what does research findings mean

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How to Write the Results/Findings Section in Research

What is the research paper Results section and what does it do?

The Results section of a scientific research paper represents the core findings of a study derived from the methods applied to gather and analyze information. It presents these findings in a logical sequence without bias or interpretation from the author, setting up the reader for later interpretation and evaluation in the Discussion section. A major purpose of the Results section is to break down the data into sentences that show its significance to the research question(s).

The Results section appears third in the section sequence in most scientific papers. It follows the presentation of the Methods and Materials and is presented before the Discussion section —although the Results and Discussion are presented together in many journals. This section answers the basic question “What did you find in your research?”

What is included in the Results section?

The Results section should include the findings of your study and ONLY the findings of your study. The findings include:

• Data presented in tables, charts, graphs, and other figures (may be placed into the text or on separate pages at the end of the manuscript)
• A contextual analysis of this data explaining its meaning in sentence form
• All data that corresponds to the central research question(s)
• All secondary findings (secondary outcomes, subgroup analyses, etc.)

If the scope of the study is broad, or if you studied a variety of variables, or if the methodology used yields a wide range of different results, the author should present only those results that are most relevant to the research question stated in the Introduction section .

As a general rule, any information that does not present the direct findings or outcome of the study should be left out of this section. Unless the journal requests that authors combine the Results and Discussion sections, explanations and interpretations should be omitted from the Results.

How are the results organized?

The best way to organize your Results section is “logically.” One logical and clear method of organizing research results is to provide them alongside the research questions—within each research question, present the type of data that addresses that research question.

Let’s look at an example. Your research question is based on a survey among patients who were treated at a hospital and received postoperative care. Let’s say your first research question is:

“What do hospital patients over age 55 think about postoperative care?”

This can actually be represented as a heading within your Results section, though it might be presented as a statement rather than a question:

Attitudes towards postoperative care in patients over the age of 55

Now present the results that address this specific research question first. In this case, perhaps a table illustrating data from a survey. Likert items can be included in this example. Tables can also present standard deviations, probabilities, correlation matrices, etc.

Following this, present a content analysis, in words, of one end of the spectrum of the survey or data table. In our example case, start with the POSITIVE survey responses regarding postoperative care, using descriptive phrases. For example:

“Sixty-five percent of patients over 55 responded positively to the question “ Are you satisfied with your hospital’s postoperative care ?” (Fig. 2)

Include other results such as subcategory analyses. The amount of textual description used will depend on how much interpretation of tables and figures is necessary and how many examples the reader needs in order to understand the significance of your research findings.

Next, present a content analysis of another part of the spectrum of the same research question, perhaps the NEGATIVE or NEUTRAL responses to the survey. For instance:

  “As Figure 1 shows, 15 out of 60 patients in Group A responded negatively to Question 2.”

After you have assessed the data in one figure and explained it sufficiently, move on to your next research question. For example:

  “How does patient satisfaction correspond to in-hospital improvements made to postoperative care?”

This kind of data may be presented through a figure or set of figures (for instance, a paired T-test table).

Explain the data you present, here in a table, with a concise content analysis:

“The p-value for the comparison between the before and after groups of patients was .03% (Fig. 2), indicating that the greater the dissatisfaction among patients, the more frequent the improvements that were made to postoperative care.”

Let’s examine another example of a Results section from a study on plant tolerance to heavy metal stress . In the Introduction section, the aims of the study are presented as “determining the physiological and morphological responses of Allium cepa L. towards increased cadmium toxicity” and “evaluating its potential to accumulate the metal and its associated environmental consequences.” The Results section presents data showing how these aims are achieved in tables alongside a content analysis, beginning with an overview of the findings:

“Cadmium caused inhibition of root and leave elongation, with increasing effects at higher exposure doses (Fig. 1a-c).”

The figure containing this data is cited in parentheses. Note that this author has combined three graphs into one single figure. Separating the data into separate graphs focusing on specific aspects makes it easier for the reader to assess the findings, and consolidating this information into one figure saves space and makes it easy to locate the most relevant results.

Following this overall summary, the relevant data in the tables is broken down into greater detail in text form in the Results section.

• “Results on the bio-accumulation of cadmium were found to be the highest (17.5 mg kgG1) in the bulb, when the concentration of cadmium in the solution was 1×10G2 M and lowest (0.11 mg kgG1) in the leaves when the concentration was 1×10G3 M.”

Captioning and Referencing Tables and Figures

Tables and figures are central components of your Results section and you need to carefully think about the most effective way to use graphs and tables to present your findings . Therefore, it is crucial to know how to write strong figure captions and to refer to them within the text of the Results section.

The most important advice one can give here as well as throughout the paper is to check the requirements and standards of the journal to which you are submitting your work. Every journal has its own design and layout standards, which you can find in the author instructions on the target journal’s website. Perusing a journal’s published articles will also give you an idea of the proper number, size, and complexity of your figures.

Regardless of which format you use, the figures should be placed in the order they are referenced in the Results section and be as clear and easy to understand as possible. If there are multiple variables being considered (within one or more research questions), it can be a good idea to split these up into separate figures. Subsequently, these can be referenced and analyzed under separate headings and paragraphs in the text.

To create a caption, consider the research question being asked and change it into a phrase. For instance, if one question is “Which color did participants choose?”, the caption might be “Color choice by participant group.” Or in our last research paper example, where the question was “What is the concentration of cadmium in different parts of the onion after 14 days?” the caption reads:

 “Fig. 1(a-c): Mean concentration of Cd determined in (a) bulbs, (b) leaves, and (c) roots of onions after a 14-day period.”

Steps for Composing the Results Section

Because each study is unique, there is no one-size-fits-all approach when it comes to designing a strategy for structuring and writing the section of a research paper where findings are presented. The content and layout of this section will be determined by the specific area of research, the design of the study and its particular methodologies, and the guidelines of the target journal and its editors. However, the following steps can be used to compose the results of most scientific research studies and are essential for researchers who are new to preparing a manuscript for publication or who need a reminder of how to construct the Results section.

Step 1 : Consult the guidelines or instructions that the target journal or publisher provides authors and read research papers it has published, especially those with similar topics, methods, or results to your study.

• The guidelines will generally outline specific requirements for the results or findings section, and the published articles will provide sound examples of successful approaches.
• Note length limitations on restrictions on content. For instance, while many journals require the Results and Discussion sections to be separate, others do not—qualitative research papers often include results and interpretations in the same section (“Results and Discussion”).
• Reading the aims and scope in the journal’s “ guide for authors ” section and understanding the interests of its readers will be invaluable in preparing to write the Results section.

Step 2 : Consider your research results in relation to the journal’s requirements and catalogue your results.

• Focus on experimental results and other findings that are especially relevant to your research questions and objectives and include them even if they are unexpected or do not support your ideas and hypotheses.
• Catalogue your findings—use subheadings to streamline and clarify your report. This will help you avoid excessive and peripheral details as you write and also help your reader understand and remember your findings. Create appendices that might interest specialists but prove too long or distracting for other readers.
• Decide how you will structure of your results. You might match the order of the research questions and hypotheses to your results, or you could arrange them according to the order presented in the Methods section. A chronological order or even a hierarchy of importance or meaningful grouping of main themes or categories might prove effective. Consider your audience, evidence, and most importantly, the objectives of your research when choosing a structure for presenting your findings.

Step 3 : Design figures and tables to present and illustrate your data.

• Tables and figures should be numbered according to the order in which they are mentioned in the main text of the paper.
• Information in figures should be relatively self-explanatory (with the aid of captions), and their design should include all definitions and other information necessary for readers to understand the findings without reading all of the text.
• Use tables and figures as a focal point to tell a clear and informative story about your research and avoid repeating information. But remember that while figures clarify and enhance the text, they cannot replace it.

Step 4 : Draft your Results section using the findings and figures you have organized.

• The goal is to communicate this complex information as clearly and precisely as possible; precise and compact phrases and sentences are most effective.
• In the opening paragraph of this section, restate your research questions or aims to focus the reader’s attention to what the results are trying to show. It is also a good idea to summarize key findings at the end of this section to create a logical transition to the interpretation and discussion that follows.
• Try to write in the past tense and the active voice to relay the findings since the research has already been done and the agent is usually clear. This will ensure that your explanations are also clear and logical.
• Make sure that any specialized terminology or abbreviation you have used here has been defined and clarified in the  Introduction section .

Step 5 : Review your draft; edit and revise until it reports results exactly as you would like to have them reported to your readers.

