other terms for research paper

50 Useful Academic Words & Phrases for Research

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

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

What are academic words and phrases?

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

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

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

How to Choose the Best Academic Terms

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

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

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

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

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

Best Words and Phrases to use in an Introduction section

1. historically.

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

2. In recent years

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

3. It is widely acknowledged that

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

4. There has been growing interest in

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

5. Preliminary observations indicate

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

6. This study aims to

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

7. Despite its significance

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

8. While numerous studies have focused on

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

9. The purpose of this research is

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

10. The question arises (about/whether)

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

Best Words and Phrases for Clarifying Information

11. in other words.

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

12. That is to say

Provides clarification, similar to “in other words.”

13. To put it simply

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

14. To clarify

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

15. More specifically

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

16. To elaborate

Expands on a point made previously.

17. In detail

Indicates a deeper dive into information.

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

19. This means that

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

20. Moreover

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

Best Words and Phrases for Giving Examples

21. for instance.

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

22. As an illustration

Demonstrates a point in full or in part.

23. To illustrate

Shows a clear picture of the point being made.

24. For example

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

25. Such as

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

26. Including

Offers examples as part of a larger list.

27. Notably

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

28. Especially

Adverb that emphasizes a significant instance.

29. In particular

Draws attention to a specific point.

30. To name a few

Indicates examples than previously mentioned are about to be named.

Best Words and Phrases for Comparing and Contrasting

31. however.

Introduces a contrasting idea.

32. On the other hand

Highlights an alternative view or fact.

33. Conversely

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

34. Similarly

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

35. Likewise

Indicates agreement with a previous point.

36. In contrast

Draws a distinction between two points.

37. Nevertheless

Introduces a contrasting point, despite what has been said.

38. Whereas

Compares two distinct entities or ideas.

Indicates a contrast between two points.

Signals an unexpected contrast.

Best Words and Phrases to use in a Conclusion section

41. in conclusion.

Signifies the beginning of the closing argument.

42. To sum up

Offers a brief summary.

43. In summary

Signals a concise recap.

44. Ultimately

Reflects the final or main point.

45. Overall

Gives a general concluding statement.

Indicates a resulting conclusion.

Demonstrates a logical conclusion.

48. Therefore

Connects a cause and its effect.

49. It can be concluded that

Clearly states a conclusion derived from the data.

50. Taking everything into consideration

Reflects on all the discussed points before concluding.

Edit Your Research Terms and Phrases Before Submission

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

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

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

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• 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.

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How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

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Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications. If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

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What is a research paper?

A research paper is a paper that makes an argument about a topic based on research and analysis.

Any paper requiring the writer to research a particular topic is a research paper. Unlike essays, which are often based largely on opinion and are written from the author's point of view, research papers are based in fact.

A research paper requires you to form an opinion on a topic, research and gain expert knowledge on that topic, and then back up your own opinions and assertions with facts found through your thorough research.

➡️ Read more about  different types of research papers .

What is the difference between a research paper and a thesis?

A thesis is a large paper, or multi-chapter work, based on a topic relating to your field of study.

A thesis is a document students of higher education write to obtain an academic degree or qualification. Usually, it is longer than a research paper and takes multiple years to complete.

Generally associated with graduate/postgraduate studies, it is carried out under the supervision of a professor or other academic of the university.

A major difference between a research paper and a thesis is that:

• a research paper presents certain facts that have already been researched and explained by others
• a thesis starts with a certain scholarly question or statement, which then leads to further research and new findings

This means that a thesis requires the author to input original work and their own findings in a certain field, whereas the research paper can be completed with extensive research only.

➡️ Getting ready to start a research paper or thesis? Take a look at our guides on how to start a research paper or how to come up with a topic for your thesis .

Frequently Asked Questions about research papers

Take a look at this list of the top 21 Free Online Journal and Research Databases , such as ScienceOpen , Directory of Open Access Journals , ERIC , and many more.

Mason Porter, Professor at UCLA, explains in this forum post the main reasons to write a research paper:

• To create new knowledge and disseminate it.
• To teach science and how to write about it in an academic style.
• Some practical benefits: prestige, establishing credentials, requirements for grants or to help one get a future grant proposal, and so on.

Generally, people involved in the academia. Research papers are mostly written by higher education students and professional researchers.

Yes, a research paper is the same as a scientific paper. Both papers have the same purpose and format.

A major difference between a research paper and a thesis is that the former presents certain facts that have already been researched and explained by others, whereas the latter starts with a certain scholarly question or statement, which then leads to further research and new findings.

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Research Paper – Structure, Examples and Writing Guide

Table of Contents

Research Paper

Definition:

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

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

Structure of Research Paper

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

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

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

Introduction

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

Literature Review

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

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

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

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

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

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

How to Write Research Paper

You can write Research Paper by the following guide:

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

Research Paper Example

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

Research Paper Example sample for Students:

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

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

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

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

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

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

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

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

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

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

References :

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

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

Social Media and Mental Health Survey

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

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

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

When to Write Research Paper

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

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

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

Purpose of Research Paper

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

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

Characteristics of Research Paper

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

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

Advantages of Research Paper

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

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

Limitations of Research Paper

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

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

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Key research terms.

bias: any influence that may distort the results of a research study and lead to error; the loss of balance and accuracy in the use of research methods.

case study: presentation of data about selected settings, persons, groups or events. Data can have been gathered using variety of different research methods (e.g., questionnaire, observation, historical or literary analysis). Is chiefly descriptive and analytical, usually based on qualitative data, though statistics such as survey findings may be included.

causal relationship: relationship between variables where movements in one or more variable(s) are held to cause changes in the other (s).

coded data: data are put into groups or categories, such as age groups, and each category is given a code number. Data are usually coded for convenience, speed, and handling to enable statistical analysis. construct: a mental state that can’t be directly observed or manipulated, such as love, intelligence, hunger, feeling warm, and aggression; a concept developed (constructed) for describing relations among or between phenomena or for other research purposes.

construct validity: the degree to which the study actually measures and manipulates the elements that the researcher claims to be measuring and manipulating. If the operational definitions of the constructs are poor, the study will not have good construct validity. For example, a test claiming to measure “aggressiveness” would not have construct validity if it really measured assertiveness.

internal validity: the degree to which the study demonstrates that a particular factor caused a change in behavior. If a study lacks internal validity, the researcher may falsely believe that a factor causes an effect when it really doesn’t. Most studies involving humans do not have internal validity because they can’t rule out the possibility that some other factor may have been responsible for the effect.

controls: processes used to make uniform or constant the conditions for carrying out an investigation.

control group: in experimental research, the group or item which does not receive the treatment or intervention under investigation and is used to compare outcomes with the one that does. correlation: the extent to which two or more factors vary in relationship to one another; the extent of association between two or more variables. Correlation does not equal causation. For example, might suggest relationship between academic success and self-esteem, but cannot prove that a change in first variable causes a change in second variable. correlation coefficient: a measure of the degree of relationship between two variables. It usually lies between +1 (showing a perfect positive relationship), 0 (showing no relationship), to -1.0 (showing a perfect negative relationship). dependent variable: variable thought to be determined or influenced by others.

experiment: a special type of study (not all studies are experiments!) that allows researchers to determine the cause of an effect; usually involves randomly assigning participants to groups.

external validity: the degree to which the results of the study can be generalized to other places, people, or times.

hypothesis: a proposition which research sets out to prove or disprove: “experimental” where the hypothesis is a positive statement, or “null” where statement contains a negative.

independent variable: a variable that researcher believes precedes, influences or predicts the dependent variable.

informed consent: giving potential participants information about the study, especially in terms of factors that might lead them to refuse to be in the study, before they decide whether to participate. Institutional Review Board (IRB): a committee of at least five members--one of whom must be a nonscientist--that review proposed research and monitor approved research in an effort to protect human research participants.

literature review: often the first step in the research process, it is a review of the literature on and around the subject of inquiry. Its main purposes are to avoid duplication, to identify gaps in research and to place the researcher’s approach within the work and approaches of others.

primary/secondary sources: primary sources are original firsthand records or materials relating to an event or happening. They may include, for example, official minutes of meetings, diaries, verbatim transcripts of interviews, completed questionnaires or records of the results of experiments. Secondary sources are accounts bases upon these, which usually offer an interpretation, commentary, analysis, or restatement of the primary sources. They can include, for example, books, journal articles, and conference papers.

qualitative data: information gathered in narrative, non-numerical form (e.g., transcript of an interview). Qualitative research used for exploratory (hypothesis-generating) purposes or explaining puzzling quantitative results, while quantitative methods are used to test hypotheses.

quantitative data: information gathered in numerical form. reliability: extent to which the same result will be repeated/achieved by using the same measure.

statistical significance: tests used to estimate the likelihood that the finding in a sample is true of the population from which the sample is derived and not due to chance.

simple experiment: used to establish cause and effect, so this type often used to determine effect of treatment. Participants randomly assigned to either control group with no treatment, while the experimental group receives treatment.

validity: extent to which research findings can be said to be accurate and reliable; degree to which conclusions are justified. Internal validity is extent to which researchers can show that they have evidence for the statements they make; external validity refers to a study’s generalizability.

