociology Vocabulary

Research Vocabulary in The Sociology Department

The two main branches of research in sociology:

Basic Research

It’s an experimental or theoretical work to broaden and deepen knowledge about phenomena’s foundations and observable occurrences, without a concrete purpose of implementation.

Applied Research

Original work is undertaken to acquire further insights. However, unlike the Basic research, it is primarily directed towards a concrete practical end or objective.

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Culture Vocabulary List: Most Common Words And Phrases

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Academic Phrases for Writing Introduction Section of a Research Paper

Overview |   Abstract   | Introduction | Literature Review | Materials & Methods | Results & Discussion | Conclusion & Future Work | Acknowledgements & Appendix

Introduction section comes after the abstract. Introduction section should provide the reader with a brief overview of your topic and the reasons for conducting research. The introduction is a perfect place to set the scene and make a good first impression. Regarding word count, introduction typically occupies 10-15% of your paper, for example, if the total word count of your paper is 3000, then you should aim for an introduction of around 600 words. It is often recommended that the introduction section of the paper is written after finishing the other sections of the paper. This is because it is difficult to figure out what exactly to put in the introduction section of the paper until you have seen the big picture. Sound very confident about your chosen subject area and back up your arguments with appropriate references. After reading the introduction, the reader must have a clear idea of what to expect from the rest of your research paper.

The introduction section of your research paper should include the following:

• General introduction
• Problem definition
• Gaps in the literature
• Problems solution
• Study motivation
• Aims & objectives
• Significance and advantages of your work

1. General introduction

Research on __ has a long tradition For decades, one of the most popular ideas in __ literature is the idea that __ Recent theoretical developments have revealed that __ A common strategy used to study __ is to __ This research constitutes a relatively new area which has emerged  from __ These approaches have been influential in the field because of __ In the past several decades, __ have played an important  role in __ There are growing appeals for __ This is the field of study that deals with __ Most of the theories of __ are however focused on explaining __ There are three major theoretical and conceptual frameworks for __ The field has gradually broadened as __ This field of study is sometimes referred as __ This has been widely adopted in the field of __ This thesis considers the field of __ as the main subject of its study One of the major topics to be investigated in this field is __ This is now a mature field which is now being spun out into commercial applications __ This field is maturing, with a wealth of well-understood methods and algorithms __ This field closely follows the paradigm of __ The field has met with great success in many problems __ The field only really took off in the late __ as it became more accessible to __ This is not particularly new and has been used for many years in the field of __ This field closely follows the paradigm of __ Widely considered to be a good way to __ This has been widely adopted in the field of __ This is more widely used at the time of __ This phenomenon has been widely observed A common technique is to __ This is a technique common in __ There are several common kinds of __

2. Problem definition

This seems to be a common problem in __ This leads to myriad problems in __ The main problem is that __ There is a further problem with __ One primary problem with __ is that __ The methods are not without their problems as will be discussed in __ The foremost problems are the facts that __ This makes up for the problem of __ This seems to be a common problem in __ This is a complex problem and to simplify it requires __ A challenging problem which arises in this domain is __ These problems are difficult to handle __ This is typically a complex problem __ A well-known problem with __  is that it does not take into account the __ One of the problems is that it considers only the __ The key problem with this technique is __ It is usually an ill-posed problem in the case of __ This problem is well-posed and does not require to impose __ This appears as a more straightforward problem compared to the __ This turns out to be even more problematic because __ The problem with such an implementation is that __ This poses some problems when carrying out the __ This problem  has attracted more attention in the field of __ This is a basic chicken-and-egg problem because __ Unfortunately, this approach results in problems related to __ These constraints make the problem difficult to __ Most of the research in this field is aimed at solving this problem. This remains an open problem in the area. This problem has received substantial interest. These examples highlight the problem that __ The main practical problem that confronts us is __

3. Gaps in literature

  There is no previous research using __ approach. As far as we know, no previous research has investigated __ There has been less previous evidence for __ Other studies have failed to __ To our knowledge, no study has yielded __ No study to date has examined __ Only a few studies have shown __ However, __ has rarely been studied directly. Moreover, few studies have focussed on __ In particular no study, to our knowledge, has considered __

