similar words research paper

• Link to facebook
• Link to linkedin
• Link to twitter
• Link to youtube
• Writing Tips

How to Choose the Best Keywords for Your Research Paper

6-minute read

• 29th July 2023

After writing a research paper, you will want others to find your research online. But how? Through social media? By telling your friends? You could. The only thing is that scholars and researchers typically find research through academic databases and search engines. To get your research noticed, you need to include keywords in your paper. But why do keywords matter? How can you choose the right keywords?

We’ll answer these questions in this post. You’ll learn how to choose the best keywords for a research paper . Additionally, you’ll learn:

• The importance of keywords.
• Strategies for choosing quality keywords.
• Where to include keywords in a paper.

While keywords may seem insignificant, failing to include them is a mistake when writing research papers . Quality keywords accurately represent the content of your research, allowing scholars in your field to find it in an online search quickly.

Why Are Keywords Important?

Keywords make it easy for others to find your research in search engines and academic databases. Finding relevant research papers can be arduous, so readers circumvent this by using specific phrases and terms to find research that aligns with their interests. Therefore, you need to include keywords to match those phrases and terms. Without quality keywords, your research will end up in the academic abyss.

In short, keywords:

●  Produce precise search results.

●  Save researchers time and effort as they search for material.

●  Enhance discoverability (i.e., help others find your research fast).

●  Ensure that your paper is properly categorized in databases.

As a rule, you should choose five keywords maximum for research papers.

Strategies for Choosing Robust Keywords

1. avoid long phrases and ambiguity.

For keywords in research papers, most journals request phrases that are one to four words in length, meaning no complete sentences. Try using nouns whenever possible, and avoid using conjunctions such as and . It’s also worth mentioning that you should avoid using terms that are in your paper’s title.

Use distinct keywords that are directly related to your research. Generic terms don’t reflect specific terms that potential readers use during their search.

2. Consider Your Audience

Who is your targeted audience? Educators? Engineers? Consider potential terms or phrases your audience would use to search for your research, then modify chosen keywords to match your audience’s terminology. Understanding your audience is vital for creating quality keywords.

3. Identify Core Concepts

What are the core concepts, topics, and themes of your research? These are the main ideas that the paper addresses, which can be found in the abstract section. Make a list of these items.

Let’s say your paper is about cyberbullying in high schools. Examples of core concepts/terms related to the research include:

●  Digital harassment

●  Exclusion

●  Trolling

●  Anonymity (the state of being nameless)

●  Impact on student mental health

●  Prevention and education

Core concepts, topics, and themes can be a few words or phrases. Once you’ve identified them, consider how to turn them into specific keywords.

4. Consult Similar Research

Consulting research papers on your topic is a great way to find keywords. As you research them, examine the keywords they use to describe their content. This can provide insight into commonly accepted terms and terminology within your field. We suggest researching at least three related papers.

5. Use Synonyms and Variations

Readers interested in your field will use different terminology in their online search. Therefore, you need to use synonyms and variations of your chosen keywords. Synonyms are words that have the same meaning as another word.

To illustrate this, let’s take the previous example of the paper about cyberbullying in high schools. You could use the following keywords for this research:

●  Cyberbullying awareness

Find this useful?

Subscribe to our newsletter and get writing tips from our editors straight to your inbox.

●  Online safety

●  Cyberbullying education

●  Student online behavior

What synonyms could you use for these keywords? Let’s try this:

●  Cyberbullying perception

●  Virtual security

●  Online harassment education

●  Student online conduct

You can play around with synonyms until you find ones that resonate with you. Using an online thesaurus, such as Word Hippo , can make finding synonyms a breeze.

6. Include Acronyms and Abbreviations

Does your paper contain commonly used acronyms and abbreviations , such as DNA and AI? If so, consider including them as keywords, as readers often use acronyms and abbreviations to find relevant research. This will significantly increase the chances of readers finding your work.

However, we don’t recommend using acronyms or abbreviations that are only known within your field. A general audience will likely be unfamiliar with them. We suggest spelling them out in full if you think they would be strong keywords. You should also spell the definition as a keyword if the abbreviation or acronym appears in the paper’s title.

7. Test Your Keywords for Optimal Results

Once you’ve compiled your best keywords, test them in search engines and academic databases to see if they produce the right results. Think of it as testing a tent in your backyard before going out into the woods for an overnight camping trip. If there are problems with the tent during the backyard test, you can at least retreat into your house. Likewise, if the chosen keywords don’t generate positive results in a test, you can refine them before submitting the paper.

Where Are Keywords Included in a Paper?

Some sources insist that you include keywords in the title, while others say subheadings are better. Most academic journals require paying a subscription to access full articles. However, one can easily access a paper’s abstract in academic search engines like Google Scholar.

Therefore, we recommend including keywords in the abstract section. Additionally, it provides an overall summary of your paper, making it the ideal spot for keywords.

Let’s summarize what we’ve learned:

●  Keywords help readers find your research in search engines.

●  Aim for five keywords.

●  Keywords should be one to four words in length.

●  Identify a potential audience before selecting keywords.

●  Consult similar research for samples of appropriate keywords.

●  Use word variations (synonyms).

●  Include abbreviations and acronyms.

●  Test keywords before submitting the paper.

Finally, for our visual readers, we recommend this video on choosing the best keywords for a paper.

As with any writing, we strongly recommend proofreading your research paper before submission. It needs to be checked for common errors such as typos and extra spacing. We understand the challenges of proofreading, which is why we recommend asking us to proofread and review your writing . We can check that the paper is clear and concise. Additionally, we will ensure perfect grammar, spelling, and punctuation. Consider submitting a 500-word document for free!

Share this article:

Post A New Comment

Got content that needs a quick turnaround? Let us polish your work. Explore our editorial business services.

5-minute read

Free Email Newsletter Template (2024)

Promoting a brand means sharing valuable insights to connect more deeply with your audience, and...

How to Write a Nonprofit Grant Proposal

If you’re seeking funding to support your charitable endeavors as a nonprofit organization, you’ll need...

9-minute read

How to Use Infographics to Boost Your Presentation

Is your content getting noticed? Capturing and maintaining an audience’s attention is a challenge when...

8-minute read

Why Interactive PDFs Are Better for Engagement

Are you looking to enhance engagement and captivate your audience through your professional documents? Interactive...

7-minute read

Seven Key Strategies for Voice Search Optimization

Voice search optimization is rapidly shaping the digital landscape, requiring content professionals to adapt their...

4-minute read

Five Creative Ways to Showcase Your Digital Portfolio

Are you a creative freelancer looking to make a lasting impression on potential clients or...

Make sure your writing is the best it can be with our expert English proofreading and editing.