Synonyms of research

• as in investigation
• as in to explore
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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

Thesaurus Entries Near research

Cite this entry.

“Research.” Merriam-Webster.com Thesaurus , Merriam-Webster, https://www.merriam-webster.com/thesaurus/research. Accessed 2 May. 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

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Your Guide to Understanding Common Research Terms

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                              Demystifying Clinical Trials -- Part 2

The clinical research world can sometimes seem confusing. Research teams have many people in different roles, and they may use words that are unfamiliar to people outside of research work.

The guide below defines some commonly used words and phrases. Let us know in the comments below or on our Facebook , Twitter , or Instagram pages if you’d like definitions of other words or parts of the research process!

Accrual – the number of subjects who have completed or are actively in the process of completing a study. The accrual goal is how many subjects are needed to finish the study (2).

Adverse event (AE) – a negative symptom or experience encountered by an subject during the course of a clinical trial. Adverse events can be expected or unexpected.

Assent – a minor child’s affirmative agreement to participate in a clinical trial. Failure to object may not be taken as assent.

Clinical research coordinator – a study team member who manages the day-to-day study tasks as directed by the principal investigator. (3)

Consent form – a document explaining all relevant study information to assist the study subject in understanding the expectations and requirements of participating in the trial. This document is presented to and signed by the study subject.

Control arm/group – a comparison group of study subjects who are not treated with the investigational agent. The subjects in this group have the same disease or condition under study, but receive either a different treatment, no treatment, or a placebo.

Data – the objective information gathered during a research study that is used to determine the results of the study.

De-identification – the process of removing identifiers (personal names, dates, social security numbers, etc.) that directly or indirectly point to a person, and removing those identifiers from the data. De-identification of protected health information is essential for protecting patient privacy (4).

Enroll/Enrollment – the process of an eligible participant signing a consent form and voluntarily agreeing to participate in a research study (2).

Ethics committee – an independent group of both medical and non-medical professionals who are responsible for verifying the integrity of a study and ensuring the safety, integrity, and human rights of the study participants.

Food and Drug Administration (FDA) – the agency within the Department of Health and Human Services (DHHS) that enforces public health laws related to research conduct.

Greater than minimal risk – the research involves more than minimal risk to subjects (2).

Health Insurance Portability and Accountability Act of 1996 (HIPAA) – required the Department of Health & Human Services to develop regulations protecting the privacy and security of certain health information (5). The HIPAA Privacy Rule established the conditions under which health information may be used or disclosed by approved entities for research purposes (6).

Hypothesis – a specific, clear, and testable proposition or prediction about the possible outcome of a scientific research study (7).

Informed consent – the process of discussing a clinical trial that goes beyond signing the consent form. The discussion should provide sufficient information so that a subject can make an informed decision about whether or not to enroll in a study, or continue participation in a study. Informed consent is a voluntary agreement to participate in research, and should be an ongoing conversation throughout a subject’s entire time in the study (8).

Investigational New Drug Application (IND) – the process through which an investigator requests the FDA to allow human testing of a new drug.

Institutional Review Board (IRB) – an independent group of professionals designated to review and approve the clinical protocol, informed consent forms, study advertisements, and patient brochures to ensure that the study is safe for human participation. It is also the IRB’s responsibility to ensure that the study adheres to the FDA’s regulations.

Minimal risk – the probability that harm or discomfort anticipated in the research study are not greater than those encountered in daily life or during routine physical examinations (2).

National Institutes of Health (NIH) – agency within DHHS that provides funding for research, conducts studies, and funds multi-site national studies.

Protected Health Information (PHI) – individually identifiable health information. HIPAA provides federal protections for personal health information and gives patients more control over their health information. It also sets boundaries for how entities and institutions can use and release health records (9).

Placebo – an inactive substance designed to resemble the drug being tested. It is used as a control to rule out any psychological effects testing may present. Most advanced clinical trials include a control group that is unknowingly taking a placebo.

Principal Investigator – the primary individual responsible for conducting a clinical trial and adhering to federal regulations, institutional policies, and IRB regulations (2).

Protocol – a detailed plan that sets out the objectives, study design, and methodology for a clinical trial. A study protocol must be approved by an IRB before research may begin on human subjects.

Randomization – study participants are assigned to groups in such a way that each participant has an equal chance of being assigned to each treatment or control group. Since randomization ensures that no specific criteria are used to assign any patients to a particular group, all the groups will be equally comparable.

Research – systematic investigation designed to develop or contribute to generalizable knowledge.

Standard treatment/Standard of care – the currently accepted treatment or intervention considered to be effective in the treatment of a specific disease or condition.

Statistical significance – the probability that an event or difference was occurred by chance alone. In clinical trials, the level of statistical significance depends on the number or participants studied and the observations made, as well as the magnitude of differences observed.

Subject/Participant – a patient or healthy individual participating in a research study.

Treatment arm/group – a group of study subjects who are treated with the investigational agent.

Visit schedule/Test schedule – the number, frequency, and type of exams, tests, and procedures that research subjects will be expected to undergo during the study. Some visits may be the same as normal clinical care visits, while others may be required just for the purpose of collecting data for the research study.

Definitions taken from https://www.centerwatch.com/health-resources/glossary/ unless otherwise cited.

(2) https://www.mayo.edu/research/institutional-review-board/definition-terms

(3) https://acrpnet.org/2018/08/14/the-anatomy-of-a-great-clinical-research-coordinator/

(4) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977668/

(5) https://www.hhs.gov/hipaa/for-professionals/privacy/index.html

(6) https://www.hhs.gov/hipaa/for-professionals/special-topics/research/index.html

(7) https://methods.sagepub.com/Reference//encyclopedia-of-survey-research-methods/n472.xml

(8) https://oprs.usc.edu/files/2017/04/Informed-Consent-Booklet-4.4.13.pdf

(9) https://www.hhs.gov/hipaa/for-individuals/faq/187/what-does-the-hipaa-privacy-rule-do/index.html

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13.1 Formatting a Research Paper

Learning objectives.

• Identify the major components of a research paper written using American Psychological Association (APA) style.
• Apply general APA style and formatting conventions in a research paper.

In this chapter, you will learn how to use APA style , the documentation and formatting style followed by the American Psychological Association, as well as MLA style , from the Modern Language Association. There are a few major formatting styles used in academic texts, including AMA, Chicago, and Turabian:

• AMA (American Medical Association) for medicine, health, and biological sciences
• APA (American Psychological Association) for education, psychology, and the social sciences
• Chicago—a common style used in everyday publications like magazines, newspapers, and books
• MLA (Modern Language Association) for English, literature, arts, and humanities
• Turabian—another common style designed for its universal application across all subjects and disciplines

While all the formatting and citation styles have their own use and applications, in this chapter we focus our attention on the two styles you are most likely to use in your academic studies: APA and MLA.

If you find that the rules of proper source documentation are difficult to keep straight, you are not alone. Writing a good research paper is, in and of itself, a major intellectual challenge. Having to follow detailed citation and formatting guidelines as well may seem like just one more task to add to an already-too-long list of requirements.

Following these guidelines, however, serves several important purposes. First, it signals to your readers that your paper should be taken seriously as a student’s contribution to a given academic or professional field; it is the literary equivalent of wearing a tailored suit to a job interview. Second, it shows that you respect other people’s work enough to give them proper credit for it. Finally, it helps your reader find additional materials if he or she wishes to learn more about your topic.

Furthermore, producing a letter-perfect APA-style paper need not be burdensome. Yes, it requires careful attention to detail. However, you can simplify the process if you keep these broad guidelines in mind:

• Work ahead whenever you can. Chapter 11 “Writing from Research: What Will I Learn?” includes tips for keeping track of your sources early in the research process, which will save time later on.
• Get it right the first time. Apply APA guidelines as you write, so you will not have much to correct during the editing stage. Again, putting in a little extra time early on can save time later.
• Use the resources available to you. In addition to the guidelines provided in this chapter, you may wish to consult the APA website at http://www.apa.org or the Purdue University Online Writing lab at http://owl.english.purdue.edu , which regularly updates its online style guidelines.