• Double-check the accuracy and consistency of all the data, as well as all of the visual elements included.
• Read your draft aloud to catch language errors (grammar, spelling, and mechanics), awkward phrases, and missing transitions.
• Ensure that your results are presented in the best order to focus on objectives and prepare readers for interpretations, valuations, and recommendations in the Discussion section . Look back over the paper’s Introduction and background while anticipating the Discussion and Conclusion sections to ensure that the presentation of your results is consistent and effective.
• Consider seeking additional guidance on your paper. Find additional readers to look over your Results section and see if it can be improved in any way. Peers, professors, or qualified experts can provide valuable insights.

One excellent option is to use a professional English proofreading and editing service  such as Wordvice, including our paper editing service . With hundreds of qualified editors from dozens of scientific fields, Wordvice has helped thousands of authors revise their manuscripts and get accepted into their target journals. Read more about the  proofreading and editing process  before proceeding with getting academic editing services and manuscript editing services for your manuscript.

As the representation of your study’s data output, the Results section presents the core information in your research paper. By writing with clarity and conciseness and by highlighting and explaining the crucial findings of their study, authors increase the impact and effectiveness of their research manuscripts.

For more articles and videos on writing your research manuscript, visit Wordvice’s Resources page.

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Findings, Evaluation, Implications, and Recommendations for Research: Positioning your Research in the Field

The third section of your dissertation is where you show how your work fits in the existing field of literature and establishes your position as a scholar and practitioner in the field. This is the culmination of all your work and effort. The results of your research will show how your findings relate to those existing studies about your topic.

Think of the topic you investigated as a giant crossword puzzle. Your work is one piece that will help provide a better understanding of the reasons behind the problem. What does your work mean for others in the field? Your findings may complement existing studies or present new ideas about the problem. What needs to be addressed or changed about how things are being done? Based on your findings and the implications from those findings, what specific things can be done to improve practice? What actions can be taken to make things better?

Your recommendations for others in the field will provide ways to apply the results of your work. Based on your results and implications, they provide examples of practical actions and suggestions for additional research to add to the understanding of the problem you investigated. As a scholar, these are your contributions to the field.

• What did your data reveal?
• What did you find related to the problem?

Evaluation of the Outcomes

• How do your findings confirm or contradict the existing literature? 
• What new things did you discover?

Implications

• Where does your work fit?
• What do your findings suggest to those working in the field?

Recommendations for Practice

• Based on your Findings and Implications, what specific actions should be taken to address the problem?

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Science, health, and public trust.

September 8, 2021

Explaining How Research Works

We’ve heard “follow the science” a lot during the pandemic. But it seems science has taken us on a long and winding road filled with twists and turns, even changing directions at times. That’s led some people to feel they can’t trust science. But when what we know changes, it often means science is working.

Explaining the scientific process may be one way that science communicators can help maintain public trust in science. Placing research in the bigger context of its field and where it fits into the scientific process can help people better understand and interpret new findings as they emerge. A single study usually uncovers only a piece of a larger puzzle.

Questions about how the world works are often investigated on many different levels. For example, scientists can look at the different atoms in a molecule, cells in a tissue, or how different tissues or systems affect each other. Researchers often must choose one or a finite number of ways to investigate a question. It can take many different studies using different approaches to start piecing the whole picture together.

Sometimes it might seem like research results contradict each other. But often, studies are just looking at different aspects of the same problem. Researchers can also investigate a question using different techniques or timeframes. That may lead them to arrive at different conclusions from the same data.

Using the data available at the time of their study, scientists develop different explanations, or models. New information may mean that a novel model needs to be developed to account for it. The models that prevail are those that can withstand the test of time and incorporate new information. Science is a constantly evolving and self-correcting process.

Scientists gain more confidence about a model through the scientific process. They replicate each other’s work. They present at conferences. And papers undergo peer review, in which experts in the field review the work before it can be published in scientific journals. This helps ensure that the study is up to current scientific standards and maintains a level of integrity. Peer reviewers may find problems with the experiments or think different experiments are needed to justify the conclusions. They might even offer new ways to interpret the data.

It’s important for science communicators to consider which stage a study is at in the scientific process when deciding whether to cover it. Some studies are posted on preprint servers for other scientists to start weighing in on and haven’t yet been fully vetted. Results that haven't yet been subjected to scientific scrutiny should be reported on with care and context to avoid confusion or frustration from readers.

We’ve developed a one-page guide, "How Research Works: Understanding the Process of Science" to help communicators put the process of science into perspective. We hope it can serve as a useful resource to help explain why science changes—and why it’s important to expect that change. Please take a look and share your thoughts with us by sending an email to  [email protected].

Below are some additional resources:

• Discoveries in Basic Science: A Perfectly Imperfect Process
• When Clinical Research Is in the News
• What is Basic Science and Why is it Important?
• ​ What is a Research Organism?
• What Are Clinical Trials and Studies?
• Basic Research – Digital Media Kit
• Decoding Science: How Does Science Know What It Knows? (NAS)
• Can Science Help People Make Decisions ? (NAS)

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Research Findings – Objectives , Importance and Techniques

Published 16 October, 2023

Findings are basically the key outcome of the investigation. It is basically a key fact which you can discover during an investigation. Research findings are facts and phrases, observations, and experimental data resulting from research.

It’s important to note here that “finding” does not always mean “factual information” because conductive research relies on results and implications rather than measurable facts.

For example, A researcher is conducting research for measuring the extent up to which globalization impacts the business activities of firms. The findings of the research reveal that there has been a great increase in the profitability of companies after globalization. An important fact which researcher has discovered is that it is globalization which has enabled firms to expand their business operations at the international level.

Objectives of finding section in the research paper

• The main objective of the finding section in a research paper is to display or showcase the outcome in a logical manner by utilizing, tables, graphs, and charts.
• The objective of research findings is to provide a holistic view of the latest research findings in related areas.
• Research findings also aim at providing novel concepts and innovative findings that can be utilized for further research, development of new products or services, implementation of better business strategies, etc.

For example, an academic paper on “the use of product life cycle theory with reference to various product categories” will not only discuss different dimensions of the product life cycle but would also present a detailed case study analysis on how the concept was applied using several contemporary case studies from diverse industries.

Importance of findings in the research paper

The finding section in the research paper has great importance as

• It is the section in a research paper or dissertation that will help you in developing an in-depth understanding of the research problems .
• This is the section where the theories where you can accept or reject theories.
• The findings section helps you in demonstrating the significance of the problem on which you are performing research.
• It is through analysis of the finding section you can easily address the correlational research between the different types of variables in the study.

How to Write Research Findings?

Every research project is unique, so it is very much important for the researcher to utilize different strategies for writing different sections of the research paper. 5 steps that you need to follow for writing the research findings section are:

Step 1: Review the guidelines or instructions of the instructor

It is an initial step, where you should review the guidelines.  By reading the guidelines you will be able to address the different requirements for presenting the results. While reviewing the guidelines you should also keep in mind the restrictions related to the interpretations. In the reseal findings sections, you can also make a comparison between your research results with the outcome of the investigation which other researchers have performed.

Step 2: Focus on the results of the experiment and other findings

At this step, you should choose specific focus experimental results and other research discoveries which are relevant to research questions and objectives. You utilizing subheadings can avoid excessive and peripheral details.  Students can present raw data in appendices of a research paper. You should provide a summary of key findings after completion of the section. Before making the decision related to the structure of the findings section, you need to consider the hypothesis in research and research questions . You should match the format of the findings chapter with that of the research methods sections.

Step 3: Design effective visual presentations

Designing effective visual presentations of research results will help you in improving textual reports of findings. Students can use tables of different styles and unique figures such as maps, graphs, photos which are mainly used by researchers for presenting research findings. But it is very much essential for you to review the journal guidelines. As this is the tactics which will help you in analyzing the requirement of labeling and specific type of formatting. You should number tables, figures, and placement in the manuscript. You should provide a clear and detailed explanation of the data in tables and charts.  Tables and figures should also be self-explanatory

Step 4: Write findings section

You should write the findings sections in a factual and objective manner. While writing the research findings section you should keep in mind its aim. The main aim of the specific section is to communicate information. While writing a findings chapter, it is very much important for you to construct sentences by using a simple structure. You should use an active voice for writing research-finding chapters.  It is very much crucial for you to maintain your concentration on grammar, punctuation, and spelling. Students can utilize a special type of terminology for presenting the findings of the study. You can use thematic analysis in research for presenting the findings. In the thematic analysis technique, you need to design themes on the basis of the answers of respondents.

You should use a logical approach for organizing the findings section in a research paper.  it is very much necessary to highlight the main point and provide summary information which is important for readers in order to develop an understanding of the research discussion section.

Step 5: Review draft of findings section

After writing the findings, you should revise and review them. It is the review technique that will enable you to check accuracy and consistency in information. You can read the content aloud. It s the strategy which will help you in addressing the mistakes.  Ensure that the order in which you have presented results is the best order for focusing readers on your research objectives and preparing them for the interpretations, speculations. Students can also provide recommendations in the discussion chapter. They in order to provide good suggestions need to review back such as introduction, background material.