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

Glossary of research terms.

• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• 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

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.

• << Previous: Independent and Dependent Variables
• Next: 1. Choosing a Research Problem >>
• Last Updated: Aug 13, 2024 12:57 PM
• URL: https://libguides.usc.edu/writingguide

Commonly Confused Words in Research Writing | Examples

Proper word choice is important in academic writing, as its main goal is to explain ideas or research findings as accurately as possible and to persuade readers that a theory or conclusion is correct. There are words that should be avoided altogether in academic texts, but others are simply misused or confused.

This list (with examples) will help you distinguish between some of these pairs that look or sound similar or seem to have the same meaning—it is not comprehensive but will give you an idea what to look out for when revising your own texts. A glossary of research terms can also help you avoid confusing words and phrases. And if you want to get professional input before you submit or hand in a paper, you can of course also make use of our Editing and Proofreading Services or our Paper Editing Service to perfect your writing.

Thus vs Therefore

"Thus" and "therefore" are both adverbs used to indicate a logical result or conclusion. "Thus" is typically used to present a result that follows logically from what has just been mentioned, often in a more formal or structured context. "Therefore", on the other hand, is more flexible: it can be used interchangeably with "thus," but it often carries a slightly stronger sense of causality or consequence . The choice between them is often a matter of style and preference, but "therefore" is preferred when emphasizing a clear cause-and-effect relationship.

Thus vs Therefore examples

Thus : The experiment showed consistent results; thus , we can conclude that our hypothesis is accurate.

Therefore : The road is closed due to heavy snowfall; therefore , we should take an alternate route to reach our destination on time.

Which vs That

"Which" and "that" are both relative pronouns used to introduce clauses that provide additional information about a noun. "Which" is used in non-restrictive clauses, which provide extra, non-essential information , and are set off by commas. In contrast, "that" is used in restrictive clauses , which are essential to the meaning of the sentence and are not separated by commas.

Which vs That examples

Which ( non-restrictive ) : My car, which is red, is parked outside. (The color of the car is extra information, and the sentence would still make sense without it.)

That ( restrictive ) : The car that is parked outside is mine. (The phrase "that is parked outside" is essential to identify which car is being referred to; without it, the sentence lacks clarity.)

Affect vs Effect

These two are another example of frequently confused words: "Affect" is typically a verb, meaning to influence or have an impact on something. "Effect", on the other hand, is usually a noun referring to the result or outcome of an action.

Remember the mnemonic: "Affect" is an Action (both start with 'A'), while "Effect" is the End result (both start with 'E').

Affect vs Effect examples

Affect (verb) : The bad news affected her deeply, causing her to feel sad all day.

Effect (noun) : The positive effect of regular exercise is improved health and increased energy.

Among vs Between

"Among" is used when discussing three or more items or when referring to a group in a collective or indistinct way. "Between" is used when discussing a relationship or comparison involving two distinct, individual items or groups.

Among vs Between examples

Among (three or more) : The treasure was divided among the four friends.

Between (two) : The decision needs to be made between the two job offers.

Attribute vs Contribute

"Attribute" is a verb or noun used to assign credit or responsibility to a specific source or cause, while "contribute" is a verb that means to give or provide something , often in the context of adding to a larger whole or actively helping a cause.

Attribute vs Contribute examples

Attribute (verb) : She attributes her musical talent to her years of practice.

Contribute (verb) : Many people contributed to the success of the fundraising event by donating their time and money.

Imply vs Infer

"Imply" is a verb used when someone indirectly suggests or conveys a message without stating it explicitly. "Infer", in contrast, is a verb used when someone deduces or draws a conclusion based on evidence or information presented. Note that the person making the inference is the one drawing the conclusion based on what is implied by someone else.

Imply vs Infer examples

Imply (speaker) : She didn't say it outright, but her words implied that the project was behind schedule.

Infer (listener) : From her words, I inferred that the project was not going as planned.

Whether vs If

"Whether" and "if" are both used to introduce conditional clauses, but there's a subtle difference between these confusing terms: "Whether" is used when presenting two or more alternatives or indicating a choice between possibilities, while "if" is used to introduce a conditional statement or to express a condition or supposition .

Whether vs If examples

Whether (choice) : I'm unsure whether I should order pizza or pasta for dinner tonight.

If (condition) : If it snows tomorrow, we'll go sledding in the afternoon.

Fewer vs Less

"Fewer" and "less" both relate to quantity, but they are used in different contexts. "Fewer" is used when referring to countable items or things that can be individually quantified , such as people or objects. "Less" is used when talking about an uncountable or abstract quantity , like time, money, or a substance.

Fewer vs Less examples

Fewer (countable) : There are fewer books on the shelf today.

Less (uncountable) : I have less sugar in my coffee than usual.

Principal and Principle

"Principal" refers to a person who holds a high position or the main amount of money in an account. "Principle" refers to a fundamental truth or rule . Confusing these two can lead to misdescriptions of studies or misinterpretations of scientific findings.

Principal and Principle examples

Principal (person) : The principal investigator led the research team.

Principle (fundamental rule) : The principle of conservation of energy was applied in this study.

Correct Commonly Confused Words with Wordvice AI

One way of checking your text for the misuse of frequently confused words is using our AI writing assistant , which corrects and paraphrases your text (and thereby also makes it more compelling): Simply paste parts of your text into the left-hand box of the AI Proofreader and click on the flagged errors—the corresponding feedback box explains to you why something is wrong and how to correct it:

The AI Proofreader will of course detect many other commonly confused words and other mistakes that are not included in this list.

You can also play around with the level of editing the tool applies (light - standard - intensive - concise) or let the AI Paraphrasing Tool provide you with alternative wording to make sure your text is free of errors and ambiguities.

Training videos   |   Faqs

Useful Phrases and Sentences for Academic & Research Paper Writing

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

1. Abstract

An abstract is a self-contained and short synopsis that describes a larger work. The abstract is the only part of the paper that is published online and in most conference proceedings. Hence abstract constitutes a very important section of your paper.  Also, when you submit your paper to a journal, potential reviewers only see the abstract when invited by an editor to review a manuscript. The abstract should include one or two lines briefly describing the topic, scope, purpose, results, and conclusion of your work. The abstract is indexed by search engines, so make sure that it has all the right words that a fellow researcher in the same field will be using while searching for articles online. Also, make sure it is rich with data and numbers to demonstrate the scientific rigor of your article. Be very clear and confident about your findings. Keep it punchy and straight to the point.