General Formatting Guidelines

This chapter provides detailed guidelines for using the citation and formatting conventions developed by the American Psychological Association, or APA. Writers in disciplines as diverse as astrophysics, biology, psychology, and education follow APA style. The major components of a paper written in APA style are listed in the following box.

These are the major components of an APA-style paper:

Body, which includes the following:

• Headings and, if necessary, subheadings to organize the content
• In-text citations of research sources
• References page

All these components must be saved in one document, not as separate documents.

The title page of your paper includes the following information:

• Title of the paper
• Author’s name
• Name of the institution with which the author is affiliated
• Header at the top of the page with the paper title (in capital letters) and the page number (If the title is lengthy, you may use a shortened form of it in the header.)

List the first three elements in the order given in the previous list, centered about one third of the way down from the top of the page. Use the headers and footers tool of your word-processing program to add the header, with the title text at the left and the page number in the upper-right corner. Your title page should look like the following example.

The next page of your paper provides an abstract , or brief summary of your findings. An abstract does not need to be provided in every paper, but an abstract should be used in papers that include a hypothesis. A good abstract is concise—about one hundred fifty to two hundred fifty words—and is written in an objective, impersonal style. Your writing voice will not be as apparent here as in the body of your paper. When writing the abstract, take a just-the-facts approach, and summarize your research question and your findings in a few sentences.

In Chapter 12 “Writing a Research Paper” , you read a paper written by a student named Jorge, who researched the effectiveness of low-carbohydrate diets. Read Jorge’s abstract. Note how it sums up the major ideas in his paper without going into excessive detail.

Write an abstract summarizing your paper. Briefly introduce the topic, state your findings, and sum up what conclusions you can draw from your research. Use the word count feature of your word-processing program to make sure your abstract does not exceed one hundred fifty words.

Depending on your field of study, you may sometimes write research papers that present extensive primary research, such as your own experiment or survey. In your abstract, summarize your research question and your findings, and briefly indicate how your study relates to prior research in the field.

Margins, Pagination, and Headings

APA style requirements also address specific formatting concerns, such as margins, pagination, and heading styles, within the body of the paper. Review the following APA guidelines.

Use these general guidelines to format the paper:

• Set the top, bottom, and side margins of your paper at 1 inch.
• Use double-spaced text throughout your paper.
• Use a standard font, such as Times New Roman or Arial, in a legible size (10- to 12-point).
• Use continuous pagination throughout the paper, including the title page and the references section. Page numbers appear flush right within your header.
• Section headings and subsection headings within the body of your paper use different types of formatting depending on the level of information you are presenting. Additional details from Jorge’s paper are provided.

Begin formatting the final draft of your paper according to APA guidelines. You may work with an existing document or set up a new document if you choose. Include the following:

• Your title page
• The abstract you created in Note 13.8 “Exercise 1”
• Correct headers and page numbers for your title page and abstract

APA style uses section headings to organize information, making it easy for the reader to follow the writer’s train of thought and to know immediately what major topics are covered. Depending on the length and complexity of the paper, its major sections may also be divided into subsections, sub-subsections, and so on. These smaller sections, in turn, use different heading styles to indicate different levels of information. In essence, you are using headings to create a hierarchy of information.

The following heading styles used in APA formatting are listed in order of greatest to least importance:

• Section headings use centered, boldface type. Headings use title case, with important words in the heading capitalized.
• Subsection headings use left-aligned, boldface type. Headings use title case.
• The third level uses left-aligned, indented, boldface type. Headings use a capital letter only for the first word, and they end in a period.
• The fourth level follows the same style used for the previous level, but the headings are boldfaced and italicized.
• The fifth level follows the same style used for the previous level, but the headings are italicized and not boldfaced.

Visually, the hierarchy of information is organized as indicated in Table 13.1 “Section Headings” .

Table 13.1 Section Headings

A college research paper may not use all the heading levels shown in Table 13.1 “Section Headings” , but you are likely to encounter them in academic journal articles that use APA style. For a brief paper, you may find that level 1 headings suffice. Longer or more complex papers may need level 2 headings or other lower-level headings to organize information clearly. Use your outline to craft your major section headings and determine whether any subtopics are substantial enough to require additional levels of headings.

Working with the document you developed in Note 13.11 “Exercise 2” , begin setting up the heading structure of the final draft of your research paper according to APA guidelines. Include your title and at least two to three major section headings, and follow the formatting guidelines provided above. If your major sections should be broken into subsections, add those headings as well. Use your outline to help you.

Because Jorge used only level 1 headings, his Exercise 3 would look like the following:

Citation Guidelines

In-text citations.

Throughout the body of your paper, include a citation whenever you quote or paraphrase material from your research sources. As you learned in Chapter 11 “Writing from Research: What Will I Learn?” , the purpose of citations is twofold: to give credit to others for their ideas and to allow your reader to follow up and learn more about the topic if desired. Your in-text citations provide basic information about your source; each source you cite will have a longer entry in the references section that provides more detailed information.

In-text citations must provide the name of the author or authors and the year the source was published. (When a given source does not list an individual author, you may provide the source title or the name of the organization that published the material instead.) When directly quoting a source, it is also required that you include the page number where the quote appears in your citation.

This information may be included within the sentence or in a parenthetical reference at the end of the sentence, as in these examples.

Epstein (2010) points out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Here, the writer names the source author when introducing the quote and provides the publication date in parentheses after the author’s name. The page number appears in parentheses after the closing quotation marks and before the period that ends the sentence.

Addiction researchers caution that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (Epstein, 2010, p. 137).

Here, the writer provides a parenthetical citation at the end of the sentence that includes the author’s name, the year of publication, and the page number separated by commas. Again, the parenthetical citation is placed after the closing quotation marks and before the period at the end of the sentence.

As noted in the book Junk Food, Junk Science (Epstein, 2010, p. 137), “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive.”

Here, the writer chose to mention the source title in the sentence (an optional piece of information to include) and followed the title with a parenthetical citation. Note that the parenthetical citation is placed before the comma that signals the end of the introductory phrase.

David Epstein’s book Junk Food, Junk Science (2010) pointed out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Another variation is to introduce the author and the source title in your sentence and include the publication date and page number in parentheses within the sentence or at the end of the sentence. As long as you have included the essential information, you can choose the option that works best for that particular sentence and source.

Citing a book with a single author is usually a straightforward task. Of course, your research may require that you cite many other types of sources, such as books or articles with more than one author or sources with no individual author listed. You may also need to cite sources available in both print and online and nonprint sources, such as websites and personal interviews. Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.2 “Citing and Referencing Techniques” and Section 13.3 “Creating a References Section” provide extensive guidelines for citing a variety of source types.

Writing at Work

APA is just one of several different styles with its own guidelines for documentation, formatting, and language usage. Depending on your field of interest, you may be exposed to additional styles, such as the following:

• MLA style. Determined by the Modern Languages Association and used for papers in literature, languages, and other disciplines in the humanities.
• Chicago style. Outlined in the Chicago Manual of Style and sometimes used for papers in the humanities and the sciences; many professional organizations use this style for publications as well.
• Associated Press (AP) style. Used by professional journalists.

References List

The brief citations included in the body of your paper correspond to the more detailed citations provided at the end of the paper in the references section. In-text citations provide basic information—the author’s name, the publication date, and the page number if necessary—while the references section provides more extensive bibliographical information. Again, this information allows your reader to follow up on the sources you cited and do additional reading about the topic if desired.

The specific format of entries in the list of references varies slightly for different source types, but the entries generally include the following information:

• The name(s) of the author(s) or institution that wrote the source
• The year of publication and, where applicable, the exact date of publication
• The full title of the source
• For books, the city of publication
• For articles or essays, the name of the periodical or book in which the article or essay appears
• For magazine and journal articles, the volume number, issue number, and pages where the article appears
• For sources on the web, the URL where the source is located

The references page is double spaced and lists entries in alphabetical order by the author’s last name. If an entry continues for more than one line, the second line and each subsequent line are indented five spaces. Review the following example. ( Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.3 “Creating a References Section” provides extensive guidelines for formatting reference entries for different types of sources.)

In APA style, book and article titles are formatted in sentence case, not title case. Sentence case means that only the first word is capitalized, along with any proper nouns.