4. Problems solution

One way to overcome these problems is to __ There are many alternative methods are available for solving these problems. In order to rectify the problem of __ A solution to this problem is proposed in __ One approach to solve this problem involves the use of __ An alternative approach to the problem is __ This can be applied to solve these problems. A number of works have shown that this problem can be overcome by using __ A large number of alternative approaches have been developed over the last few decades to __ To overcome this problem, in the next section we demonstrate __ One way to overcome this problem is to __ To overcome this problem, some approaches have been made __ One way of recovering from this problem could be to __ This has been proposed to surmount the problems caused by __ A different approach to the traditional problem is given in __ A whole range of different approaches to the problem are available. These techniques have potential to solve contemporary problems in __ We should tailor specific solutions to specific problems __ The standard solution to the problem is based on __ The solution proposed here addresses only the problem of __ There are techniques that have been developed to solve this problem __ This problem is usually overcome by __ There have been several attempts to solve the problem __ There exist many methods for dealing with this problem __ Broadly speaking, the problem can be addressed by __ One of the simplest ways of tackling this problem is __ This problem has been largely studied and many viable solutions have been found. In general, this problem can be tackled in two different ways. Other approaches have been shown to cope with the problem more efficiently. We will review the main approaches to solve this problem. Recently, a more general solution has been proposed for this problem. Both these works provide a solution to the problem. Recent methods focus on overcoming the problems by proposing different schemes for __ This strategy is not uncommon in this kind of problems. We can apply our algorithm to solve this difficult problem. This is how the problem can be tackled __ We have developed this generic method to solve a variety of problems. We will now demonstrate our method on some specific problems. Here we solve several problems simultaneously. We have undergone a rethinking of the problem by __ A possible solution to the problem at hand is __ It is clear that the problem could be easily tackled by __

5. Study motivation

It is of interest to know whether __  still hold true. It would be of special interest to__ We therefore analyzed __ and investigated whether __ For this study, it was of interest to investigate __ We investigated whether __ can be partly explained by __ To examine the impact of __, we tested __ We have investigated the effect of __ We characterize different aspects of __ One way to investigate __ was to __ A new approach is therefore needed for __ To illuminate this uncharted area, we examined __

6. Aims & objectives

The aim is to develop more sophisticated methods for __ The aim of this work is to develop __ The aims in this chapter are twofold: First __, Second __ For our first goal, we focus on two problems __ The aim here is to investigate __ The overall goal of this work was to __ This project aims to develop an overarching framework to __ The aim of the experiment is to compare __ The ultimate goal is to produce a __ The overall goal of this thesis was to pursue __ After defining the problem we explain the goals of the thesis. With this aim in mind, in this paper we present a new method for __ Our research aims at finding a solution for this challenging problem of  __ There is no overall goal, apart from __ We examine some previous work and propose a new method for __ There are too many simultaneous goals making it difficult to __ One of the major aims of this work was to create __ The main objective is to investigate methods for improving __ The objectives can be restated in the light of __ The objective is to devise and implement a system for __ The objectives were partially met by developing a method to __ The objective is to demonstrate the feasibility of __ One of the objectives is to improve the __

7. Significance and advantages of your work

This thesis documents several key contributions made to the fields of __ This thesis has made a number of significant contributions to the field of __ The contributions made here have wide applicability. The contributions made should be of wide interest. The first main contribution proposed in this field is a __ The contributions of this work are presented as follows: __ The main achievements, including contributions to the field can be summarised as follows: __ We summarize the main contributions of this thesis. The key contribution of this work is the solution it provides __ It has numerous advantages as explained here __ It has significant benefits in terms of __ There is a clear advantage in following the methods of __ This has particular advantages over other __ All of these advantages make it particularly valuable in __ One of the primary benefits of this algorithm is __ This gives a significant advantage because __ These point out the advantages and practicability of __ One of the key benefits of the algorithm is __ The main advantage compared to previous method is __ This present some practical advantages. The main advantage is the simplified pattern. One practical advantage of the method is that it can be used in __ The advantage becomes all the more significant when __ In comparison with other techniques, this method has the advantage of __ The most important advantage of this method is that it can perform very well in __ It yielded significant speed advantages when __ The benefit of using the __ is expected to __ The main advantage is that we are able to __ To give some idea of the benefits of this method __ The additional advantage of using this method is that it results in __ This is an important advantage of this algorithm __ These are the main advantages of this method.