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

Click here for the academic phrases and vocabulary for the abstract section of the research paper…

2. Introduction

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

Click here for the academic phrases and vocabulary for the introduction section of the research paper…

3. Literature review

The literature review should clearly demonstrate that the author has a good knowledge of the research area. Literature review typically occupies one or two passages in the introduction section. A well-written literature review should provide a critical appraisal of previous studies related to the current research area rather than a simple summary of prior works. The author shouldn’t shy away from pointing out the shortcomings of previous works. However, criticising other’s work without any basis can weaken your paper. This is a perfect place to coin your research question and justify the need for such a study. It is also worth pointing out towards the end of the review that your study is unique and there is no direct literature addressing this issue. Add a few sentences about the significance of your research and how this will add value to the body of knowledge.

The literature review section of your research paper should include the following:

• Previous literature
• Limitations of previous research
• Research questions
• Research to be explored

Click here for the academic phrases and vocabulary for the literature review section of the research paper…

4. Materials and Methods

The methods section that follows the introduction section should provide a clear description of the experimental procedure, and the reasons behind the choice of specific experimental methods. The methods section should be elaborate enough so that the readers can repeat the experimental procedure and reproduce the results. The scientific rigor of the paper is judged by your materials and methods section, so make sure you elaborate on all the fine details of your experiment. Explain the procedures step-by-step by splitting the main section into multiple sub-sections. Order procedures chronologically with subheadings. Use past tense to describe what you did since you are reporting on a completed experiment. The methods section should describe how the research question was answered and explain how the results were analyzed. Clearly explain various statistical methods used for significance testing and the reasons behind the choice.

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

• Experimental setup
• Data collection
• Data analysis
• Statistical testing
• Assumptions
• Remit of the experiment

Click here for the academic phrases and vocabulary for the methods section of the research paper…

5. Results and Discussion

The results and discussion sections are one of the challenging sections to write. It is important to plan this section carefully as it may contain a large amount of scientific data that needs to be presented in a clear and concise fashion. The purpose of a Results section is to present the key results of your research. Results and discussions can either be combined into one section or organized as separate sections depending on the requirements of the journal to which you are submitting your research paper. Use subsections and subheadings to improve readability and clarity. Number all tables and figures with descriptive titles. Present your results as figures and tables and point the reader to relevant items while discussing the results. This section should highlight significant or interesting findings along with P values for statistical tests. Be sure to include negative results and highlight potential limitations of the paper. You will be criticized by the reviewers if you don’t discuss the shortcomings of your research. This often makes up for a great discussion section, so do not be afraid to highlight them.

The results and discussion section of your research paper should include the following:

• Comparison with prior studies
• Limitations of your work
• Casual arguments
• Speculations
• Deductive arguments

Click here for the academic phrases and vocabulary for the results and discussion section of the research paper…

6. Conclusion and Future Work

A research paper should end with a well-constructed conclusion. The conclusion is somewhat similar to the introduction. You restate your aims and objectives and summarize your main findings and evidence for the reader. You can usually do this in one paragraph with three main key points, and one strong take-home message. You should not present any new arguments in your conclusion. You can raise some open questions and set the scene for the next study. This is a good place to register your thoughts about possible future work. Try to explain to your readers what more could be done? What do you think are the next steps to take? What other questions warrant further investigation? Remember, the conclusion is the last part of the essay that your reader will see, so spend some time writing the conclusion so that you can end on a high note.

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

• Overall summary
• Further research

Click here for the academic phrases and vocabulary for the conclusions and future work sections of the research paper…

7. Acknowledgements and Appendix

There is no standard way to write acknowledgements. This section allows you to thank all the people who helped you with the project. You can take either formal or informal tone; you won’t be penalized.  You can place supplementary materials in the appendix and refer to them in the main text. There is no limit on what you can place in the appendix section. This can include figures, tables, costs, budget, maps, etc. Anything that is essential for the paper but might potentially interrupt the flow of the paper goes in the appendix.

Click here for the academic phrases and vocabulary for the acknowledgements and appendix sections of the research paper…

Similar Posts

Critical Literature Review : How to Critique a Research Article?

In this blog, we will look at how to use constructive language when critiquing other’s work in your research paper.

Hedging Techniques in Academic Writing with Examples

Hedging in academic writing refers to using language that indicates uncertainty or caution. Hedging can boost your credibility in the scientific world.

Literature Review Examples and Writing Tips

In this blog, we will go through many literature review examples and understand different ways to present past literature in your paper.

Research Paper Structure – Main Sections and Parts of a Research Paper

In this blog, we explain various topics and sub-topics to be included under each section of a research paper via word cloud diagrams.

Formulating Strong Research Questions: Examples and Writing Tips

In this blog, we will go through many research question examples and understand how to construct a strong research question for your paper.

How to Handle Negative Results in your Research Paper?

In this blog, we will see how to effectively communicate negative and unexpected findings in your paper with detailed examples.

Thanks for your effort. could I have a PDF having all the info included here.

You can control + p and save as pdf

• Pingback: Scholarly Paraphrasing Tool and Essay Rewriter for Rewording Academic Papers - Ref-N-Write: Scientific Research Paper Writing Software Tool - Improve Academic English Writing Skills

thank you so much

if you can also add on verbs used for each section would be good further

First of all, Thanks! I really appreciate the time and effort you put into http://www.intoref-n-write.com/trial/how-to-write-a-research-paper-academic-phrasebank-vocabulary/ ) which have greatly enhanced understanding of “how-to-write-a-research-paper”.

Thank you very much for this 🙂

Thank you very much!

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• 23 Share Facebook
• 27 Share Twitter
• 28 Share LinkedIn
• 37 Share Email

Research Paper Keyword Generator + Tips

• 🤩 Pros of Our Keyword Generator
• 🗝️ What Are Keywords?
• ️🔍 How to Choose Keywords
• 💡 4 Best Tips for Writing Keywords

🔗 References

🤩 pros of our free research paper keyword generator.

Our tool will present you with a list of keywords and phrases from any text you paste. There are several features that make it stand out from similar instruments:

🗝️ What Are Keywords in a Research Paper?

Keywords are phrases and words that reflect a research papers’ main ideas and topics . They help search engines and readers alike to quickly understand what the work is about. Such terms and phrases also allow researchers interested in your subject to promptly find your paper, share it, and cite it. Depending on the format of your work, keywords can be placed in its metadata or the abstract .

Why Are Keywords Important?

Oftentimes, students and professionals alike don’t take the time to choose the keywords for their research papers. They might be under the impression that if the work is good enough, others will find it anyway. In reality, that is not the case.

Choosing the most appropriate keywords has the following advantages:

• More precise search results . It ensures that your papers will be quickly found in search engines and academic registries. This way, researchers and other people interested in the topic have a better chance of coming across your work.
• Showing the paper’s relevance . Key words and phrases get across the main subject of the paper, summarize the main ideas , and make it easier for people to determine if they may be interested in the research.
• Quick communication with evaluators . Having keywords in your work lets your professors quickly comprehend the content and subject of your study.