Key Takeaways

• Following proper citation and formatting guidelines helps writers ensure that their work will be taken seriously, give proper credit to other authors for their work, and provide valuable information to readers.
• Working ahead and taking care to cite sources correctly the first time are ways writers can save time during the editing stage of writing a research paper.
• APA papers usually include an abstract that concisely summarizes the paper.
• APA papers use a specific headings structure to provide a clear hierarchy of information.
• In APA papers, in-text citations usually include the name(s) of the author(s) and the year of publication.
• In-text citations correspond to entries in the references section, which provide detailed bibliographical information about a source.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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noun as in examination, study

Strongest matches

analysis , exploration , inquiry , investigation , probe

Strong matches

delving , experimentation , groundwork , inquest , inquisition , probing , quest , scrutiny

Weak matches

fact-finding , fishing expedition , legwork , R and D

verb as in examine, study

analyze , consult , explore , investigate , probe , scrutinize

experiment , inquire

do tests , look into , look up , play around with , read up on

Discover More

Example sentences.

The duo spent the first year in research and engaging with farmers.

Dan Finn-Foley, head of energy storage at energy research firm Wood Mackenzie Power & Renewables, compared Google’s plan to ordering eggs for breakfast.

Users will give Deep Longevity the right to conduct anonymized research using their data as part of the app’s terms and conditions, Zhavoronkov said.

There’s also the Wilhelm Reich Museum, located at “Orgonon” in Rangeley, Maine, which was previously Reich’s estate—where he conducted questionable orgone research in the later years of his career.

When we started doing research on these topics, we were too focused on political institutions.

Have you tried to access the research that your tax dollars finance, almost all of which is kept behind a paywall?

Have a look at this telling research from Pew on blasphemy and apostasy laws around the world.

And Epstein continues to steer money toward universities to advance scientific research.

The research literature, too, asks these questions, and not without reason.

We also have a growing body of biological research showing that fathers, like mothers, are hard-wired to care for children.

We find by research that smoking was the most general mode of using tobacco in England when first introduced.

This class is composed frequently of persons of considerable learning, research and intelligence.

Speaking from recollection, it appears to be a work of some research; but I cannot say how far it is to be relied on.

Thomas Pope Blount died; an eminent English writer and a man of great learning and research.

That was long before invention became a research department full of engineers.

Related Words

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

noun as in inspection, examination

• investigation

verb as in put in a specific context

• investigate

verb as in dig into task, action

• leave no stone unturned
• really get into
• turn inside out

verb as in investigate; discover

• bring to light
• come across
• come up with
• search high and low
• turn upside down

Viewing 5 / 43 related words

On this page you'll find 76 synonyms, antonyms, and words related to research, such as: analysis, exploration, inquiry, investigation, probe, and delving.

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

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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.

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Difference between Thesis and Research Paper

A thesis is a comprehensive academic document that presents original research and contributes new knowledge to the field, whereas a research paper explores and discusses a topic based on existing literature. Both forms of academic writing serve different purposes and audiences, requiring distinct approaches in terms of depth of analysis, format, and completion timeline.

What is a Thesis?

A thesis is a comprehensive document written by a student pursuing a higher academic degree, such as a Master’s or Ph.D. It is the culmination of original research conducted by the student under the guidance of a supervisor or advisor. The primary purpose of a thesis is to present a scholarly argument or hypothesis on a specific topic or research question. It involves conducting in-depth research, analyzing data, and synthesizing findings to contribute new knowledge to the field of study. A thesis typically consists of several chapters, including an introduction, literature review, methodology, results, discussion, and conclusion.

Key Features of a Thesis:

• Original Research: A thesis involves original research conducted by the student, contributing new knowledge or insights to the academic field.
• Comprehensive Analysis: This typically includes a comprehensive analysis of existing literature, methodologies, data, and findings related to the research topic.
• Formal Defense: A thesis is defended orally before a committee of faculty members or experts, who evaluate the student’s research methods, findings, and conclusions.

What is a Research Paper?

A research paper is a shorter, more focused document that presents the findings of a specific research study or investigation. It is commonly written by students at the undergraduate or graduate level as part of a course assignment or academic project. The primary purpose of a research paper is to communicate the results of research, analysis, or experimentation on a particular topic or research question. It aims to contribute to the existing body of knowledge in a given field or area of study. A research paper typically follows a standardized format, including sections such as an introduction, literature review, methodology, results, discussion, and conclusion.

Key Features of a Research Paper:

• Focused Study: A research paper focuses on presenting the findings of a specific research study or investigation, often within a narrower scope than a thesis.
• Standardized Format: It follows a standardized format, including sections such as introduction, literature review, methodology, results, discussion, and conclusion.
• Evaluation Criteria: Research papers are evaluated based on factors such as the clarity of writing, the rigor of research methods, the relevance of findings, and the contribution to the field, often as part of a course assignment or academic project.

Thesis and Research Paper – FAQs

Is a thesis longer than a research paper.

Yes, typically a thesis is more extensive and detailed compared to a research paper due to its original research component and comprehensive structure.

Do research papers require original research?

Research papers primarily rely on existing literature and sources, providing critical analysis or interpretation without necessarily presenting new findings.

Can a research paper be published in academic journals?

Yes, research papers can be submitted for publication in academic journals, providing they meet the journal’s criteria for quality and relevance.

What is the role of a thesis advisor or committee?

Thesis advisors and committee members provide guidance, feedback, and evaluation throughout the thesis process, ensuring academic rigor and quality.

Can a thesis be revised after completion?

Yes, a thesis may undergo revisions based on feedback from advisors or committee members before final submission and defense.

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Published on 30.4.2024 in Vol 26 (2024)

The Effect of Everyday-Life Social Contact on Pain

Authors of this article:

• Martin Weiß 1 * , PhD   ; 
• Marthe Gründahl 1 * , PhD   ; 
• Annalena Jachnik 1   ; 
• Emilia Caya Lampe 1   ; 
• Ishitaa Malik 1   ; 
• Heike Lydia Rittner 2 , MD   ; 
• Claudia Sommer 3 , MD   ; 
• Grit Hein 1 , PhD  

1 University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Translational Social Neuroscience Unit, Würzburg, Germany

2 University Hospital Würzburg, Center for Interdisciplinary Medicine, Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, Würzburg, Germany

3 University Hospital Würzburg, Department of Neurology, Würzburg, Germany

*these authors contributed equally

Corresponding Author:

Martin Weiß, PhD

University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Translational Social Neuroscience Unit

Margarete-Höppel-Platz 1

Würzburg, 97080

Phone: 49 931 201 77412

Email: [email protected]

Pain is a biopsychosocial phenomenon, resulting from the interplay between physiological and psychological processes and social factors. Given that humans constantly interact with others, the effect of social factors is particularly relevant. Documenting the significance of the social modulation of pain, an increasing number of studies have investigated the effect of social contact on subjective pain intensity and pain-related physiological changes. While evidence suggests that social contact can alleviate pain, contradictory findings indicate an increase in pain intensity and a deterioration of pain coping strategies. This evidence primarily stems from studies examining the effect of social contact on pain within highly controlled laboratory conditions. Moreover, pain assessments often rely on one-time subjective reports of average pain intensity across a predefined period. Ecological momentary assessments (EMAs) can circumvent these problems, as they can capture diverse aspects of behavior and experiences multiple times a day, in real time, with high resolution, and within naturalistic and ecologically valid settings. These multiple measures allow for the examination of fluctuations of pain symptoms throughout the day in relation to affective, cognitive, behavioral, and social factors. In this opinion paper, we review the current state and future relevance of EMA-based social pain research in daily life. Specifically, we examine whether everyday-life social support reduces or enhances pain. The first part of the paper provides a comprehensive overview of the use of EMA in pain research and summarizes the main findings. The review of the relatively limited number of existing EMA studies shows that the association between pain and social contact in everyday life depends on numerous factors, including pain syndromes, temporal dynamics, the nature of social interactions, and characteristics of the interaction partners. In line with laboratory research, there is evidence that everyday-life social contact can alleviate, but also intensify pain, depending on the type of social support. Everyday-life emotional support seems to reduce pain, while extensive solicitous support was found to have opposite effects. Moreover, positive short-term effects of social support can be overshadowed by other symptoms such as fatigue. Overall, gathering and integrating experiences from a patient’s social environment can offer valuable insights. These insights can help interpret dynamics in pain intensity and accompanying symptoms such as depression or fatigue. We conclude that factors determining the reducing versus enhancing effects of social contact on pain need to be investigated more thoroughly. We advocate EMA as the assessment method of the future and highlight open questions that should be addressed in future EMA studies on pain and the potential of ecological momentary interventions for pain treatment.

Pain is associated with impaired physical and mental health and reduced quality of life [ 1 , 2 ]. The International Association for the Study of Pain defines pain as “an unpleasant sensory and emotional experience associated with actual or potential tissue damage”. Moreover, many pain disorders happen in the absence of tissue damage or any obvious pathophysiological cause [ 3 ]. Acute pain is an injury signal and usually recedes when the cause has resolved. Chronic pain is defined as lasting for a minimum of 12 weeks or longer than the expected healing time of an injury. The global prevalence of chronic pain is estimated between 20% and 30% of the population [ 4 - 6 ]. Thus, for many among us, pain is a frequent experience in daily life [ 2 ].