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E.g. How to discribe some data increase or decrease in several different ways?

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• Language Teaching

THE TEACHING OF VOCABULARY: A PERSPECTIVE

• October 2017
• Jurnal KATA 1(2):182

• Universiti Tun Hussein Onn Malaysia

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School of --> school of linguistics and applied language studies, vocabulary research topics, vocabulary research topics for assignment, project, or thesis work.

These suggestions are organised according to the chapters and sections of the chapters in Learning Vocabulary in another Language .

Chapter 1: The goals of vocabulary learning

• Analyse a technical dictionary to see how many words it contains, and what types of words it contains. Compare the results with a corpus study.
• Examine the vocabulary load of your learners' textbooks.
• Develop a procedure for quickly assessing the coverage of high frequency words in text books.
• Make a replacement for the GSL.
• Prepare a low frequency word list taking account of range.
• Prepare a standardised graded reader list dividing the most frequent 3,000 word families into levels.
• Use the Range program to develop a high frequency word list for spoken language.

Chapter 2: Knowing a word

• Design a test to investigate the degree to which learners of English have control of important spelling rules.
• Investigate the qualitative differences between receptive and productive vocabulary knowledge.
• Classify and test proper nouns to see what categories can be assumed to provide minimal learning burden when looking at the vocabulary load of texts.

Chapter 3: Teaching and explaining vocabulary

• Thoroughly examine learners using a particular type of activity to see if the process examination (goals, conditions, signs and features) is confirmed by a product examination (measured learning outcomes).
• Experimentally test the differing effects of noticing, retrieving, and generating.
• Replicate Joe's (1998) study of the differing effects of differing degrees of generating.
• What unique information do different techniques add to word knowledge? What common information do they add?
• When is the best time for direct teaching to occur in the learning of a word - before or after gaining meaning focused experience?
• The forms and occurrences of definitions. The work on the different kinds of definition seems to have been thoroughly done, but it has focused only on limited areas of academic discourse. Bramki and Williams (1984) only looked at one writer's use of lexical familiarisation devices. Flowerdew (1992) looked at Biology and Chemistry lectures. There is scope for widening the data base.
• The effects of definition types on comprehension and learning. Is there a relationship between the different types of definitions as revealed in the corpus studies of Bramki and Williams (1984) and Flowerdew (1992) and learners' understanding of these definitions and learning from them? There are no studies of second language learners' skill in recognising these definitions let alone the understanding that comes from them.
• As well as looking at the effect of definitions, it would be useful to examine learners' skill. What range of skill do learners show in dealing with definitions? What aspects of the skill need attention? What diagnostic tests are most effective in showing degree of control of the skill? What kinds of training are effective in developing the skill?
• Write a comparative review of several CAVL programs.
• Use a CAVL program to evaluate the effect on learning of meeting the same item in different contexts.
• Determine the factors influencing incidental vocabulary learning by using a message focused computer game.

Chapter 4: Vocabulary and listening and speaking

• Compare the effects of types of defining (L1 or L2) on vocabulary learning while listening to a story.
• Look at the incidence of academic vocabulary in university lectures. Is it as common as in written academic texts? Do lectures contain other sources of vocabulary difficulty, for example through the use of examples?
• How does learners' focus of attention change as a text is listened to several times? Where does vocabulary fit in this range of focuses of attention?
• Does adding a role play feature to a task result in more generative use? That is, does it cause more changes to the written input?
• Analyse examples of semantic mapping to show the ways teachers use to encourage dialogue and participation. Make an observation checklist to grade semantic mapping performances.
• Do a corpus study to find the vocabulary which is much more frequent in certain spoken registers than it is in written registers.