Read Also: Research Paper Conclusion Tips

Techniques of summarizing important findings

There are a few techniques that you can apply for writing your findings section in a systematic manner. Firstly, you should summarize the key findings. For example, you should start your finding a section like this:

• The outcome of research reveals that ……
• The investigation represents the correlation among….
• While writing the finding section in a research paper, you do not include information that is not important.
• You should provide a synopsis of outcomes along with a detailed description of the findings. It is considered to be an effective approach that can be applied to highlighting the key finding.
• You should use graphs, tables, and charts for presenting the finding
• While writing the findings section you need to highlight the negative outcomes. Students also need to provide proper justification and explanation for the same.

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The purpose of the discussion section is to interpret and describe the significance of your findings in relation to what was already known about the research problem being investigated and to explain any new understanding or insights that emerged as a result of your research. The discussion will always connect to the introduction by way of the research questions or hypotheses you posed and the literature you reviewed, but the discussion does not simply repeat or rearrange the first parts of your paper; the discussion clearly explains how your study advanced the reader's understanding of the research problem from where you left them at the end of your review of prior research.

Annesley, Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Peacock, Matthew. “Communicative Moves in the Discussion Section of Research Articles.” System 30 (December 2002): 479-497.

Importance of a Good Discussion

The discussion section is often considered the most important part of your research paper because it:

• Most effectively demonstrates your ability as a researcher to think critically about an issue, to develop creative solutions to problems based upon a logical synthesis of the findings, and to formulate a deeper, more profound understanding of the research problem under investigation;
• Presents the underlying meaning of your research, notes possible implications in other areas of study, and explores possible improvements that can be made in order to further develop the concerns of your research;
• Highlights the importance of your study and how it can contribute to understanding the research problem within the field of study;
• Presents how the findings from your study revealed and helped fill gaps in the literature that had not been previously exposed or adequately described; and,
• Engages the reader in thinking critically about issues based on an evidence-based interpretation of findings; it is not governed strictly by objective reporting of information.

Annesley Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Bitchener, John and Helen Basturkmen. “Perceptions of the Difficulties of Postgraduate L2 Thesis Students Writing the Discussion Section.” Journal of English for Academic Purposes 5 (January 2006): 4-18; Kretchmer, Paul. Fourteen Steps to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008.

Structure and Writing Style

I.  General Rules

These are the general rules you should adopt when composing your discussion of the results :

• Do not be verbose or repetitive; be concise and make your points clearly
• Avoid the use of jargon or undefined technical language
• Follow a logical stream of thought; in general, interpret and discuss the significance of your findings in the same sequence you described them in your results section [a notable exception is to begin by highlighting an unexpected result or a finding that can grab the reader's attention]
• Use the present verb tense, especially for established facts; however, refer to specific works or prior studies in the past tense
• If needed, use subheadings to help organize your discussion or to categorize your interpretations into themes

II.  The Content

The content of the discussion section of your paper most often includes :

• Explanation of results : Comment on whether or not the results were expected for each set of findings; go into greater depth to explain findings that were unexpected or especially profound. If appropriate, note any unusual or unanticipated patterns or trends that emerged from your results and explain their meaning in relation to the research problem.
• References to previous research : Either compare your results with the findings from other studies or use the studies to support a claim. This can include re-visiting key sources already cited in your literature review section, or, save them to cite later in the discussion section if they are more important to compare with your results instead of being a part of the general literature review of prior research used to provide context and background information. Note that you can make this decision to highlight specific studies after you have begun writing the discussion section.
• Deduction : A claim for how the results can be applied more generally. For example, describing lessons learned, proposing recommendations that can help improve a situation, or highlighting best practices.
• Hypothesis : A more general claim or possible conclusion arising from the results [which may be proved or disproved in subsequent research]. This can be framed as new research questions that emerged as a consequence of your analysis.

III.  Organization and Structure

Keep the following sequential points in mind as you organize and write the discussion section of your paper:

• Think of your discussion as an inverted pyramid. Organize the discussion from the general to the specific, linking your findings to the literature, then to theory, then to practice [if appropriate].
• Use the same key terms, narrative style, and verb tense [present] that you used when describing the research problem in your introduction.
• Begin by briefly re-stating the research problem you were investigating and answer all of the research questions underpinning the problem that you posed in the introduction.
• Describe the patterns, principles, and relationships shown by each major findings and place them in proper perspective. The sequence of this information is important; first state the answer, then the relevant results, then cite the work of others. If appropriate, refer the reader to a figure or table to help enhance the interpretation of the data [either within the text or as an appendix].
• Regardless of where it's mentioned, a good discussion section includes analysis of any unexpected findings. This part of the discussion should begin with a description of the unanticipated finding, followed by a brief interpretation as to why you believe it appeared and, if necessary, its possible significance in relation to the overall study. If more than one unexpected finding emerged during the study, describe each of them in the order they appeared as you gathered or analyzed the data. As noted, the exception to discussing findings in the same order you described them in the results section would be to begin by highlighting the implications of a particularly unexpected or significant finding that emerged from the study, followed by a discussion of the remaining findings.
• Before concluding the discussion, identify potential limitations and weaknesses if you do not plan to do so in the conclusion of the paper. Comment on their relative importance in relation to your overall interpretation of the results and, if necessary, note how they may affect the validity of your findings. Avoid using an apologetic tone; however, be honest and self-critical [e.g., in retrospect, had you included a particular question in a survey instrument, additional data could have been revealed].
• The discussion section should end with a concise summary of the principal implications of the findings regardless of their significance. Give a brief explanation about why you believe the findings and conclusions of your study are important and how they support broader knowledge or understanding of the research problem. This can be followed by any recommendations for further research. However, do not offer recommendations which could have been easily addressed within the study. This would demonstrate to the reader that you have inadequately examined and interpreted the data.

IV.  Overall Objectives

The objectives of your discussion section should include the following: I.  Reiterate the Research Problem/State the Major Findings

Briefly reiterate the research problem or problems you are investigating and the methods you used to investigate them, then move quickly to describe the major findings of the study. You should write a direct, declarative, and succinct proclamation of the study results, usually in one paragraph.

II.  Explain the Meaning of the Findings and Why They are Important

No one has thought as long and hard about your study as you have. Systematically explain the underlying meaning of your findings and state why you believe they are significant. After reading the discussion section, you want the reader to think critically about the results and why they are important. You don’t want to force the reader to go through the paper multiple times to figure out what it all means. If applicable, begin this part of the section by repeating what you consider to be your most significant or unanticipated finding first, then systematically review each finding. Otherwise, follow the general order you reported the findings presented in the results section.

III.  Relate the Findings to Similar Studies

No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your results to those found in other studies, particularly if questions raised from prior studies served as the motivation for your research. This is important because comparing and contrasting the findings of other studies helps to support the overall importance of your results and it highlights how and in what ways your study differs from other research about the topic. Note that any significant or unanticipated finding is often because there was no prior research to indicate the finding could occur. If there is prior research to indicate this, you need to explain why it was significant or unanticipated. IV.  Consider Alternative Explanations of the Findings

It is important to remember that the purpose of research in the social sciences is to discover and not to prove . When writing the discussion section, you should carefully consider all possible explanations for the study results, rather than just those that fit your hypothesis or prior assumptions and biases. This is especially important when describing the discovery of significant or unanticipated findings.

V.  Acknowledge the Study’s Limitations

It is far better for you to identify and acknowledge your study’s limitations than to have them pointed out by your professor! Note any unanswered questions or issues your study could not address and describe the generalizability of your results to other situations. If a limitation is applicable to the method chosen to gather information, then describe in detail the problems you encountered and why. VI.  Make Suggestions for Further Research

You may choose to conclude the discussion section by making suggestions for further research [as opposed to offering suggestions in the conclusion of your paper]. Although your study can offer important insights about the research problem, this is where you can address other questions related to the problem that remain unanswered or highlight hidden issues that were revealed as a result of conducting your research. You should frame your suggestions by linking the need for further research to the limitations of your study [e.g., in future studies, the survey instrument should include more questions that ask..."] or linking to critical issues revealed from the data that were not considered initially in your research.

NOTE: Besides the literature review section, the preponderance of references to sources is usually found in the discussion section . A few historical references may be helpful for perspective, but most of the references should be relatively recent and included to aid in the interpretation of your results, to support the significance of a finding, and/or to place a finding within a particular context. If a study that you cited does not support your findings, don't ignore it--clearly explain why your research findings differ from theirs.