🔍 How to Choose Keywords in Research Papers

This section will give you an understanding of the general rules about choosing keywords for academic works. There are several things we advise keeping in mind:

• Check the instructions . Before adding keywords, carefully read manuals provided by your professors or scientific journals. These materials should contain the volume of allowed keywords (3–5 on average, up to 10 in rare cases) and explain whether these should be picked from a pre-selected list.
• Choose specific words and phrases . When selecting your keywords, it is best not to use generic phrases. You should avoid abstract concepts or common words, since they can cause your paper to get lost in the search results. Instead, it is best to stay specific to the subject matter. For example, if you write about heart disease, use keys such as “ peripheral arterial disease ” or “acute coronary heart disease.”
• Search for optimized terms . Maximize the paper’s reach by optimizing terms. Google Scholar is a great way to discover the proper terminology for research in different fields.
• Include the methodology . Additionally, it’s essential to name the methodology used in the study. For example, regarding medicine, clinical trial types or experimental techniques are a perfect choice for papers on this subject.

Keywords Format: APA Style

APA is currently one of the most used formats for academic research papers. There are several things students should be aware of when writing works that follow its guidelines.

• Recommended fonts . In the APA style , it’s possible to use 10-point Computer Modern, 10-point Lucida Sans Unicode, 11-point Arial, 11-point Calibri, 11-point Georgia, or 12-point Times New Roman fonts.
• Placement . Students should place the keywords list on the research’s second page, one line below the abstract.
• Label . These words and phrases must be labeled as “Keywords,” intended like a regular paragraph, and put in italics.
• Text . In the APA format, keywords are on the same line and one space after the label. They are written in the lowercase, with capitalized proper nouns. Don’t use bold or italic and remember to separate them with commas. There’s no ending punctuation after the final keyword. Students can list them in any order and use double-space if the keywords run onto the second line.

💡 4 Best Tips for Writing Keywords for Your Research

Finding and incorporating the right keywords in research studies takes time and effort to perfect. We’ve decided to give several tips that will help you hone your research and article-writing skills .

• Avoid keywords that are too narrow or too broad . This is one of the trickiest things to pull off while looking for the perfect keywords. Make them excessively precise, and you will narrow your audience significantly. Make them too broad, and the article will be lost in search results.
• Steer clear of obscure search terms . If you want the work to appear in academic directories, don’t use terms people rarely seek. For example, people rarely search for Latin animal or plant species names, so keep things closer to plain English.
• Don’t mislead readers . Don’t use keys unrelated to your topic to get into the search results. Such things remove credibility from your writing and add unnecessary difficulties for people trying to find it.
• Use the appropriate format . When choosing your keywords, it is best to remember several general rules. For example, you should try avoiding abbreviations where possible. Additionally, it is best to use short phrases rather than singular words.

Our research paper generator will become a valuable tool for your academic pursuits. Also, we recommend you try our effective plagiarism checker ! If you have any questions, check out our FAQ section.

❓ Research Paper Keyword Generator – FAQ

• Consider words and phrases that expand or narrow the paper’s scope.
• Use phrases instead of single words without context.
• Avoid abbreviations.
• Check the guidelines.
• Find short phrases.
• Use general terms.
• Stay specific.
• Mention the methodology.

Updated: Oct 30th, 2023

• How to Write a Research Paper. – Lebanon Valley College
• Keyword Searching: Finding Articles on Your Topic: Select Keywords. – Walden University
• Research Foundations: Choose Keywords. – Seminole State College Library
• Guidelines for Selecting Keywords. – Kansas State University
• A Guide to Writing an Effective Abstract / Selecting Keywords for Discovery. – Cambridge University Press & Assessment
• Free Essays
• Writing Tools
• Lit. Guides
• Donate a Paper
• Q&A by Experts
• Referencing Guides
• Free Textbooks
• Tongue Twisters
• Editorial Policy
• Job Openings
• Video Contest
• Writing Scholarship
• Discount Codes
• Brand Guidelines
• IvyPanda Shop
• Online Courses
• Terms and Conditions
• Privacy Policy
• Cookies Policy
• Copyright Principles
• DMCA Request
• Service Notice

Find the perfect keywords for your research with IvyPanda’s free Research Paper Keyword Generator! Enter the text, select the number of keywords, and get a list of key terms to enhance your paper’s visibility. Try it now and make your research stand out!

• Affiliate Program

• UNITED STATES
• 台灣 (TAIWAN)
• TÜRKIYE (TURKEY)
• Academic Editing Services
• - Research Paper
• - Journal Manuscript
• - Dissertation
• - College & University Assignments
• Admissions Editing Services
• - Application Essay
• - Personal Statement
• - Recommendation Letter
• - Cover Letter
• - CV/Resume
• Business Editing Services
• - Business Documents
• - Report & Brochure
• - Website & Blog
• Writer Editing Services
• - Script & Screenplay
• Our Editors
• Client Reviews
• Editing & Proofreading Prices
• Wordvice Points
• Partner Discount
• Plagiarism Checker
• APA Citation Generator
• MLA Citation Generator
• Chicago Citation Generator
• Vancouver Citation Generator
• - APA Style
• - MLA Style
• - Chicago Style
• - Vancouver Style
• Writing & Editing Guide
• Academic Resources
• Admissions Resources

Effective Transition Words for Research Papers

What are transition words in academic writing?

A transition is a change from one idea to another idea in writing or speaking and can be achieved using transition terms or phrases. These transitions are usually placed at the beginning of sentences, independent clauses, and paragraphs and thus establish a specific relationship between ideas or groups of ideas. Transitions are used to enhance cohesion in your paper and make its logical development clearer to readers.

Types of Transition Words

Transitions accomplish many different objectives. We can divide all transitions into four basic categories:

• Additive transitions  signal to the reader that you are adding or referencing information
• Adversative transitions  indicate conflict or disagreement between pieces of information
• Causal transitions  point to consequences and show cause-and-effect relationships
• Sequential transitions  clarify the order and sequence of information and the overall structure of the paper

Additive Transitions

These terms signal that new information is being added (between both sentences and paragraphs), introduce or highlight information, refer to something that was just mentioned, add a similar situation, or identify certain information as important.

Adversative Transitions

These terms and phrases distinguish facts, arguments, and other information, whether by contrasting and showing differences; by conceding points or making counterarguments; by dismissing the importance of a fact or argument; or replacing and suggesting alternatives.