Chapter 5: Vocabulary and reading and writing

• Do different kinds of learning occur from reading compared with learning from different kinds of exercises?
• Is the Lexical Frequency Profile of a text an effective measure of the readability of the text for ESL learners?
• Evaluate and investigate a reading based vocabulary activity for its effect on vocabulary learning and use.
• Honeyfield (1977) claims that simplified reading texts distort normal language use. Research this claim looking at a range of language use features including collocation and information density.
• Do simplified, elaborated and easified texts have similar effects on comprehension and vocabulary learning?
• How can vocabulary learning from graded readers be optimized?
• Experimentally test writing tasks to see what needs to occur to quickly enrich learners' written productive vocabulary.
• Test the effect of richness of vocabulary use on teachers' assessment of ESL learners' writing.
• Design and trial a checklist to guide teachers' response to vocabulary use in writing.

Chapter 6: Specialised uses of vocabulary

• What are the general discourse functions of academic vocabulary. For example, it may be interesting to take an academic function, like defining or referring to previous research, and see what role academic vocabulary plays in this.
• Do particular academic words behave differently in different subject areas? That is, does their meaning change? Do they have different collocates? This research would confirm or question the value of courses for academic purposes for students from a variety of disciplines, and would suggest how attention could be most usefully directed towards academic vocabulary.
• How much is the academic vocabulary parallelled by high frequency words. That is, is the academic vocabulary just a more formal version of part of the most frequent 2,000 words, or does it add new meanings?
• Compare several experimental reports to see if the same academic vocabulary occurs in the same parts of the reports. For example, do the method sections use a similar set of vocabulary which is different from the results section?
• Look at learners' written work to see what vocabulary discourse features are not properly used.

Chapter 7: Vocabulary learning strategies and guessing from context

• Are some vocabulary learning strategies superior to others?
• Develop a taxonomy for evaluating strategy use that considers both type of strategies used and the quality of their use.
• Evaluate the validity of a questionnaire approach to investigating strategy use.
• Experimentally check Haastrup's idea that bottom up guessing results in more vocabulary learning than top down guessing which works from a lot of background knowledge.
• What aspects of word knowledge are learned by guessing from context?
• What difficulties do homographs cause for guessing from context.? That is, is it harder to guess a new meaning for a familiar form that already has a different associated meaning?

Chapter 8: Word study strategies

• Devise a test of receptive knowledge of important derivational affixes for non-native speakers of English. Carroll's (1940) format could be a useful model. Make sure the test is reliable, valid and practical and would have a positive washback effect.
• Examine learners' written work to determine if complex words are deliberately avoided.
• Design an experiment to see what aspects of vocabulary knowledge are learned by dictionary use.
• Design and check a diagnostic test of learners' dictionary use skills.
• What additional information is provided by a sentence context?
• How well does direct learning transfer to normal language use?
• What is the effect of training on improving learning from word cards?

Chapter 9: Chunking and collocation

• Develop a list of frequent collocations using well defined and carefully described criteria.
• Look for evidence of unanalysed chunks in the language production of native speakers and non-native speakers.

Chapter 10: Testing

• Get learners to sit a yes/no test and then go through their wrong answers on non-words to examine the reasons why they said they knew the non-words (Paul, Stallman and O'Rourke, 1990).
• Compare multiple choice items containing L1 choices with items containing L2 choices.
• Devise a well based measure of total vocabulary size for non-native speakers.
• Measure the pattern of native speaker and ESL non-native speaker vocabulary growth.

Chapter 11: Designing the vocabulary component of a language course

• Design a needs analysis questionnaire to determine vocabulary needs outside the high frequency general service vocabulary.
• Design an evaluation form for evaluating the vocabulary component of a course.
• Develop a program for helping learners become autonomous vocabulary learners. Justify your decisions.
• Develop means of investigating the degree to which learners are autonomous in their vocabulary learning.