V.  Problems to Avoid

• Do not waste time restating your results . Should you need to remind the reader of a finding to be discussed, use "bridge sentences" that relate the result to the interpretation. An example would be: “In the case of determining available housing to single women with children in rural areas of Texas, the findings suggest that access to good schools is important...," then move on to further explaining this finding and its implications.
• As noted, recommendations for further research can be included in either the discussion or conclusion of your paper, but do not repeat your recommendations in the both sections. Think about the overall narrative flow of your paper to determine where best to locate this information. However, if your findings raise a lot of new questions or issues, consider including suggestions for further research in the discussion section.
• Do not introduce new results in the discussion section. Be wary of mistaking the reiteration of a specific finding for an interpretation because it may confuse the reader. The description of findings [results section] and the interpretation of their significance [discussion section] should be distinct parts of your paper. If you choose to combine the results section and the discussion section into a single narrative, you must be clear in how you report the information discovered and your own interpretation of each finding. This approach is not recommended if you lack experience writing college-level research papers.
• Use of the first person pronoun is generally acceptable. Using first person singular pronouns can help emphasize a point or illustrate a contrasting finding. However, keep in mind that too much use of the first person can actually distract the reader from the main points [i.e., I know you're telling me this--just tell me!].

Analyzing vs. Summarizing. Department of English Writing Guide. George Mason University; Discussion. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Hess, Dean R. "How to Write an Effective Discussion." Respiratory Care 49 (October 2004); Kretchmer, Paul. Fourteen Steps to Writing to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008; The Lab Report. University College Writing Centre. University of Toronto; Sauaia, A. et al. "The Anatomy of an Article: The Discussion Section: "How Does the Article I Read Today Change What I Will Recommend to my Patients Tomorrow?” The Journal of Trauma and Acute Care Surgery 74 (June 2013): 1599-1602; Research Limitations & Future Research . Lund Research Ltd., 2012; Summary: Using it Wisely. The Writing Center. University of North Carolina; Schafer, Mickey S. Writing the Discussion. Writing in Psychology course syllabus. University of Florida; Yellin, Linda L. A Sociology Writer's Guide . Boston, MA: Allyn and Bacon, 2009.

Writing Tip

Don’t Over-Interpret the Results!

Interpretation is a subjective exercise. As such, you should always approach the selection and interpretation of your findings introspectively and to think critically about the possibility of judgmental biases unintentionally entering into discussions about the significance of your work. With this in mind, be careful that you do not read more into the findings than can be supported by the evidence you have gathered. Remember that the data are the data: nothing more, nothing less.

MacCoun, Robert J. "Biases in the Interpretation and Use of Research Results." Annual Review of Psychology 49 (February 1998): 259-287; Ward, Paulet al, editors. The Oxford Handbook of Expertise . Oxford, UK: Oxford University Press, 2018.

Another Writing Tip

Don't Write Two Results Sections!

One of the most common mistakes that you can make when discussing the results of your study is to present a superficial interpretation of the findings that more or less re-states the results section of your paper. Obviously, you must refer to your results when discussing them, but focus on the interpretation of those results and their significance in relation to the research problem, not the data itself.

Azar, Beth. "Discussing Your Findings."  American Psychological Association gradPSYCH Magazine (January 2006).

Yet Another Writing Tip

Avoid Unwarranted Speculation!

The discussion section should remain focused on the findings of your study. For example, if the purpose of your research was to measure the impact of foreign aid on increasing access to education among disadvantaged children in Bangladesh, it would not be appropriate to speculate about how your findings might apply to populations in other countries without drawing from existing studies to support your claim or if analysis of other countries was not a part of your original research design. If you feel compelled to speculate, do so in the form of describing possible implications or explaining possible impacts. Be certain that you clearly identify your comments as speculation or as a suggestion for where further research is needed. Sometimes your professor will encourage you to expand your discussion of the results in this way, while others don’t care what your opinion is beyond your effort to interpret the data in relation to the research problem.

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How to Write an “Implications of Research” Section

4-minute read

• 24th October 2022

When writing research papers , theses, journal articles, or dissertations, one cannot ignore the importance of research. You’re not only the writer of your paper but also the researcher ! Moreover, it’s not just about researching your topic, filling your paper with abundant citations, and topping it off with a reference list. You need to dig deep into your research and provide related literature on your topic. You must also discuss the implications of your research.

Interested in learning more about implications of research? Read on! This post will define these implications, why they’re essential, and most importantly, how to write them. If you’re a visual learner, you might enjoy this video .

What Are Implications of Research?

Implications are potential questions from your research that justify further exploration. They state how your research findings could affect policies, theories, and/or practices.

Implications can either be practical or theoretical. The former is the direct impact of your findings on related practices, whereas the latter is the impact on the theories you have chosen in your study.

Example of a practical implication: If you’re researching a teaching method, the implication would be how teachers can use that method based on your findings.

Example of a theoretical implication: You added a new variable to Theory A so that it could cover a broader perspective.

Finally, implications aren’t the same as recommendations, and it’s important to know the difference between them .

Questions you should consider when developing the implications section:

●  What is the significance of your findings?

●  How do the findings of your study fit with or contradict existing research on this topic?

●  Do your results support or challenge existing theories? If they support them, what new information do they contribute? If they challenge them, why do you think that is?

Why Are Implications Important?

You need implications for the following reasons:

● To reflect on what you set out to accomplish in the first place

● To see if there’s a change to the initial perspective, now that you’ve collected the data

● To inform your audience, who might be curious about the impact of your research

How to Write an Implications Section

Usually, you write your research implications in the discussion section of your paper. This is the section before the conclusion when you discuss all the hard work you did. Additionally, you’ll write the implications section before making recommendations for future research.

Implications should begin with what you discovered in your study, which differs from what previous studies found, and then you can discuss the implications of your findings.

Your implications need to be specific, meaning you should show the exact contributions of your research and why they’re essential. They should also begin with a specific sentence structure.

Examples of starting implication sentences:

●  These results build on existing evidence of…

●  These findings suggest that…

●  These results should be considered when…

●  While previous research has focused on x , these results show that y …

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You should write your implications after you’ve stated the results of your research. In other words, summarize your findings and put them into context.

The result : One study found that young learners enjoy short activities when learning a foreign language.

The implications : This result suggests that foreign language teachers use short activities when teaching young learners, as they positively affect learning.

 Example 2

The result : One study found that people who listen to calming music just before going to bed sleep better than those who watch TV.

The implications : These findings suggest that listening to calming music aids sleep quality, whereas watching TV does not.

To summarize, remember these key pointers:

●  Implications are the impact of your findings on the field of study.

●  They serve as a reflection of the research you’ve conducted.              

●  They show the specific contributions of your findings and why the audience should care.

●  They can be practical or theoretical.

●  They aren’t the same as recommendations.

●  You write them in the discussion section of the paper.

●  State the results first, and then state their implications.

Are you currently working on a thesis or dissertation? Once you’ve finished your paper (implications included), our proofreading team can help ensure that your spelling, punctuation, and grammar are perfect. Consider submitting a 500-word document for free.

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The Difference Between Analysis & Findings in a Research Paper

25 jun 2018.

The exact format of a research paper varies across disciplines, but they share certain features in common. They have the following sections, which may have different names in different fields: introduction, literature review (these first two are often combined), methodology, data analysis, results or findings, discussion and conclusion. These last two are also often combined into one section.

Explore this article

• Basic Description of Analysis and Findings
• What is Needed to Write the Analysis and Findings Sections
• Who Should Write the Analysis and Findings Sections
• Style of the Analysis and Findings Sections

1 Basic Description of Analysis and Findings

In the analysis section, you describe what you did with your data. If it is a quantitative paper, this will include details of statistical procedures. If it is a qualitative paper, it may include a SWOT analysis which looks at the strengths, weaknesses, opportunities and threats of the statistical data. As an example, a SWOT analysis can be used in business applications to determine a future business path based on current analysis. In the findings or results section, you report what the analysis revealed but only the factual matter of the results, not their implication or meaning. The findings are the research questions that you found answers for during your research.

2 What is Needed to Write the Analysis and Findings Sections

To write the analysis section, you need to know what the analysis findings are. You do not necessarily need the specific data unless the analysis changed as a result of looking at that data. To write the findings section, you need to have already performed the data analysis.

3 Who Should Write the Analysis and Findings Sections

If the paper has more than one author as many research papers do, then different people may write the analysis and findings sections. The author who writes the analysis section should be knowledgeable about the methods used. If it is a quantitative paper, he or she may be a statistician or data analyst. The author who writes the findings section should be knowledgeable about the way findings in the field are reported. This author of the findings section will often also be the lead author of the paper.