Causal Transitions

These terms and phrases signal the reasons, conditions, purposes, circumstances, and cause-and-effect relationships. These transitions often come after an important point in the research paper has been established or to explore hypothetical relationships or circumstances.

Sequential Transitions

These transition terms and phrases organize your paper by numerical sequence; by showing continuation in thought or action; by referring to previously-mentioned information; by indicating digressions; and, finally, by concluding and summing up your paper. Sequential transitions are essential to creating structure and helping the reader understand the logical development through your paper’s methods, results, and analysis.

How to Choose Transitions in Academic Writing

Transitions are commonplace elements in writing, but they are also powerful tools that can be abused or misapplied if one isn’t careful. Here are some ways to ensure you are using transitions effectively.

• Check for overused, awkward, or absent transitions during the paper editing process. Don’t spend too much time trying to find the “perfect” transition while writing the paper.
• When you find a suitable place where a transition could connect ideas, establish relationships, and make it easier for the reader to understand your point, use the list to find a suitable transition term or phrase.
• Similarly, if you have repeated some terms again and again, find a substitute transition from the list and use that instead. This will help vary your writing and enhance the communication of ideas.
• Read the beginning of each paragraph. Did you include a transition? If not, look at the information in that paragraph and the preceding paragraph and ask yourself: “How does this information connect?” Then locate the best transition from the list.
• Check the structure of your paper—are your ideas clearly laid out in order? You should be able to locate sequence terms such as “first,” “second,” “following this,” “another,” “in addition,” “finally,” “in conclusion,” etc. These terms will help outline your paper for the reader.

For more helpful information on academic writing and the journal publication process, visit Wordvice’s  Academic Resources  Page. And be sure to check out Wordvice’s professional English editing services if you are looking for  paper editing and proofreading  after composing your academic document.

 Wordvice Tools

• Wordvice APA Citation Generator
• Wordvice MLA Citation Generator
• Wordvice Chicago Citation Generator
• Wordvice Vancouver Citation Generator
• Wordvice Plagiarism Checker
• Editing & Proofreading Guide

Wordvice Resources

• How to Write the Best Journal Submissions Cover Letter
• 100+ Strong Verbs That Will Make Your Research Writing Amazing
• How to Write an Abstract
• Which Tense to Use in Your Abstract
• Active and Passive Voice in Research Papers
• Common Phrases Used in Academic Writing

Other Resources Around the Web

• MSU Writing Center.  Transition Words.
• UW-Madison Writing Center.  Transition Words and Phrases.

Synonyms of research

• as in investigation
• as in to explore
• More from M-W
• To save this word, you'll need to log in. Log In

Thesaurus Definition of research

 (Entry 1 of 2)

Synonyms & Similar Words

• investigation
• exploration
• examination
• inquisition
• disquisition
• questionnaire
• interrogation
• reinvestigation
• soul - searching
• cross - examination
• questionary
• self - examination
• self - reflection
• self - exploration
• going - over
• self - scrutiny
• self - questioning

Thesaurus Definition of research  (Entry 2 of 2)

• investigate
• look (into)
• inquire (into)
• delve (into)
• check up on
• skim (through)
• thumb (through)
• reinvestigate

Examples of research in a Sentence

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'research.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Thesaurus Entries Near research

Cite this entry.

“Research.” Merriam-Webster.com Thesaurus , Merriam-Webster, https://www.merriam-webster.com/thesaurus/research. Accessed 19 Aug. 2024.

More from Merriam-Webster on research

Nglish: Translation of research for Spanish Speakers

Britannica English: Translation of research for Arabic Speakers

Britannica.com: Encyclopedia article about research

Subscribe to America's largest dictionary and get thousands more definitions and advanced search—ad free!

Can you solve 4 words at once?

Word of the day.

See Definitions and Examples »

Get Word of the Day daily email!

Popular in Grammar & Usage

Plural and possessive names: a guide, 31 useful rhetorical devices, more commonly misspelled words, absent letters that are heard anyway, how to use accents and diacritical marks, popular in wordplay, 8 words for lesser-known musical instruments, it's a scorcher words for the summer heat, 7 shakespearean insults to make life more interesting, 10 words from taylor swift songs (merriam's version), 9 superb owl words, games & quizzes.

• Help Center

Thesaurus for Research paper

Related terms for research paper - synonyms, antonyms and sentences with research paper, similar meaning.

• position paper
• conclusions
• examination
• statement of belief
• substantial research paper
• research job
• scientific article
• scientific paper

Opposite meaning

• creative writing
• negative feedback
• disinterest
• foolishness
• carelessness
• indifference
• lack of attention
• lack of care

Common usage

• research method
• research opinion
• research productivity
• research professor
• research proposal
• research result
• research schedule
• research station
• research study
• research topic
• research and analysis
• research and development
• research and production company
• research and technic company
• research chemist
• research consultancy
• research cooperation
• research design
• research effort
• research fellow
• research findings
• research grant
• research head
• research institute
• research integrity

Sentence Examples

Proper usage in context.

• A research paper
• I'm doing a research paper on schizophrenia
• My research paper was selected
• The original research paper on this subject was done in 1993
• The research paper our parents wrote

Grab your spot at the free arXiv Accessibility Forum

Help | Advanced Search

Computer Science > Computation and Language

Title: mutual reasoning makes smaller llms stronger problem-solvers.

Abstract: This paper introduces rStar, a self-play mutual reasoning approach that significantly improves reasoning capabilities of small language models (SLMs) without fine-tuning or superior models. rStar decouples reasoning into a self-play mutual generation-discrimination process. First, a target SLM augments the Monte Carlo Tree Search (MCTS) with a rich set of human-like reasoning actions to construct higher quality reasoning trajectories. Next, another SLM, with capabilities similar to the target SLM, acts as a discriminator to verify each trajectory generated by the target SLM. The mutually agreed reasoning trajectories are considered mutual consistent, thus are more likely to be correct. Extensive experiments across five SLMs demonstrate rStar can effectively solve diverse reasoning problems, including GSM8K, GSM-Hard, MATH, SVAMP, and StrategyQA. Remarkably, rStar boosts GSM8K accuracy from 12.51% to 63.91% for LLaMA2-7B, from 36.46% to 81.88% for Mistral-7B, from 74.53% to 91.13% for LLaMA3-8B-Instruct. Code will be available at this https URL .

Submission history

Access paper:.

• HTML (experimental)
• Other Formats

References & Citations

• Google Scholar
• Semantic Scholar

BibTeX formatted citation

Bibliographic and Citation Tools

Code, data and media associated with this article, recommenders and search tools.