The prevalence and consequences of pain call for adequate scientific and clinical measurements and interventions. Yet, there is still a noticeable lack of efficient pain treatments. Among others, this has been traced back to insufficient pain monitoring [ 6 , 7 ] and heterogeneity regarding core outcome measures [ 8 , 9 ]. Pain assessments indicate the severity or quality of pain, enable a diagnosis, and provide indications for medical or therapeutic treatments and their effectiveness [ 9 , 10 ]. The most common pain measure is subjective reports of average pain intensity levels across a predefined period, for example, assessed via visual analog or numerical rating scales [ 10 - 12 ]. However, average and single-time pain measures overlook that (chronic) pain is dynamic rather than static and is characterized by inter- and intraindividual fluctuations in pain intensity, maximum pain levels, and related impairments, which are in turn associated with changes in cognition, affect, behavior, and motivation [ 2 , 10 , 13 ]. Intraindividual temporal pain variations can be important indicators of pain manageability and overall impairment, and their assessment can thus enhance the understanding and treatment of the pathophysiological, behavioral, and emotional processes related to pain [ 14 , 15 ]. Repeated, fine-grained, temporally precise, and longitudinal pain assessments in a real-life context are needed to adequately and representatively capture the structural and dynamic process of pain [ 10 , 13 ].

Social Contact and Pain

Pain is multifaceted, and pain-related illnesses have heterogeneous symptoms, recoveries, and risks that can strongly differ between individuals [ 15 ]. While some patients’ daily lives are highly disrupted and impaired, others struggle less in coping with pain. Factors that contribute to these differences are yet poorly understood [ 15 , 16 ]. Researchers are therefore calling for the inclusion of facets other than pain intensity and variability into pain-related research [ 17 ]. Notably, pain is often described as a biopsychosocial phenomenon, referring to the interplay between physiological pain-related processes and psychological and social factors [ 18 ]. Previous pain studies have shown that pain can impair our social relationships and social functioning [ 13 ], for example, by reducing our participation in social life [ 19 , 20 ]. This may in turn increase pain intensity and related symptoms and impairments (eg, negative cognitive processes and impaired quality of life) [ 2 , 18 ]. However, “positive” psychosocial experiences can also decrease pain, for example, social interactions providing social support [ 1 , 21 ]. Social contact has thus been related to either reductions or increases in pain experiences, depending on factors such as the provision of adequate versus extensive social support [ 22 , 23 ], supportive versus unsupportive behavior by others [ 24 , 25 ], or characteristics of the social partners (eg, outgroup vs ingroup membership; sex: female vs male) [ 26 , 27 ]. Protective effects of social contact on pain-related responses are evident in reducing influences on the physiological stress system (“social buffering”) [ 28 , 29 ], but also on cognitive and emotional facets such as negative thoughts and negative affect. Consequently, social contact can lead to improved pain reappraisal, less pain-related thoughts, and lower perceived pain intensity [ 1 ] and could therefore be an important chess piece in both the development and treatment of pain. Yet, only a few studies have examined how social contact affects the development, resolution, or persistence of pain in a daily life context.

In this paper, we review the status quo of social pain research in daily life and advocate ecological momentary assessments (EMAs) as the assessment method of the future. In particular, we focus on the question of whether everyday-life social support reduces or enhances pain, as laboratory studies provide evidence for both effects. The first part of the paper provides a general overview of the use of EMAs in pain research. Next, we summarize the results of these studies on everyday-life social contact on pain and discuss the ambiguous relationship between social support and pain in more detail. Finally, we highlight open questions and point out future directions.

The literature research for this opinion paper was conducted in June and July 2023 in the databases Google Scholar and PubMed. Searches included the topic “pain” and terms representing EMA, that is, “ecological momentary assessment” OR “ambulatory assessment” OR “experience sampling” OR “diary assessment” OR “intensive longitudinal method” OR “intensive longitudinal study” OR “real-time” OR “daily life” OR “everyday life.” The search results were limited to papers that were written in English. The database searches were complemented with manual reviews of the reference lists of relevant papers.

Use of EMAs

EMA (also known as experience sampling or ambulatory assessment) has become increasingly popular in psychological and clinical research over the last decades. In parallel, daily diaries are used as part of clinical diagnostics, as they can provide relevant information (eg, pain intensity ratings) in patients’ everyday life. The compliance with daily diaries is comparable to EMAs (approximately 85%) [ 30 , 31 ]. Daily diaries are occasionally categorized among EMA methods [ 32 ]. However, they are usually completed only once or twice per day at fixed time points. In contrast, (more advanced) EMA has the capacity to capture various aspects of human behavior and experiences multiple times a day, in real time, in high resolution, and in naturalistic and ecologically valid settings [ 33 - 35 ]. These multiple measures of daily-life experiences can be put into relation to fluctuations of symptoms (eg, pain) throughout the day, depending on affective, cognitive, behavioral, and—last but not least—social factors [ 12 , 36 , 37 ]. As ecological momentary interventions (EMIs), EMA methods can even be used for interventional purposes [ 12 , 38 ] and provide treatment once pain levels increase (eg, provision of social support) [ 39 ].

EMA offers important advantages to (social) pain research. It reduces the problem of recall bias and thus “purifies” pain measurements, as it captures current experiences rather than retrospective memories [ 10 , 40 ]. Compared with single-time assessments, EMA is less prone to social desirability, cognitive biases, and measurement error [ 41 ]. It provides flexibility regarding the selection of representative sampling schedules and intensities, which can be tailored to the study objectives and the demands and capability of specific (pain) samples [ 17 ]. In accordance with this, compliance with EMA in patients with different pain conditions was high in previous research [ 12 , 42 , 43 ]. A key advantage for pain research in particular is EMA’s ability to observe and summarize within-person effects and temporal dynamics, including time-lagged relationships, through repeated, longitudinal measurements [ 17 , 34 ]. As summarized by Stone et al [ 17 ], EMA can quantify, predict, and potentially influence the ebb and flow of pain, for example, after surgery [ 44 ]. What is more, its real-world setting (eg, everyday-life social contact) maximizes the ecological validity of pain-related experiences [ 17 ]. Thus, EMA can measure daily-life pain several times a day [ 13 , 45 ], for weeks [ 9 ], or even months [ 46 ] and capture its relation to daily-life experiences such as social contact [ 22 ], work-related stress [ 47 ], physical activity [ 48 ], and countless other potential influences on pain [ 17 ].

EMA can further detect differences between pain conditions, for example, higher variability in fatigue levels in women experiencing fibromyalgia compared with women with rheumatoid arthritis and osteoarthritis [ 49 ]. The variability in pain symptomology, related impairments, and treatment response among patients with pain calls for personalized treatments, and continuous, ecological, and momentary pain assessments can advance the design and validation of such interventions [ 6 , 50 ]. EMA could advance the development and monitoring of preventive interventions [ 51 ] by observing pain levels of those at risk (eg, patients with acute pain) over time, but also in relation to potential influences in daily life. In the wake of a shift away from on-demand medication and a strong focus on pain in pain treatment, EMA could contribute to tailoring basic analgesia to individual patient needs and patterns [ 52 - 54 ].

Despite these advantages, EMA application in pain research is still relatively rare and, regarding its methodological choices, heterogeneous, unclear, and often outdated [ 12 , 17 ]. By 2020, at least 116 studies had applied EMA for the measurement of pain [ 12 , 17 ]. May et al [ 12 ] reviewed 62 research projects that were reported in 105 papers. Only 9 projects (14.5%) used smartphones for data collection, while the majority (39/62, 63%) used other electronic methods, except for phone calls (3/62, 4.8%) and paper booklets (11/62, 17.7%). Stone et al [ 17 ] updated this review, focusing on EMA papers published in PAIN and the Journal of Pain between 2016 and 2020. In addition to those reported in May et al [ 12 ], they found 11 papers covering 9 projects, including 2 (22%) projects using smartphone applications and 6 (67%) projects using other full electronic data assessment tools (eg, personal digital assistants such as palmtop computers). Notably, several pain EMA studies used obsolete instead of modern EMA measurement tools such as smartphone-based surveys (eg, telephone calls, pen and paper, or handheld computers) [ 25 , 55 ]. This is a pity, as there is a high acceptance and feasibility of smartphone-based assessments [ 56 - 58 ]. Smartphones are an easy-to-use and broadly available measurement tool with diverse and accurate digital data collection possibilities that almost everyone in our modern world is familiar with [ 14 , 59 ]. Today’s technological innovations even enable clinicians to receive in-time feedback on their patients’ current (pain) experiences, which could be used for timely interventions. This approach can be integrated into EMIs to deliver individualized, momentary treatments in dependence on current pain-related experiences (eg, predictors of higher pain levels), even without the active participation of a clinician [ 17 ]. The prospects and findings outlined above raise the questions of why (social) pain research and practice have not yet shifted to a broader application of (modern) EMA.