4 Style of the Analysis and Findings Sections

The analysis section often includes a justification of the methods used. As it is often technical in nature, it may be skipped by many readers. By contrast, the findings section is purely descriptive and should be easily understood by all members of the paper's targeted audience. The findings section might be written in past tense and should be clear and concise enough for that audience to understand the reported results. Looking over the appropriate style guide for your research's paper or reading similar research sections in other papers are two ways to guide the writing of these sections.

• 1 Monash University: Reporting and Discussing Your Findings
• 2 American Psychological Association: Discussing Your Findings
• 3 Sacred Heart University Library: The Results Organizing Academic Research Papers
• 4 University of Southern California: Presenting Finds Qualitative

About the Author

Peter Flom is a statistician and a learning-disabled adult. He has been writing for many years and has been published in many academic journals in fields such as psychology, drug addiction, epidemiology and others. He holds a Ph.D. in psychometrics from Fordham University.

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

About the author.

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What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

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Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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What are Implications in Research?

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Manuscripts that do not mention the implications of the study are often desk-rejected by journals. What constitutes the ‘implications’ of research, and why is it important to include research implications in your manuscript?

Research implications: An overview

Once you have laid out the key findings in your paper, you have to discuss how they will likely impact the world. What is the significance of your study to policymakers, the lay person, or other researchers? This speculation, made in good faith, constitutes your study’ implications.

A research paper that does not explain the study’s importance in light of its findings exists in a vacuum. The paper may be relevant to you, the author, and some of your co-workers. But it is unclear how others will benefit from reading it.

How can the findings of your study help create a better world? What can we infer from your conclusion about the current state of research in your field or the quality of methods you employed? These are all important implications of your study.

You cannot predict how your study will influence the world or research in the future. You can only make reasonable speculations. In order to ensure that the implications are reasonable, you have to be mindful of the limitations of your study.

In the research context, only speculations supported by data count as valid implications. If the implications you draw do not logically follow the key findings of your study, they may sound overblown or outright preposterous.

Suppose your study evaluated the effects of a new drug in the adult population. In that case, you could not honestly speculate on how the drug will impact paediatric care. Thus, the implications you draw from your study cannot exceed its scope.

Practical implications

Imagine that your study found a popular type of cognitive therapy to be ineffective in treating insomnia. Your findings imply that psychologists using this type of therapy were not seeing actual results but an expectancy effect. Studies that can potentially impact real-world problems by prompting policy change or change in treatments have practical implications.

It can be helpful to understand the difference between an implication of your study and a recommendation. Suppose your study compares two or more types of therapy, ranks them in the order of effectiveness, and explicitly asks clinicians to follow the most effective type. The suggestion made in the end constitutes a ‘recommendation’ and not an ‘implication’.

Theoretical implications

Are your findings in line with previous research? Did your results validate the methods used in previous research or invalidate them? Has your study discovered a new and helpful way to do experiments? Speculations on how your findings can potentially impact research in your field of study are theoretical implications.

The main difference between practical and theoretical implications is that theoretical implications may not be readily helpful to policymakers or the public.

How to Write Implications in Research

Implications usually form an essential part of the conclusion section of a research paper. As we have mentioned in a previous article, this section starts by summarising your work, but this time emphasises your work’s significance .

While writing the implications, it is helpful to ask, “who will benefit the most from reading my paper?”—policymakers, physicians, the public, or other researchers. Once you know your target population, explain how your findings can help them.

Think about how the findings in your study are similar or dissimilar to the findings of previous studies. Your study may reaffirm or disprove the results of other studies. This is an important implication.

Suggest future directions for research in the subject area in light of your findings or further research to confirm your findings. These are also crucial implications.

Do not try to exaggerate your results, and make sure your tone reflects the strength of your findings. If the implications mentioned in your paper are convincing, it can improve visibility for your work and spur similar studies in your field.

For more information on the importance of implications in research, and guidance on how to include them in your manuscript, visit Elsevier Author Services now!

Differentiating between the abstract and the introduction of a research paper

• Research Process

Writing a good review article

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How to Synthesize Written Information from Multiple Sources

Shona McCombes

Content Manager

B.A., English Literature, University of Glasgow

Shona McCombes is the content manager at Scribbr, Netherlands.

Learn about our Editorial Process

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

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When you write a literature review or essay, you have to go beyond just summarizing the articles you’ve read – you need to synthesize the literature to show how it all fits together (and how your own research fits in).

Synthesizing simply means combining. Instead of summarizing the main points of each source in turn, you put together the ideas and findings of multiple sources in order to make an overall point.

At the most basic level, this involves looking for similarities and differences between your sources. Your synthesis should show the reader where the sources overlap and where they diverge.

Unsynthesized Example

Franz (2008) studied undergraduate online students. He looked at 17 females and 18 males and found that none of them liked APA. According to Franz, the evidence suggested that all students are reluctant to learn citations style. Perez (2010) also studies undergraduate students. She looked at 42 females and 50 males and found that males were significantly more inclined to use citation software ( p < .05). Findings suggest that females might graduate sooner. Goldstein (2012) looked at British undergraduates. Among a sample of 50, all females, all confident in their abilities to cite and were eager to write their dissertations.

Synthesized Example

Studies of undergraduate students reveal conflicting conclusions regarding relationships between advanced scholarly study and citation efficacy. Although Franz (2008) found that no participants enjoyed learning citation style, Goldstein (2012) determined in a larger study that all participants watched felt comfortable citing sources, suggesting that variables among participant and control group populations must be examined more closely. Although Perez (2010) expanded on Franz’s original study with a larger, more diverse sample…

Step 1: Organize your sources

After collecting the relevant literature, you’ve got a lot of information to work through, and no clear idea of how it all fits together.

Before you can start writing, you need to organize your notes in a way that allows you to see the relationships between sources.

One way to begin synthesizing the literature is to put your notes into a table. Depending on your topic and the type of literature you’re dealing with, there are a couple of different ways you can organize this.

Summary table

A summary table collates the key points of each source under consistent headings. This is a good approach if your sources tend to have a similar structure – for instance, if they’re all empirical papers.

Each row in the table lists one source, and each column identifies a specific part of the source. You can decide which headings to include based on what’s most relevant to the literature you’re dealing with.

For example, you might include columns for things like aims, methods, variables, population, sample size, and conclusion.

For each study, you briefly summarize each of these aspects. You can also include columns for your own evaluation and analysis.

The summary table gives you a quick overview of the key points of each source. This allows you to group sources by relevant similarities, as well as noticing important differences or contradictions in their findings.

Synthesis matrix

A synthesis matrix is useful when your sources are more varied in their purpose and structure – for example, when you’re dealing with books and essays making various different arguments about a topic.

Each column in the table lists one source. Each row is labeled with a specific concept, topic or theme that recurs across all or most of the sources.

Then, for each source, you summarize the main points or arguments related to the theme.

The purposes of the table is to identify the common points that connect the sources, as well as identifying points where they diverge or disagree.

Step 2: Outline your structure

Now you should have a clear overview of the main connections and differences between the sources you’ve read. Next, you need to decide how you’ll group them together and the order in which you’ll discuss them.

For shorter papers, your outline can just identify the focus of each paragraph; for longer papers, you might want to divide it into sections with headings.

There are a few different approaches you can take to help you structure your synthesis.

If your sources cover a broad time period, and you found patterns in how researchers approached the topic over time, you can organize your discussion chronologically .

That doesn’t mean you just summarize each paper in chronological order; instead, you should group articles into time periods and identify what they have in common, as well as signalling important turning points or developments in the literature.

If the literature covers various different topics, you can organize it thematically .

That means that each paragraph or section focuses on a specific theme and explains how that theme is approached in the literature.

Source Used with Permission: The Chicago School

If you’re drawing on literature from various different fields or they use a wide variety of research methods, you can organize your sources methodologically .

That means grouping together studies based on the type of research they did and discussing the findings that emerged from each method.

If your topic involves a debate between different schools of thought, you can organize it theoretically .

That means comparing the different theories that have been developed and grouping together papers based on the position or perspective they take on the topic, as well as evaluating which arguments are most convincing.

Step 3: Write paragraphs with topic sentences

What sets a synthesis apart from a summary is that it combines various sources. The easiest way to think about this is that each paragraph should discuss a few different sources, and you should be able to condense the overall point of the paragraph into one sentence.

This is called a topic sentence , and it usually appears at the start of the paragraph. The topic sentence signals what the whole paragraph is about; every sentence in the paragraph should be clearly related to it.

A topic sentence can be a simple summary of the paragraph’s content:

“Early research on [x] focused heavily on [y].”

For an effective synthesis, you can use topic sentences to link back to the previous paragraph, highlighting a point of debate or critique:

“Several scholars have pointed out the flaws in this approach.” “While recent research has attempted to address the problem, many of these studies have methodological flaws that limit their validity.”