• Institution

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Academic Vocabulary: Find the Right Academic Synonyms in One Click with Paperpal

Academic vocabulary refers to the words and phrases used in academic contexts, such as scholarly articles, reports, and lectures/seminars. 1 While general academic words are usually learnt through exposure to academic texts, 2 navigating the world of global scholarly literature and academic discourse necessitates a certain level of proficiency in English. This is because English remains the lingua franca of the global research community, whose main modes of academic outreach are research papers and journal articles.

Unlike fiction and general writing, drafting a research paper in English could present some hurdles for researchers with English as a second language. A global English readership, a niche audience—mainly comprising fellow researchers—and the need for a formal and academic tone are some of the hurdles one may face. Moreover, research papers, across most journals and subject areas, are largely rigid in their vocabulary expectations. Authors, therefore, are limited when it comes to introducing a lot of word choice variations in their papers. Inevitably, this leads to the issue of redundancy and monotony in academic vocabulary and literature.

A thought experiment

Consider the following sentences that establish the importance of a research topic:

• X is fundamental to…
• X is important for…
• X is pivotal to…
• X plays a vital role…
• X plays a critical role…

All the above phrases present the same idea but with different word choices.

Now, imagine having to search for the synonyms of 100 words in a 5,000-word research paper that you are drafting. A dictionary/thesaurus is usually the best place for this task.

At first glance, it seems like a simple task, right?

However, could you be certain that the synonym you chose is preferred in academic writing and literature and that it is widely accepted in the academic English vocabulary? Perhaps, like most researchers, you may diligently search for that specific synonymous word in an academic corpus like Google Scholar, PubMed, Web of Science, etc. And based on the number of hits for that word, you may either choose to use that synonym or search for another one.

Conservatively, assuming it takes about 3 tries (dictionary search + corpus search) to find the right synonym for a given word and each search takes about 5 minutes, it adds up to a ridiculous amount of time and effort spent just finding one set of synonyms to use in a research paper. Now multiply this by 100 and you can immediately see how finding appropriate academic synonyms could be frustrating for already busy researchers.

Making the right choice: Contextual synonyms in Paperpal

Which of the synonyms would you use for “premature” within the academic context in a reproductive biology paper?

Make the mistake of using “inopportune, unseasonable, untimely, incomplete, immature, early on, etc.” and you are certain to get a reviewer comment on word choice!

What then could be a solution?

At Paperpal, we live by the motto of helping every researcher write better. We have therefore integrated a solution for this tedious problem right into our AI-based academic editing tool .

Our contextual academic synonym checker is a proprietary, one-click solution, which is integrated into Paperpal for Word and Paperpal for Web . Upon selecting a word, our sophisticated algorithm retrieves contextually relevant synonyms for that word from a large multidisciplinary corpus of published research papers and ranks them based on frequency and usage. As a researcher, all you need to do is select a word; Paperpal then automatically searches through high-impact articles to see how that word has been used in previously published manuscripts/academic corpus, ranks the results, and presents you with multiple relevant academic word choices for your target word.

Reduce the risks of improper word choice with Paperpal’s contextual synonyms. Try it now!

A general-purpose dictionary lacks information about whether and how a word has been used in broader academic vocabulary and how a word ranks in terms of its popularity in the academic corpus. At Paperpal, we understand this limitation presented by generic dictionaries which is why we designed this contextual synonym checker for researchers, keeping in mind scholarly literature and academic vocabulary.

How does our solution help researchers?

Better word choices confer better academic vocabulary. It obviates the need for future English corrections, especially for errors in academic English vocabulary. Our solution ensures that your choice of synonymous word is tailored to academic literature and allows you to validate its usage based on how it is used in previously published papers.

Say goodbye to multiple tabs; no more unnecessary dictionary searching and no more academic corpus referencing for synonymous words! Selecting the word of your choice…that’s all it should take to improve your academic vocabulary and find the right word choice. So search for academic synonyms for research papers on-the-go with Paperpal. Optimize your academic writing, try Paperpal now!

References:

1. Academic vocabulary. EAP Foundation. Available online at: https://www.eapfoundation.com/vocab/academic/ [Accessed: October 20, 2022].

2. Lawrence, J.F., Knoph, R., McIlraith, A., Kulesz, P.A., and Francis, D.J., 2022. Reading comprehension and academic vocabulary: Exploring relations of item features and reading proficiency.  Reading Research Quarterly ,  57 (2), 669-690. https://ila.onlinelibrary.wiley.com/doi/full/10.1002/rrq.434

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Transition Phrases in Academic Writing
• How to Fix Sentence Fragments in Your Writing 
• Into vs. Onto: Do They Confuse You Too?
• Palette vs. Pallet vs. Palate: Understanding the Difference

Understanding the Difference Between To and Too

How to choose and write reasons supporting your peer reviewer recommendations, you may also like, cite sources accurately in 10,000+ styles with paperpal’s..., maintaining academic integrity with paperpal’s generative ai writing..., how to structure an essay, leveraging generative ai to enhance student understanding of..., addressing peer review feedback and mastering manuscript revisions..., how paperpal can boost comprehension and foster interdisciplinary..., introducing paperpal predictive text suggestions: transform ideas into..., mla works cited page: format, template & examples, how to ace grant writing for research funding..., powerful academic phrases to improve your essay writing .

• Daily Crossword
• Word Puzzle
• Word Finder
• Word of the Day
• Synonym of the Day
• Word of the Year
• Language stories
• All featured
• Gender and sexuality
• All pop culture
• Writing hub
• Grammar essentials
• Commonly confused
• All writing tips
• Pop culture
• Writing tips

Advertisement

• research paper

noun as in position paper

Weak matches

• policy report
• statement of belief
• statement of principles

noun as in term paper

Related Words

Words related to research paper are not direct synonyms, but are associated with the word research paper . Browse related words to learn more about word associations.

noun as in paper stating beliefs

noun as in long student essay

From Roget's 21st Century Thesaurus, Third Edition Copyright © 2013 by the Philip Lief Group.

Political Partisanship and Remote Work: Evidence from U.S. States

We examine how politics and policy have affected remote-work rates in the wake of the COVID-19 pandemic. Using the Current Population Survey, American Community Survey, and the American Time Use Survey, which have several different measures of remote work, we examine how trends in remote work vary by state-level characteristics. We show that state-level measures of the length and stringency of COVID protection policies are not correlated with changes in remote work from before to after the pandemic once a measure of political partisanship (Democratic vote share in the 2020 presidential election) is included in the model. An increase in 2020 Democratic vote share of one standard deviation (about 9 percentage points) is related to an increase in the likelihood of remote work by 1-2 percentage points and the share of remote work by about 3-5 percent. These effects represent roughly 15-25% of pre-COVID means. These results are robust to the inclusion of not only a rich set of individual controls (e.g., occupational telework potential) but also several different state-level controls, including COVID policy indices, cases and deaths, vaccination rates, and economic performance indicators. We conclude that relative increases in remote work across states that are associated with a higher 2020 Democratic vote share cannot be easily explained by differences in COVID-era policies or outcomes or differences in the nature of jobs across states.