Pain and Social Contact in Daily Life

Within and beyond pain research, EMA seems particularly relevant when investigating the effects of an integral part of our daily lives: social contact [ 1 , 60 ]. Notably, social contacts are diverse as they differ in factors like length, content, aim, and tone, but also regarding the number, characteristics, and relationships of social partners [ 61 - 63 ]. Only intensive and ecologically valid measurement tools can adequately capture this diversity. Although the influence of social contact on pain has been acknowledged in the literature [ 1 , 21 ], very few studies have investigated this interplay in daily life settings [ 22 , 64 , 65 ].

The existing EMA studies on pain and social contact provide promising first insights (see Table 1 for an overview). For example, pain-related social impairment in daily life was evident in a study with 102 adults with multiple sclerosis using wrist-worn monitors. The monitors were worn on the nondominant hand, except during activities such as showering, bathing, or swimming. Participants were asked to rate acute pain, fatigue, depressive mood, and cognitive function on a scale of 0 to 10, 5 times a day using a wrist-worn device [ 50 ]. In addition, participants were asked to provide a more detailed report on their social participation with a web-based survey once per day in the evening. However, to uncover relevant features of social contact, researchers usually present several questions to retrieve more comprehensive impressions of the features of the contact (eg, quantity of interaction partners, number of strangers, familiarity and gender of the interaction partner, or perceived personality traits) [ 31 , 60 , 66 ]. Thus, wrist-worn devices might not be as suited as smartphones when it comes to extensive social contact research in daily life as presenting multiple-choice EMA questions is more burdensome compared with smartphones [ 67 ]. In the study described above, higher pain was related to lower same-day social participation [ 50 ]. Other EMA results imply ambiguous effects of social contact on pain. In a small-sampled study with older adults with HIV (n=20) and smartphone surveys (5/day for 1 week), social activity was related to higher levels of fatigue and pain during the day, but also to higher levels of happiness. Looking at temporal relations, higher pain was related to previously being alone, but also to a higher likelihood of not being alone later during the day [ 65 ].

a Pain syndrome: pain-related disease of study participants.

In a larger sample of older adults with HIV (n=66) and smartphone surveys (4/day for 2 weeks), Herbert et al [ 64 ] sought to replicate the results reported by Paolillo et al [ 65 ], showing an association between recent social contact and lower current pain. In contrast, Herbert et al [ 64 ] found that higher current pain was temporally associated with less subsequent social contact. Interestingly, recent social contact buffered the relation between negative affect and current pain, as only those with low contact frequency exhibited an increase in pain with higher negative affect.

A study with 268 adults with osteoarthritis of the knee investigated the impact of social interactions and pain on daily affect via telephone calls (4/day for 1 week). On a general level, more social interactions reduced the association between pain and negative affect. On a within-day level, more social interactions were related to more positive affect. These results are limited by the minimalistic assessment of daily social interactions: the occurrence of social interactions was coded based on a general question regarding the participant’s activity prior to receiving the phone call, and no additional social aspects were assessed [ 68 ]. However, similar to other health-related contexts (eg, anxiety-related responses) [ 60 ], daily-life pain might change in dependence on the personal characteristics of social partners, such as their gender or familiarity. For instance, there are indications from the laboratory that social support by strangers is less efficient in reducing pain than social support provided by more familiar social partners [ 21 , 69 ]. Similarly, female social partners tend to provide more care and may thus have more pain-reducing effects [ 70 ]—or, if providing too much care, pain-enhancing effects (see below). Such influences have rarely been explored in pain research but could be highly relevant for daily-life pain.

Importantly, EMA can expand the researcher’s gaze to the experiences and behaviors of others that are part of an individual’s social environment. Interview-based research has shown that chronic pain also impacts a patient’s relatives and partners, who for example report changes in leisure activities, sleep disturbances (n=12) [ 71 ], feelings of powerlessness, alienation, and emotional distress (n=9) [ 72 ]. This can in turn impair the relationships between patients and their social networks [ 72 ], thus increasing pain symptoms [ 73 ]. It is therefore important to understand when and how pain affects the social environment and vice versa. For instance, interviews with 27 patients with chronic low back pain and their partners indicated that partners’ pain responses can be interpreted differently by patients and partners, resulting in misinterpretations. Thus, the interpretation of pain responses may determine whether the behavior in question increases or decreases the patient’s pain experiences [ 74 ]. Based on these findings, experiences from the family’s perspective provide additional insight into factors affecting the development, maintenance, or resolution of pain while also providing indications for intervention. A more fine-grained EMA assessment in daily life, ideally with parallel assessments in patients and their social environments as well as with bigger sample sizes, would be particularly valuable here.

Pain and Social Support: An Ambiguous Relationship

One social factor particularly associated with changes in pain intensity is social support [ 75 , 76 ]. Social support can be characterized as the experience of feeling supported, cared for, and connected to others, contributing to a sense of belonging [ 77 ]. Researchers distinguish between perceived and actual (or received) social support [ 78 ]. While perceived social support is an individual’s subjective evaluation of the emotional and psychological support they believe is available from family and friends in times of need, received social support quantifies the actual support received. Importantly, both types of social support are only moderately correlated [ 79 , 80 ], as the amount of support someone receives does not always align with how much they feel they are supported (for meta-analysis, see [ 79 ]). In general, social support is associated with positive emotional states and more effective pain adaptation, which can predict lower pain and improved psychological functioning [ 81 ]. It can serve as a coping mechanism, enhance the ability to cope with pain, and facilitate pain management [ 1 , 24 ]. Insufficient and absent social support and social integration have been related to increases in pain [ 73 , 82 ] and even emerged as antecedents or magnifiers of chronic pain [ 83 , 84 ]. Contrasting these pain-buffering effects of social contact, some findings imply the pain-enhancing effects of social contact and support. For instance, a social partner’s extensive pain-related concerns in relation to painful stimulation [ 85 ] or chronic pain experiences [ 86 , 87 ] can lead to increased pain-related experiences. Solicitous responses (eg, the encouragement to be less active) and negative responses (eg, the expression of frustration or anger about pain) by significant others were previously related to higher pain and disability in patients with chronic pain [ 86 , 88 , 89 ].

In line with these negative outcomes, operant and cognitive-behavioral models of pain [ 90 , 91 ] assume that people experiencing pain communicate their pain to close others through pain behaviors and that others’ (particularly romantic partners’) emotional or solicitous responses reinforce these behaviors, while negative responses punish and thus reduce future pain responses [ 92 ]. Consequently, the models suggest that social support may compromise self-sufficiency, reinforce maladaptive pain behaviors, foster dependency, and interfere with a patient’s ability to cope with pain [ 24 , 93 ]. In contrast, interpersonal process models [ 94 ] assume that empathic and validating pain-related responses by spouses lead to positive outcomes by enhancing intimacy and emotion regulation, while negative responses lead to negative pain-related outcomes [ 25 , 92 ]. In relation to these models and partial evidence for each of them, Mogil [ 23 ] has suggested a U-shaped relationship between social support and pain experience: in general, the perception of social support versus no support decreases pain [ 1 ], but extensive solicitous concern may enhance pain intensity and related factors such as functional disability and pain catastrophizing [ 95 , 96 ] and foster pain expression in patients with pain [ 87 , 93 ].

EMA has provided the first steps to respond to these relevant yet contrasting assumptions with closer-to-life data. In 109 men living with HIV, smartphone-based EMA across 1 week (3 assessments per day) showed that social support related to lower subsequent pain intensity on a within-person level. Results further suggest that this relation may be moderated by between-person factors such as attachment-related avoidance, which was associated with higher pain reduction through social support [ 22 ]. In a study of older adults experiencing arthritis, the researchers distinguished between the effects of emotional, solicitous, and negative support. The pain was lower after having received emotional support from one’s spouse. However, solicitous support (eg, expression of pain-related concern and comfort) and avoidance behavior by one’s spouse were associated with higher pain levels [ 25 ]. While highly interesting, this EMA study investigated a very specific sample and used outdated methods (telephone interviews 2 times a day) instead of more feasible and fine-grained smartphone surveys. Similarly, operant models have been particularly investigated in chronic pain couples [ 25 , 86 , 87 ]. Previous findings should be validated and extended by research with modern methods, diverse pain samples, and other social network members (eg, friends and children).