By using topic sentences, you can ensure that your paragraphs are coherent and clearly show the connections between the articles you are discussing.

As you write your paragraphs, avoid quoting directly from sources: use your own words to explain the commonalities and differences that you found in the literature.

Don’t try to cover every single point from every single source – the key to synthesizing is to extract the most important and relevant information and combine it to give your reader an overall picture of the state of knowledge on your topic.

Step 4: Revise, edit and proofread

Like any other piece of academic writing, synthesizing literature doesn’t happen all in one go – it involves redrafting, revising, editing and proofreading your work.

Checklist for Synthesis

•   Do I introduce the paragraph with a clear, focused topic sentence?
•   Do I discuss more than one source in the paragraph?
•   Do I mention only the most relevant findings, rather than describing every part of the studies?
•   Do I discuss the similarities or differences between the sources, rather than summarizing each source in turn?
•   Do I put the findings or arguments of the sources in my own words?
•   Is the paragraph organized around a single idea?
•   Is the paragraph directly relevant to my research question or topic?
•   Is there a logical transition from this paragraph to the next one?

Further Information

How to Synthesise: a Step-by-Step Approach

Help…I”ve Been Asked to Synthesize!

Learn how to Synthesise (combine information from sources)

How to write a Psychology Essay

Generalizability: Linking Evidence to Practice

• PMID: 31892291
• DOI: 10.2519/jospt.2020.0701

The basic concept of generalizability is simple: the results of a study are generalizable when they can be applied (are useful for informing a clinical decision) to patients who present for care. Clinicians must make reasoned decisions about generalizability of research findings beyond a study population. This requires nuanced understanding of the condition that defines the population, the study intervention, and the patient. Ultimately, clinicians must decide the level of generalizability of a study and determine how to weight the information in arriving at a treatment decision. J Orthop Sports Phys Ther 2020;50(1):45-46. doi:10.2519/jospt.2020.0701 .

Keywords: clinical practice; evidence-based practice; generalizability; research.

• Clinical Decision-Making*
• Evidence-Based Medicine / standards*
• Physical Therapy Specialty*
• Reproducibility of Results
• Research Design / standards

What is Marketing Research? Examples and Best Practices

12 min read

Marketing research is essentially a method utilized by companies to collect valuable information regarding their target market. Through the common practice of conducting market research, companies gather essential information that enables them to make informed decisions and develop products that resonate with consumers. It encompasses the gathering, analysis, and interpretation of data, which aids in identifying consumer demands, anticipating market trends, and staying ahead of the competition.

Exploratory research is one of the initial steps in the marketing research process. It helps businesses gain broad insights when specific information is unknown. If you are seeking insight into how marketing research can influence the trajectory of your SaaS, then you have come to the right place!

• Market research is a systematic and objective process crucial for understanding target markets, refining business strategies, and informing decisions, which includes collecting, analyzing, and interpreting data on customers, competitors, and the industry.
• Primary market research gathers specific data directly from the target audience using tools like surveys and focus groups, while secondary market research utilizes existing data from various sources to provide broader market insights.
• Effective market research combines both qualitative methods, which explore consumer motivations, and quantitative methods, which provide measurable statistics, to create comprehensive insights that guide business strategy and decision-making.

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Defining marketing research

Launching a product without knowing what your target audience wants is like walking in the dark. Market research lights the way, helping you collect, analyze, and understand information about your target market. This allows you to refine your business strategies and make decisions based on solid evidence.

Gone are the days when just intuition or subjective judgment was enough. Objective insights from market research help avoid costly mistakes and meet consumer needs by identifying trends and changes in the market. This is crucial for assessing a product’s potential success, optimizing marketing strategies, and preparing for market shifts.

Market research is a systematic approach that provides essential information, helping businesses navigate the complexities of the commercial world. Partnering with market research companies can offer additional benefits, leveraging their expertise in understanding market demands, trends, market size, economic indicators, location, market saturation, and pricing. Whether starting a new business, developing products, or updating marketing plans, understanding how to conduct effective market research is key to success.

To conduct market research effectively, businesses must determine study goals, identify target consumers, collect and analyze data, and use the findings to make informed decisions. This process is vital for evaluating past performance, measuring changes over time, and addressing specific business needs. It guides businesses in product development, marketing strategies, and overall decision-making, ensuring a better ROI and providing an eye-opening view of the market through various research methods, whether conducted in-house or outsourced.

The purpose of marketing research

Conducting marketing research is more than just gathering data; it’s about turning that data into actionable insights to refine your business strategies. This process helps you understand what motivates your customers, enabling you to tailor your products and services to minimize risks from the start. Importantly, market research plays a pivotal role in measuring and enhancing customer satisfaction and loyalty, which are critical for understanding key demographics, improving user experience, designing better products, and driving customer retention. Customer satisfaction is measured as a key outcome, directly linked to the success of marketing strategies and business activities.

For SaaS product managers, market research, including competitive analysis, is crucial. It evaluates past strategies and gauges the potential success of new offerings. This research provides essential insights into brand strength, consumer behavior, and market position, which are vital for teams focused on sales, marketing, and product development.

A key aspect of market research is analyzing customer attitudes and usage. This analysis offers detailed insights into what customers want, the choices they make, and the challenges they face. It helps identify opportunities in the market and aids in formulating effective strategies for market entry.

Overall, market research equips SaaS entrepreneurs with the knowledge to meet their target audience’s needs effectively, guiding product adjustments and innovations based on informed decisions.

Key components of market research

Conducting market research is analogous to preparing a cake, requiring precise ingredients in specific quantities to achieve the intended outcome. Within this realm, necessary components consist of primary and secondary data gathering, thorough analysis, and insightful interpretation.

Primary research techniques such as exploratory studies, product evolution inquiries, estimations of market dimensions and shares, and consumer behavior examinations play a crucial role in collecting targeted information that can be directly applied. These methods afford a deeper understanding of your target demographic, allowing for customized strategy development.

In contrast, secondary research enriches the specificity of primary findings by adding wider context. It taps into external resources encompassing works from other investigators, sector-specific reports, and demographics data, which provide an expansive yet less particularized landscape view of the marketplace.

The subsequent phase involves meticulous analysis of collated data offering unbiased perspectives critical for identifying deficiencies while recognizing emerging patterns. Technological progress now facilitates examination efforts on both structured and unstructured datasets effectively addressing large-scale analytical complexities.

Ultimately, it’s through expert-led interpretation that value transcends raw figures, yielding strategies grounded in deep comprehension. Akin to decoding recipes using selected ingredients—this interpretative step enables crafting optimal business maneuvers just as one would bake their ideal confectionery creation utilizing proper culinary guidance.

Types of market research: primary and secondary

Now that you know the importance of clear research objectives, let’s explore the different types of market research and the techniques available to achieve these goals. Market research methods can be divided into two main categories: primary research and secondary research . The choice between these depends on factors like your budget, time constraints, and whether you need exploratory data or definitive answers.

Primary research involves collecting new data directly from sources. This process is like mining for precious metals, as it requires using various methods to gather fresh insights.

• Surveys (here – in-app survey templates from Userpilot ).

• Interviews.

• Focus groups.
• Product trials.

This approach gives you first-hand insight into your target audience.

Conversely, secondary research uses already established datasets of primary data – which can add depth and reinforcement to your firsthand findings.

Conducting your own market research using primary research tools can be a cost-effective strategy, allowing businesses to gather valuable insights directly and tailor their research to specific needs.

Let’s look a bit deeper into them now.

What is primary market research?

Market research uses primary market research as an essential tool. This involves collecting new data directly from your target audience using various methods, such as surveys , focus groups, and interviews.

Each method has its benefits. For example, observational studies allow you to see how consumers interact with your product.

There are many ways to conduct primary research.

Focus Groups : Hold discussions with small groups of 5 to 10 people from your target audience. These discussions can provide valuable feedback on products, perceptions of your company’s brand name, or opinions on competitors. Additionally, these discussions can help understand the characteristics, challenges, and buying habits of target customers, optimizing brand strategy.

Interviews : Have one-on-one conversations to gather detailed information from individuals in your target audience.

Surveys : These are a common tool in primary market research and can be used instead of focus groups to understand consumer attitudes. Surveys use structured questions and can reach a broad audience efficiently.

Navigating secondary market research

While marketing research using primary methods is like discovering precious metals, secondary market research technique is like using a treasure map. This approach uses data collected by others from various sources, providing a broad industry view. These sources include market analyses from agencies like Statista, historical data such as census records, and academic studies.

Secondary research provides the basic knowledge necessary for conducting primary market research goals but may lack detail on specific business questions and could also be accessible to competitors.

To make the most of secondary market research, it’s important to analyze summarized data to identify trends, rely on reputable sources for accurate data, and remain unbiased in data collection methods.