The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

MARC RIS BibTeΧ

Download Citation Data

• data appendix

More from NBER

In addition to working papers , the NBER disseminates affiliates’ latest findings through a range of free periodicals — the NBER Reporter , the NBER Digest , the Bulletin on Retirement and Disability , the Bulletin on Health , and the Bulletin on Entrepreneurship  — as well as online conference reports , video lectures , and interviews .

Research paper synonyms

What is another word for research paper .

• paper long student essay
• study long student essay
• manifesto paper stating beliefs
• outline paper stating beliefs
• plank paper stating beliefs
• platform paper stating beliefs
• prospectus paper stating beliefs
• policy report
• statement of belief
• statement of principles
• discourse long student essay
• monograph long student essay
• report long student essay
• position paper
• conclusions

Suggestions or feedback?

MIT News | Massachusetts Institute of Technology

• Machine learning
• Sustainability
• Black holes
• Classes and programs

Departments

• Aeronautics and Astronautics
• Brain and Cognitive Sciences
• Architecture
• Political Science
• Mechanical Engineering

Centers, Labs, & Programs

• Abdul Latif Jameel Poverty Action Lab (J-PAL)
• Picower Institute for Learning and Memory
• Lincoln Laboratory
• School of Architecture + Planning
• School of Engineering
• School of Humanities, Arts, and Social Sciences
• Sloan School of Management
• School of Science
• MIT Schwarzman College of Computing

Study reveals ways in which 40Hz sensory stimulation may preserve brain’s “white matter”

Press contact :.

Previous image Next image

Early-stage trials in Alzheimer’s disease patients and studies in mouse models of the disease have suggested positive impacts on pathology and symptoms from exposure to light and sound presented at the “gamma” band frequency of 40 hertz (Hz). A new study zeroes in on how 40Hz sensory stimulation helps to sustain an essential process in which the signal-sending branches of neurons, called axons, are wrapped in a fatty insulation called myelin. Often called the brain’s “white matter,” myelin protects axons and insures better electrical signal transmission in brain circuits.

“Previous publications from our lab have mainly focused on neuronal protection,” says Li-Huei Tsai , Picower Professor in The Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences at MIT and senior author of the new open-access study in Nature Communications . Tsai also leads MIT’s Aging Brain Initiative. “But this study shows that it’s not just the gray matter, but also the white matter that’s protected by this method.”

This year Cognito Therapeutics, the spinoff company that licensed MIT’s sensory stimulation technology, published phase II human trial results in the Journal of Alzheimer’s Disease indicating that 40Hz light and sound stimulation significantly slowed the loss of myelin in volunteers with Alzheimer’s. Also this year, Tsai’s lab published a study showing that gamma sensory stimulation helped mice withstand neurological effects of chemotherapy medicines, including by preserving myelin. In the new study, members of Tsai’s lab led by former postdoc Daniela Rodrigues Amorim used a common mouse model of myelin loss — a diet with the chemical cuprizone — to explore how sensory stimulation preserves myelination.

Amorim and Tsai’s team found that 40Hz light and sound not only preserved myelination in the brains of cuprizone-exposed mice, it also appeared to protect oligodendrocytes (the cells that myelinate neural axons), sustain the electrical performance of neurons, and preserve a key marker of axon structural integrity. When the team looked into the molecular underpinnings of these benefits, they found clear signs of specific mechanisms including preservation of neural circuit connections called synapses; a reduction in a cause of oligodendrocyte death called “ferroptosis;” reduced inflammation; and an increase in the ability of microglia brain cells to clean up myelin damage so that new myelin could be restored.

“Gamma stimulation promotes a healthy environment,” says Amorim, who is now a Marie Curie Fellow at the University of Galway in Ireland. “There are several ways we are seeing different effects.”

The findings suggest that gamma sensory stimulation may help not only Alzheimer’s disease patients but also people battling other diseases involving myelin loss, such as multiple sclerosis, the authors wrote in the study.

Maintaining myelin

To conduct the study, Tsai and Amorim’s team fed some male mice a diet with cuprizone and gave other male mice a normal diet for six weeks. Halfway into that period, when cuprizone is known to begin causing its most acute effects on myelination, they exposed some mice from each group to gamma sensory stimulation for the remaining three weeks. In this way they had four groups: completely unaffected mice, mice that received no cuprizone but did get gamma stimulation, mice that received cuprizone and constant (but not 40Hz) light and sound as a control, and mice that received cuprizone and also gamma stimulation.

After the six weeks elapsed, the scientists measured signs of myelination throughout the brains of the mice in each group. Mice that weren’t fed cuprizone maintained healthy levels, as expected. Mice that were fed cuprizone and didn’t receive 40Hz gamma sensory stimulation showed drastic levels of myelin loss. Cuprizone-fed mice that received 40Hz stimulation retained significantly more myelin, rivaling the health of mice never fed cuprizone by some, but not all, measures.

The researchers also looked at numbers of oligodendrocytes to see if they survived better with sensory stimulation. Several measures revealed that in mice fed cuprizone, oligodendrocytes in the corpus callosum region of the brain (a key point for the transit of neural signals because it connects the brain’s hemispheres) were markedly reduced. But in mice fed cuprizone and also treated with gamma stimulation, the number of cells were much closer to healthy levels.

Electrophysiological tests among neural axons in the corpus callosum showed that gamma sensory stimulation was associated with improved electrical performance in cuprizone-fed mice who received gamma stimulation compared to cuprizone-fed mice left untreated by 40Hz stimulation. And when researchers looked in the anterior cingulate cortex region of the brain, they saw that MAP2, a protein that signals the structural integrity of axons, was much better preserved in mice that received cuprizone and gamma stimulation compared to cuprizone-fed mice who did not.

A key goal of the study was to identify possible ways in which 40Hz sensory stimulation may protect myelin.

To find out, the researchers conducted a sweeping assessment of protein expression in each mouse group and identified which proteins were differentially expressed based on cuprizone diet and exposure to gamma frequency stimulation. The analysis revealed distinct sets of effects between the cuprizone mice exposed to control stimulation and cuprizone-plus-gamma mice.