Note that some research could not find a relationship between social support and pain [ 97 , 98 ]. For example, an EMA study investigating factors contributing to the chronification of pain after potentially traumatic injuries used text message–based questionnaires for 2 weeks in 67 adults. They did not find a relationship between social support and pain on a daily level. However, the study only included 1 assessment per day, and a more fine-grained (and modern) assessment may have provided more insight, as also stated by the authors [ 98 ].

In sum, both the effects of social contact on pain, as well as pain-related social impairment, seem to differ within and between days and individuals depending on numerous factors such as pain syndromes, temporal relations, the nature of social interactions, or the social partners and their experiences. A lack of social contact may enhance pain, but it remains unclear under which conditions pain reduces [ 50 ] or fosters [ 65 ] social participation. In some, but not all, pain syndromes, short-term symptom-reducing effects of social contact (eg, on fatigue) may become overshadowed by next-day increases in fatigue [ 99 ]. Obtaining and integrating experiences from a patient’s social environment can provide additional information, for example, regarding the misinterpretation of pain behaviors [ 74 ]. Finally, factors determining enhancing versus reducing effects of emotional and solicitous social support need to be investigated more thoroughly [ 22 , 25 ].

Future Directions

There are still some challenges in the EMA application that remain unsolved, as recently pointed out by Stone et al [ 35 ]. Despite reports of high feasibility [ 14 , 57 , 58 ], acceptance [ 11 ], and compliance [ 12 , 42 ], EMA can be burdensome to patients with pain [ 43 ]). We should therefore strive to make EMA as convenient and appealing as possible, for example, by low weight and size of the assessment tools, easy-to-use interfaces, appealing designs, gamification, or motivational incentives [ 11 , 41 , 100 ]. There are also issues to be considered from the researchers’ and practitioners’ side. For instance, EMA protocols require thorough planning and execution, and complex EMA data sets require adequate statistical analyses [ 33 , 101 ]. Other issues include the accessibility of EMA tools, which are currently often limited by factors such as smartphone operating systems (there is a lack of EMA tools running on iOS), and the provision of data protection, particularly when using private smartphones as assessment tools [ 102 ]. Moreover, there is a potential selection bias of EMA respondents or the question of whether the interpretation of EMA survey questions is congruent between and within participants (and in accordance with the researcher’s intentions) [ 35 ]. Solving and standardizing these issues could further advance the field of EMA research [ 35 ].

Furthermore, one could inquire whether EMA and its items influence individuals’ behavior in social interactions or introduce biases in the perception of their interaction partners. To address this intriguing question, studies would need to assess whether the quality and quantity of social interactions change during the EMA assessment period, that is, with increasing numbers of prompts. This would be an interesting issue for future research. Another relevant aspect of EMA that might be affected by the context of social contact is the participants’ compliance [ 103 ]. Among the 69 projects involving patients with chronic pain from the review by May et al [ 12 ], 39 provided data on completion rates. These projects exhibited an average completion rate of 86%, with individual project rates ranging from approximately 29% to 99%. EMA research examining social interactions with large and healthy samples (≥115 participants) also showed high completion rates of at least 85% [ 30 , 31 ]. Notably, participants in these studies received monetary compensation supplemented by additional bonuses for responding to each prompt or for exceeding a specific number of answered prompts, which may have enhanced compliance. In line with this, a review of pain studies with electronic diaries [ 42 ] observed that financial incentives as well as shorter diaries contribute to higher compliance rates (83%). Future research using smartphone-based EMA to study social interactions in patients with pain should thus consider the use of shorter surveys as well as financial incentives per prompt or prompt threshold, contingent upon the availability of funding and ethical approval for compensating patients, to maintain and enhance compliance.

Overall, more homogenous EMA pain study protocols and measurements would strengthen future EMA pain research. As pointed out in a review, previous EMA studies frequently lack detailed reports of factors such as study design decisions and completion rates. They use heterogeneous pain scales, for example, regarding scale labels and points [ 12 ]. This decreases the comparability and generalizability of EMA-based results. Future research should aim for a homogenous pain scale to enhance comparability between studies. Numeric rating scales (most commonly anchored from 0 to 10, eg, with 0=“no pain” and 10=“pain as bad as you can imagine” or “worst pain imaginable”) [ 15 , 104 ] are popular, fine-grained, and insightful [ 10 , 12 ] and could serve as a common tool. Based on the experience of our and others’ previous research on social interactions, we recommend the consideration of several contextual factors in order to obtain clean and interpretable EMA data [ 31 , 38 , 60 , 105 ]: Was the interaction face-to-face or not? How many persons were involved in the interaction? Are questions about an interaction partner’s characteristics targeting a single person or the group? How long is or was the interaction? Is it currently ongoing or, if not, how long ago did it end? Up to what time interval between social contact and its assessment should the data be analyzed to avoid recall bias? Are attention checks needed to ensure clean data, particularly in long-term surveys? and Should an alternative, equally long questionnaire be presented in the absence of social contact to prevent participants from avoiding the survey to save time?

It is also noteworthy that a vast majority of previous social and pain-related EMA studies have missed the opportunities of combining subjective momentary pain reports with ambulatory physiological assessments of autonomic measures (eg, heart rate measured with electrocardiogram sensors) and physical activity (eg, through accelerometer sensors). Ambulatory sensors may provide additional information on pain intensity, change, and interference in daily life. There are numerous technologically advanced measurement tools for assessing physiological measures associated with pain experiences and related factors, including wearable electrocardiogram sensors and smartwatches with biosensors. Such ambulatory measurements are objective, unbiased, and can collect data continuously and at a high resolution [ 33 , 41 ]. Previous research has already used ambulatory sensors to investigate social interaction and support in daily life [ 60 , 106 ]. The acceptance and feasibility of mobile measurement devices such as smartwatches are high among the general population [ 41 , 107 ], and the technology is quickly evolving to provide even more opportunities. Next to simply assessing physiological correlates of subjective pain experiences, wearable devices could also be implemented to detect physiological changes and impairments associated with a specific pain syndrome and consequently trigger prompt interventional steps for patients with pain. For instance, in a similar approach as reported by Kim et al [ 108 ] on depression, physical activity patterns tracked with ambulatory sensors could be used to objectively estimate momentary pain levels. Combining smartphone-based pain surveys and portable sensors to measure physiological responses (eg, heart rate, heart rate variability, or other indicators of stress) could provide a more profound understanding of the contextual and proximal causes and consequences of pain and thus advance pain treatment [ 2 , 41 ].

This opinion paper requests a drastic expansion of EMA-based pain research, particularly in the context of social contact. The first steps have been made, yet much more remains to be explored regarding the social-pain phenomenon. EMA should not be the sole source of pain-related data, however. Rather, researchers and clinicians should complement clinical assessments (eg, average pain assessments, pain questionnaires) and treatments with EMA as well as other methodological approaches [ 10 , 11 ], such as brain imaging [ 109 ], physiological sensors to capture objective measures such as blood pressure or physical activity [ 33 , 41 ], or data from biosamples such as genetics, transcriptomics, and proteomics [ 110 , 111 ]. Moreover, EMI provides great potential for pain research and practice. Future directions may include the personalization of smartphone-based treatments with more extensive and more convenient assessment and treatment tools [ 11 ], for example, with respect to the interindividual differences in factors such as pain variability and function [ 11 ] or the potential influence of daily-life surroundings such as social contacts [ 25 , 64 ]. Such just-in-time adaptive interventions [ 112 ] could help patients with pain identify associations between their current pain level and their momentary activity [ 113 ].

Acknowledgments

GH was supported by the German Research Foundation (HE 4566/5-1). MG, AJ, HLR, CS, and GH are members of the Klinische Forschungsgruppe (Clinical Research Unit) 5001 ResolvePAIN, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation; Project ID 426503586).

Conflicts of Interest

None declared.

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Abbreviations

Edited by A Mavragani; submitted 20.10.23; peer-reviewed by DM Niddam, K Yoshiuchi; comments to author 19.01.24; revised version received 01.02.24; accepted 13.03.24; published 30.04.24.

©Martin Weiß, Marthe Gründahl, Annalena Jachnik, Emilia Caya Lampe, Ishitaa Malik, Heike Lydia Rittner, Claudia Sommer, Grit Hein. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 30.04.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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FTC Announces Rule Banning Noncompetes

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Today, the Federal Trade Commission issued a final rule to promote competition by banning noncompetes nationwide, protecting the fundamental freedom of workers to change jobs, increasing innovation, and fostering new business formation.

“Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8,500 new startups that would be created a year once noncompetes are banned,” said FTC Chair Lina M. Khan. “The FTC’s final rule to ban noncompetes will ensure Americans have the freedom to pursue a new job, start a new business, or bring a new idea to market.”

The FTC estimates that the final rule banning noncompetes will lead to new business formation growing by 2.7% per year, resulting in more than 8,500 additional new businesses created each year. The final rule is expected to result in higher earnings for workers, with estimated earnings increasing for the average worker by an additional $524 per year, and it is expected to lower health care costs by up to $194 billion over the next decade. In addition, the final rule is expected to help drive innovation, leading to an estimated average increase of 17,000 to 29,000 more patents each year for the next 10 years under the final rule.

Noncompetes are a widespread and often exploitative practice imposing contractual conditions that prevent workers from taking a new job or starting a new business. Noncompetes often force workers to either stay in a job they want to leave or bear other significant harms and costs, such as being forced to switch to a lower-paying field, being forced to relocate, being forced to leave the workforce altogether, or being forced to defend against expensive litigation. An estimated 30 million workers—nearly one in five Americans—are subject to a noncompete.

Under the FTC’s new rule, existing noncompetes for the vast majority of workers will no longer be enforceable after the rule’s effective date. Existing noncompetes for senior executives - who represent less than 0.75% of workers - can remain in force under the FTC’s final rule, but employers are banned from entering into or attempting to enforce any new noncompetes, even if they involve senior executives. Employers will be required to provide notice to workers other than senior executives who are bound by an existing noncompete that they will not be enforcing any noncompetes against them.

In January 2023, the FTC issued a  proposed rule which was subject to a 90-day public comment period. The FTC received more than 26,000 comments on the proposed rule, with over 25,000 comments in support of the FTC’s proposed ban on noncompetes. The comments informed the FTC’s final rulemaking process, with the FTC carefully reviewing each comment and making changes to the proposed rule in response to the public’s feedback.

In the final rule, the Commission has determined that it is an unfair method of competition, and therefore a violation of Section 5 of the FTC Act, for employers to enter into noncompetes with workers and to enforce certain noncompetes.

The Commission found that noncompetes tend to negatively affect competitive conditions in labor markets by inhibiting efficient matching between workers and employers. The Commission also found that noncompetes tend to negatively affect competitive conditions in product and service markets, inhibiting new business formation and innovation. There is also evidence that noncompetes lead to increased market concentration and higher prices for consumers.

Alternatives to Noncompetes

The Commission found that employers have several alternatives to noncompetes that still enable firms to protect their investments without having to enforce a noncompete.

Trade secret laws and non-disclosure agreements (NDAs) both provide employers with well-established means to protect proprietary and other sensitive information. Researchers estimate that over 95% of workers with a noncompete already have an NDA.

The Commission also finds that instead of using noncompetes to lock in workers, employers that wish to retain employees can compete on the merits for the worker’s labor services by improving wages and working conditions.

Changes from the NPRM

Under the final rule, existing noncompetes for senior executives can remain in force. Employers, however, are prohibited from entering into or enforcing new noncompetes with senior executives. The final rule defines senior executives as workers earning more than $151,164 annually and who are in policy-making positions.

Additionally, the Commission has eliminated a provision in the proposed rule that would have required employers to legally modify existing noncompetes by formally rescinding them. That change will help to streamline compliance.

Instead, under the final rule, employers will simply have to provide notice to workers bound to an existing noncompete that the noncompete agreement will not be enforced against them in the future. To aid employers’ compliance with this requirement, the Commission has included model language in the final rule that employers can use to communicate to workers. 

The Commission vote to approve the issuance of the final rule was 3-2 with Commissioners Melissa Holyoak and Andrew N. Ferguson voting no. Commissioners Rebecca Kelly Slaughter , Alvaro Bedoya , Melissa Holyoak and Andrew N. Ferguson each issued separate statements. Chair Lina M. Khan will issue a separate statement.

The final rule will become effective 120 days after publication in the Federal Register.

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MDMA (Ecstasy/Molly)

• MDMA, also called Molly or Ecstasy, is a lab-made (synthetic) drug that has effects similar to stimulants like methamphetamine.  Some researchers and organizations consider MDMA to be a psychedelic drug because it can also mildly alter visual and time perception.
• MDMA’s effects may include feeling more energetic and alert and having an increased sense of well-being, warmth, and openness toward others.
• However, MDMA can also cause a number of negative health effects. For example, while deaths from MDMA are rare, overdoses can potentially be life threatening—with symptoms including high blood pressure, faintness, panic attacks, and in severe cases, a loss of consciousness and seizures.

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Initial value formulation of a quantum damped harmonic oscillator

Nishant agarwal and yi-zen chu, phys. rev. research 6 , 023113 – published 1 may 2024.

• No Citing Articles
• INTRODUCTION
• IN-IN GENERATING FUNCTIONAL
• GREEN'S FUNCTIONS
• TIME-LOCAL DISSIPATION
• TIME-NONLOCAL DISSIPATION
• BEYOND GAUSSIAN INITIAL STATES
• ACKNOWLEDGMENTS

The in-in formalism and its influence functional generalization are widely used to describe the out-of-equilibrium dynamics of unitary and open quantum systems, respectively. In this paper, we build on these techniques to develop an effective theory of a quantum damped harmonic oscillator and use it to study initial state-dependence, decoherence, and thermalization. We first consider a Gaussian initial state and quadratic influence functional and obtain general equations for the Green's functions of the oscillator. We solve the equations in the specific case of time-local dissipation and use the resulting Green's functions to obtain the purity and unequal-time two-point correlations of the oscillator. We find that the dynamics must include a nonvanishing noise term to yield physical results for the purity and that the oscillator decoheres in time such that the late-time density operator is thermal. We show that the frequency spectrum or unequal-time correlations can, however, distinguish between the damped oscillator and an isolated oscillator in thermal equilibrium and obtain a generalized fluctuation-dissipation relation for the damped oscillator. We briefly consider time-nonlocal dissipation as well, to show that the fluctuation-dissipation is satisfied for a specific choice of dissipation kernels. Lastly, we develop a double in-out path integral approach to go beyond Gaussian initial states and show that our equal-time results for time-local dissipation are in fact nonperturbative in the initial state.

• Received 25 July 2023
• Accepted 27 March 2024

DOI: https://doi.org/10.1103/PhysRevResearch.6.023113

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

• Research Areas

Authors & Affiliations

• 1 Department of Physics and Applied Physics, University of Massachusetts, Lowell, Massachusetts 01854, USA
• 2 Department of Physics, National Central University, Chungli 32001, Taiwan, Republic of China
• 3 Center for High Energy and High Field Physics (CHiP), National Central University, Chungli 32001, Taiwan, Republic of China
• * [email protected]
• † [email protected]

Article Text

Vol. 6, Iss. 2 — May - July 2024

Subject Areas

• Particles and Fields
• Quantum Physics
• Statistical Physics

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Equal-time two-point correlations 〈 X ̂ 2 ( t ) 〉 c (top, left), ( 1 / 2 ) 〈 { X ̂ ( t ) , P ̂ ( t ) } 〉 c (top, right), and 〈 P ̂ 2 ( t ) 〉 c (bottom, left) and purity (bottom, right) as a function of time for three different choices of initial state—(i) a coherent state with c x x = 1 / ( 2 ω ) ,   c x p = 0 , and c p p = ω / 2 ; (ii) a squeezed state with c x x = e − 2 r / ( 2 ω ) ,   c x p = 0 ,   c p p = e 2 r ω / 2 , and r = 1 ; and (iii) a thermal state with c x x = coth ( β ω / 2 ) / ( 2 ω ) ,   c x p = 0 ,   c p p = coth ( β ω / 2 ) ω / 2 , and β = 1 / ( 2 ω ) —in the presence of time-local dissipation with γ = ω / 2 and α = 10 ω 2 in each case and setting ω t 0 = 0 for simplicity. We also show the result for an isolated harmonic oscillator at temperature β = ( 2 / ω ) tanh − 1 ( 2 γ ω / α ) ≈ 0.2 / ω for comparison.

Unequal-time two-point correlations, symmetric (left) and antisymmetric (right), for a quantum DHO compared to an isolated harmonic oscillator in a thermal state. The DHO is initialized in a coherent state with c x x = 1 / ( 2 ω ) ,   c x p = 0 , and c p p = ω / 2 at ω t 0 = − 10 , and undergoes time-local dissipation with γ = ω / 2 and α = 10 ω 2 , while the isolated harmonic oscillator is at the temperature β = ( 2 / ω ) tanh − 1 ( 2 γ ω / α ) ≈ 0.2 / ω .

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