The effectiveness of secondary research depends significantly on how well the data is interpreted, ensuring that this information complements the insights from primary research.

Qualitative vs quantitative research

Market research employs both qualitative and quantitative methods, offering distinct insights that complement each other. Qualitative research aims to understand consumer behaviors and motivations through detailed analysis, while quantitative research collects measurable data for statistical analysis.

The selection of qualitative or quantitative methods should align with your research goals. If you need to uncover initial insights or explore deep consumer motivations, qualitative techniques like surveys or interviews are ideal.

On the other hand, if you need data that can be measured and analyzed for reliability, quantitative methods are more suitable.

However, these approaches don’t have to be used separately. Combining qualitative and quantitative methods in mixed-method studies allows you to capture both detailed exploratory responses and concrete numerical data. This integration offers a comprehensive view of the market, leveraging the strengths of both approaches to provide a fuller understanding of market conditions.

Implementing market research tools: Userpilot’s role

Similar to how a compass is essential for navigation at sea, businesses need appropriate instruments to carry out effective market research. Userpilot’s suite of product analytics and in-app engagement tools are critical components for this purpose.

Acting as a Buyer Persona Research instrument, Userpilot’s product analytics provide key quantitative research capabilities. This helps clearly define and comprehend the attributes and behaviors of potential customers, providing you with insights into your ICP (Ideal Customer Persona), user preferences, and product-market fit.

Beyond product analytics, Userpilot offers robust in-app engagement features such as modals and surveys that support real time collection of market research information. These interactive features work synergistically with the analytical tools to enable companies to gather detailed data and feedback crucial for informed business decision-making.

Marketing research process: Step-by-step guide

Marketing research conists of several critical stages:

• Defining precise goals.
• Delving into the knowledge of your target demographic.
• Collecting and scrutinizing data.
• Revealing insights that can be translated into tangible actions.

Following these steps allows you to gather critical information that guides business decisions.

An effective research strategy is crucial and involves:

• Properly allocating funds.
• Formulating testable hypotheses.
• Choosing appropriate methods for the study.
• Determining the number of study participants.
• Considering external variables.

A well-planned strategy ensures that your market research is focused, efficient, and produces useful outcomes.

After collecting data, the next step is to analyze it. This involves comparing the data to your initial questions to draw conclusions relevant to your business strategies.

Userpilot makes your data analysis easier by providing handy analytics dashboards for key user metrics such as activation, engagement, core feature adoption, and retention out of the box:

Finally, you report the findings and the process, providing recommendations based on the evidence. This is like solving a puzzle: each piece helps to complete the overall picture.

Challenges and best practices in market research

Delving into market research comes with its own set of hurdles. Those conducting the research must deliver more profound insights within increasingly shorter timespans, and they need to cultivate strategic, continuous research methods to stay abreast of an ever-changing business landscape.

Ensuring high-quality data can be demanding due to issues such as disjointed tools or insufficient analytical expertise. New solutions like Userpilot are surfacing that make these obstacles less daunting by offering accessible and user-friendly options. Maintaining clear lines of communication with your market research team is crucial for achieving both punctuality and quality in outcomes.

The advantages of engaging in marketing research cannot be overstated.

Real-life examples of successful market research

Real-life examples of market research in the SaaS industry often showcase innovative approaches to understanding customer needs and product-market fit.

For instance, Slack, the communication platform, utilized extensive market research to identify gaps in communication tools and understand the workflows of teams. This led to the development of features that seamlessly integrated with other tools and catered to the needs of various team sizes and structures.

Another example is HubSpot, which conducted market research to understand the pain points of small to medium-sized businesses in managing customer relationships. The insights gained helped shape their all-in-one inbound marketing, sales, and service platform, which has become integral to their users’ daily operations. These examples demonstrate how SaaS companies can employ market research to inform product development, improve user experience, and strategically position themselves in a competitive market.

Choosing the right market research tools

For B2B SaaS product managers aiming to do market research, having the right set of tools can make a significant difference. Here’s a list of valuable SaaS tools that can be leveraged for effective market research:

• Userpilot : A comprehensive Product Growth Platform offering in-depth product analytics, a code-free in-app experience builder, bespoke in-app survey capabilities, and robust integration options with platforms like Salesforce and Hubspot. This tool is particularly useful for understanding user behavior, enhancing user engagement, and gathering targeted feedback.
• Qualtrics : Known for its powerful survey tools, Qualtrics helps businesses gather and analyze customer feedback effectively. Its advanced analytics features are ideal for testing market hypotheses and understanding customer sentiments.
• SurveyMonkey : A versatile tool that enables product managers to create, send, and analyze surveys quickly and easily. SurveyMonkey is suitable for gauging customer satisfaction and collecting feedback on potential new features.
• Mixpanel : Specializes in user behavior analytics, offering detailed insights into how users interact with your product. This is essential for identifying patterns and optimizing product features.
• Hotjar : Combines analytics and feedback tools to give teams insights into user behavior and preferences. Hotjar’s heatmaps and session recordings are invaluable for understanding the user experience on a deeper level.
• Tableau : A leading platform for business intelligence and data visualization, Tableau allows product managers to create comprehensive visual reports that can inform strategic decisions based on user data analysis.

Each of these tools provides unique functionalities that can assist SaaS product managers in conducting thorough market research, thereby ensuring that their products are perfectly aligned with user needs and market demands.

Measuring the impact of market research

The pivotal challenge for market research lies in demonstrating its return on investment (ROI) and overall influence on corporate success sufficiently enough to justify regular financial commitment from company leaders. The worth attributed to a market research firm hinges not only on their ability to deliver relevant and high-caliber information, but also on their pricing structures and their contribution towards propelling organizational growth.

To gauge how effectively business choices made based on market research findings succeed, various metrics and key performance indicators (KPIs) are utilized. These numerical tools act as navigational aids directing enterprises toward achieving objectives while simultaneously verifying that efforts invested in conducting market analysis are yielding fruitful guidance.

Throughout our look at market research, we’ve seen its importance and impact. Our discussion covered the basics of market research, its key components, and different types, including both qualitative and quantitative methods, and the role of Userpilot’s tools. We’ve examined the details of the market research process, tackled challenges, identified best practices, and shared success stories. We also provided advice on choosing the right market research partner and how to measure the effectiveness of your market research.

In today’s data-driven world, comprehensive market research is crucial for companies that want to succeed. It acts like a guide, helping businesses navigate the complex market landscape. Start your own detailed research today, supported by insightful analytics to help you succeed.

Frequently asked questions

What is market research and why is it important.

Understanding your target market, honing business strategies, and making informed decisions are all essential components that depend heavily on effective market research. It offers objective insights to help avoid expensive errors and foresees the needs of customers .

What is the difference between primary and secondary market research?

Primary market research is characterized by the direct gathering of data, in contrast to secondary market research which leverages existing information from alternative sources for addressing research inquiries.

Such a distinction can guide you in selecting an approach that aligns with your precise needs for conducting specific research.

What are some examples of successful market research?

Examples of successful market research are evident in the operations of well-known companies such as Starbucks, Apple, and McDonald’s. They have harnessed this tool to fine-tune their business strategies and make decisions based on solid information.

By employing market research, these businesses have managed to gain insight into their customers’ desires and needs, which has contributed significantly to their success.

How can I choose the right market research partner?

Selecting an ideal market research ally involves identifying a firm that resonates with your project requirements, financial plan, and corporate goals while also verifying their track record of dependability and consistency via reviews from previous clients.

Best wishes on your endeavor!

How is the impact of market research measured?

The effectiveness of market research hinges on the precision, representativeness, and pertinence of its data, along with how successful business decisions are when they’re based on the findings from this research. These elements define the impact of the research conducted.

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A Skin Test Could Detect Parkinson’s and Related Diseases

New research indicates that a skin biopsy could possibly lead to accurate diagnosis of Parkinson’s and other neurodegenerative diseases.

Currently, there is no single test to diagnose Parkinson’s disease (PD). Doctors rely on symptoms , which can mean a delay in diagnosis as early symptoms can be hard to distinguish from other common ailments. A new study in the Journal of the American Medical Association ( JAMA ) shows that a skin biopsy test can reliably detect Parkinson’s and other related diseases.

Parkinson’s, along with dementia with Lewy bodies (DLB), multiple system atrophy (MSA), and pure autonomic failure (PAF) are four diseases characterized by progressive neurodegeneration and disability. Together this group of diseases are called synucleinopathies because the nerve cells accumulate an abnormal version of the protein alpha-synuclein, which is also referred to as phosphorylated alpha-synuclein (P-SYN).

Previous research indicated that P-SYN could also be found in nerve cells present in the skin. The new JAMA study shows that small amounts of skin taken from the leg, thigh and back of the neck can be analyzed to detect P-SYN in people who have synucleinopathies.