A highlight of one set of effects was the increase in MAP2 in gamma-treated cuprizone-fed mice. A highlight of another set was that cuprizone mice who received control stimulation showed a substantial deficit in expression of proteins associated with synapses. The gamma-treated cuprizone-fed mice did not show any significant loss, mirroring results in a 2019 Alzheimer’s 40Hz study that showed synaptic preservation. This result is important, the researchers wrote, because neural circuit activity, which depends on maintaining synapses, is associated with preserving myelin. They confirmed the protein expression results by looking directly at brain tissues.

Another set of protein expression results hinted at another important mechanism: ferroptosis. This phenomenon, in which errant metabolism of iron leads to a lethal buildup of reactive oxygen species in cells, is a known problem for oligodendrocytes in the cuprizone mouse model. Among the signs was an increase in cuprizone-fed, control stimulation mice in expression of the protein HMGB1, which is a marker of ferroptosis-associated damage that triggers an inflammatory response. Gamma stimulation, however, reduced levels of HMGB1.

Looking more deeply at the cellular and molecular response to cuprizone demyelination and the effects of gamma stimulation, the team assessed gene expression using single-cell RNA sequencing technology. They found that astrocytes and microglia became very inflammatory in cuprizone-control mice but gamma stimulation calmed that response. Fewer cells became inflammatory and direct observations of tissue showed that microglia became more proficient at clearing away myelin debris, a key step in effecting repairs.

The team also learned more about how oligodendrocytes in cuprizone-fed mice exposed to 40Hz sensory stimulation managed to survive better. Expression of protective proteins such as HSP70 increased and as did expression of GPX4, a master regulator of processes that constrain ferroptosis.

In addition to Amorim and Tsai, the paper’s other authors are Lorenzo Bozzelli, TaeHyun Kim, Liwang Liu, Oliver Gibson, Cheng-Yi Yang, Mitch Murdock, Fabiola Galiana-Meléndez, Brooke Schatz, Alexis Davison, Md Rezaul Islam, Dong Shin Park, Ravikiran M. Raju, Fatema Abdurrob, Alissa J. Nelson, Jian Min Ren, Vicky Yang and Matthew P. Stokes.

Fundacion Bancaria la Caixa, The JPB Foundation, The Picower Institute for Learning and Memory, the Carol and Gene Ludwig Family Foundation, Lester A. Gimpelson, Eduardo Eurnekian, The Dolby Family, Kathy and Miguel Octavio, the Marc Haas Foundation, Ben Lenail and Laurie Yoler, and the U.S. National Institutes of Health provided funding for the study.

Share this news article on:

Related links.

• Li-Huei Tsai
• The Picower Institute for Learning and Memory
• Department of Brain and Cognitive Sciences

Related Topics

• Alzheimer's
• Brain and cognitive sciences
• Neuroscience
• Picower Institute

Related Articles

A noninvasive treatment for “chemo brain”

How sensory gamma rhythm stimulation clears amyloid in Alzheimer’s mice

Evidence that gamma rhythm stimulation can treat neurological disorders is emerging

40 Hz vibrations reduce Alzheimer’s pathology, symptoms in mouse models

Small studies of 40-hertz sensory stimulation confirm safety, suggest Alzheimer’s benefits

Previous item Next item

More MIT News

When the lights turned on in the universe

Read full story →

3 Questions: How to prove humanity online

Lincoln Laboratory and National Strategic Research Institute launch student research program to tackle biothreats to national security

Christine Ortiz named director of MIT Technology and Policy Program

MIT engineers design tiny batteries for powering cell-sized robots

New open-source tool helps to detangle the brain

• More news on MIT News homepage →

Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA, USA

• Map (opens in new window)
• Events (opens in new window)
• People (opens in new window)
• Careers (opens in new window)
• Accessibility
• Social Media Hub
• MIT on Facebook
• MIT on YouTube
• MIT on Instagram

• Share full article

Three Studies of MDMA Treatment Retracted by Scientific Journal

The psychedelic treatment, for PTSD, was rejected last week by government regulators.

Doses of MDMA, also known as Ecstasy, in street form. Researchers have been testing the drug as a treatment for PTSD. Credit... Universal History Archive, via Getty Images

Supported by

By Andrew Jacobs

• Aug. 12, 2024

The journal Psychopharmacology has retracted three papers about MDMA-assisted therapy based on what the publication said was unethical conduct at one of the study sites where the research took place.

Several of the papers’ authors are affiliated with Lykos Therapeutics, the drug company whose application for MDMA-assisted therapy to treat post-traumatic stress disorder was rejected last week by the Food and Drug Administration.

The company said the research in the retracted papers was not part of its application to the F.D.A.

In declining to approve Lykos’s application, the agency cited concerns about missing data and problems with the way the company’s study was designed, according to a statement released by Lykos on Friday.

The F.D.A. has asked Lykos to conduct an additional clinical trial of its MDMA-assisted therapy, which would have been the first psychedelic medicine to win approval by federal regulators. Lykos has said it would appeal the decision.

The journal retraction was first reported by Stat, the health and medical news website.

On Sunday, Lykos said that it disagreed with Psychopharmacology’s decision and that it would file an official complaint with the Committee on Publication Ethics, a nonprofit that sets guidelines for academic publications.

“The articles remain scientifically sound and present important contributions to the study of potential treatments for PTSD,” the company said in the statement.

The incident cited by Psychopharmacology has been well documented.

In 2015, an unlicensed Canadian therapist who took part in the trial engaged in a sexual relationship with a participant after the conclusion of the trial’s dosing sessions.

In civil court documents , the patient, Meaghan Buisson, said she was sexually assaulted by the therapist, Richard Yensen, who at the time was working alongside his wife, a licensed therapist.

Mr. Yensen has said the relationship was consensual and initiated by Ms. Buisson. Six months after the final session, she moved from Vancouver to Cortes Island, in British Columbia, where the couple lived, according to court documents .

The relationship between patient and practitioner continued for more than a year, the documents said. Professional associations in both Canada and the United States prohibit sexual relationships between psychologists and patients for at least two years after their final session.

The incident helped highlight some of the challenges associated with psychedelic medicine, which can render patients especially vulnerable during dosing sessions.

For that reason, most clinical trials involving psychedelic compounds require the presence of two mental health professionals. (Lykos’s trials with MDMA require only one of the practitioners to be licensed.)

The Multidisciplinary Association for Psychedelic Studies, or MAPS, is the nonprofit that carried out the research and later created Lykos to market its proprietary MDMA-assisted therapy. The association publicly acknowledged the incident in 2019, adding that it had been reported to the F.D.A. and to Canadian health authorities.

The company acknowledged on Sunday that it had failed to notify Psychopharmacology about the violations, but it said that the oversight should have been addressed through a correction, not a retraction.

Andrew Jacobs is a Times reporter focused on how healthcare policy, politics and corporate interests affect people’s lives. More about Andrew Jacobs

Advertisement