A similar study published last year detected alpha-synuclein in a slightly different test referred to as a seed amplification assay (SAA) analysis . In that study, investigators collected spinal fluid from people with early Parkinson’s. A skin biopsy is considerably less invasive than a lumbar puncture (also known as a spinal tap), which is why this study has generated a lot of interest.

About the Study & Results

The study enrolled 428 participants; 277 were diagnosed with Parkinson’s or another synucleinopathy (DLB, MSA or PAF), along with 151 people who had no history of neurodegenerative disease. Each participant had three skin biopsies that were analyzed in the laboratory.

Of those confirmed to have a synucleinopathy, the biopsies tested positive for P-SYN 92.7% of the time with Parkinson’s, 98.2% with MSA, 96% with DLB, and 100% with PAF. For people who did not have a diagnosis, only 3.3% of the biopsies tested positive for P-SYN.

The researchers also found a correlation between the amount of P-SYN in the biopsies and the severity of the participants’ symptoms.

Biopsy detection of P-SYN was the lowest among those with Parkinson’s (at the rate of 92.7% positive), potentially because there are different subtypes of Parkinson’s or because some genetic causes of Parkinson’s , there may be less P-SYN accumulation. However, study results did not address genetic variations associated with the diagnosis of PD.

However, it’s possible that skin biopsies could detect many cases of Parkinson’s before hallmark symptoms appear — such as tremor and trouble walking . Researchers suspect that P-SYN begins to accumulate in the nerve cells before there are noticeable changes to a person's movement. More research will be needed to confirm this suspicion.

The authors of the study speculated that the 3.3% of the biopsies that tested positive for P-SYN among those who did not have a neurodegenerative disease diagnosis, may indicate the potential for a future synucleinopathy diagnosis. However, longer-term follow-up is needed for confirmation.

More research is needed to determine when P-SYN can be detected in the progression of these diseases, and in those who don’t have symptoms, whether P-SYN detection is always predictive of future disease.

• The study looked for a skin biopsy marker of Parkinson’s and other related neurodegenerative diseases, called phosphorylated alpha-synuclein (P-SYN).
• Among those confirmed to have Parkinson’s, 92.7% of the skin biopsies tested positive for P-SYN.
• Among those who did not have a neurodegenerative diagnosis, only 3.3% of the skin biopsies were positive for P-SYN.
• The amount of P-SYN in the biopsies correlated with the severity of the participants’ symptoms.

What does this mean?

This skin test method could be used to detect Parkinson’s and related diseases before symptoms appear . By identifying the disease before symptoms manifest there is a possibility of developing treatments before the condition progresses. With a reliable way to identify these diseases at their earliest stages, researchers could more effectively evaluate potential treatments and hopefully bring them to people living with PD sooner.

Additionally, because the researchers found a correlation between the amount of P-SYN in the biopsies and the severity of symptoms, the test might be used to test whether potential treatments are working. For example, if a drug treatment reduces P-SYN, it could indicate that the treatment is having an effect.

More research is needed before a skin biopsy would be considered useful for someone who does not have symptoms, as we don’t yet know how early the test could detect whether they will likely have Parkinson’s or other related diseases. We also do not know if some people could have P-SYN in their skin, but never develop symptoms.

What do these findings mean to the people with PD right now?

The skin biopsy test is commercially available  today. It is called the Syn-One Test® and doctors may use it to confirm a synucleinopathy, which may lead to a Parkinson’s diagnosis. A doctor assesses test results alongside other in-office tests and present symptoms to confirm a Parkinson’s diagnosis. If you are already diagnosed with Parkinson’s disease and respond to levodopa treatment, the skin biopsy will likely not add anything to your current management and would not be necessary.

According to the Syn-One Test® manufacturer , Medicare typically covers 80% of the total fee. Insurance may cover all or some of the test fee.

When diagnosing possible Parkinsonism, instead of the Syn-One Test, a doctor may order a DaT scan. Similarly, a DaT scan does not differentiate between the various forms of parkinsonism. Usually if a doctor orders a test to help confirm a Parkinson’s diagnosis, the test is either the skin biopsy test or a DaT scan — not both.

Talk to your Parkinson’s doctor about the Syn-One Test®. If you have already been diagnosed with Parkinson’s and you are responding to therapy, your doctor will most likely not recommend the test. If you are in the process of being diagnosed or confirming a diagnosis, a neurologist or a neurologist with specialty training in movement disorders if available in your region, may consider this test to confirm a diagnosis of a synucleinopathy. Remember that this test is relatively new, so not all Parkinson’s doctors are utilizing it.

The Parkinson’s Foundation believes in empowering the Parkinson’s community through education. Learn more about PD and the topics in this article through our below resources, or by calling our free Helpline at 1-800-4PD-INFO (1-800-473-4636) for answers to your Parkinson’s questions.

• Getting Diagnosed

Neuro Talk: Why Are More People Getting Diagnosed with Parkinson’s?

• Detecting Early Parkinson’s with a Wearable Movement-Tracking Device

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Majority of Americans over 50 worry they won't have enough money for retirement: Study

Among aarp survey findings: 61% of americans 50 and up are worried they won’t have enough money for retirement. and only 21 percent of people have a retirement plan..

An increasing number of people are worried that they won’t have enough money to live comfortably in retirement, and men aren’t as financially secure as they once were, according to an annual survey from AARP.

The AARP Financial Security Trends Survey , conducted in January and released in April, included interviews with more than 8,300 Americans over 30 across every state in the country. Conducted by NORC at the University of Chicago , the survey aims to analyze the financial experiences and attitudes among Americans.

One of the survey’s biggest findings is that 61% of those 50 and up are worried they won’t have enough money for retirement, Indira Venkat, senior vice president of research at AARP, told USA TODAY on Wednesday.

And if you break those numbers down even more, one in five of people who have not retired have no savings at all, Venkat said.

“Among retirement savers who are 50 and over, there's a growing number compared to last year that don't expect that they will save sufficiently if they continue at the current rate that they save,” she said. 

Those numbers “should be a wake-up call for all of us,” she said.

Adults are worried about having enough for retirement. What does this mean?

Venkat said the reason some people may be worried about saving for retirement is because they don’t have access to retirement plans through their jobs.

“Today, almost half of those who are in the private sector workforce, and that's 57 million workers, don't have the option to save for retirement through their work,” she said. 

People who have access to retirement plans are more likely to save, she said.

Another reason for retirement woes is inflation. Calling it a “bread and butter” and “kitchen table” issue, she said many people are struggling to afford basic necessities and gas. 

In fact, over 70% of all respondents expressed concern about prices rising at a faster rate than their income. 

Many people also have month-to-month balances on credit cards, she said. According to the researchers, the average amount of credit card debt carried from month to month increased from $7,538 in January 2023 to $8,169 in January 2024.

Gender and financial planning

AARP noted findings among men specifically.

Among men who are regularly saving for retirement, 28% are saving 10% or more of their income. In January 2022, more men – 35% – were saving 10% or more.

Other findings include:

• 40% of men are worried about basic expenses (up from 33% in January 2022)
• 42% of all men age 30 and up describe their financial situation as “only fair” or “poor” (up from 34% in January 2022)
• 43% of men carry a credit card balance (up from 38% in January 2022)
• 62% of men have emergency savings today (down from 69% in January 2022)

“We are seeing that men today are a little bit more worried than they were in prior years about their financial security and situation,” Venkat said. “Forty-two percent of men, if they're asked to describe their financial situation, say it's terrible.”

The team also compared responses among men and women, finding that:

• 62% of men are more likely to have an emergency savings vs. 58% of women
• 42% of men are less likely to be worried about managing debt vs. 47% of women
• 61% of men with debt are more likely to view their debt as manageable vs. 52% of women

Limitations of the survey

Venkat said the survey was “very robust” and was done using probability samples, but one limitation is that it was conducted in English and Spanish only. 

“To the extent there are other dominant spoken languages in the home, those individuals are not represented in this study,” she said. “And then, of course, the standard margin of error with any survey applies to this.”

Financial planning among survey respondents

There were some surprising findings surrounding financial planning, Venkat said.

Among older adults who are not yet retired, 94% said it is important for them to have a plan to manage their money during retirement. Among them, just 21% of them have a plan for how to manage their money in retirement, she said.

She said AARP has resources to help people plan, including tools like a Social Security calculator, an AARP retirement calculator, a required minimum distribution calculator and a 401(k) calculator .

The concerns respondents expressed while completing the survey further prove the importance of having a plan for retirement, AARP says.

“Plans need to address not only how to build savings during working years," the company writes, "but also how to spend money in retirement in a way that will allow it to last."

Saleen Martin is a reporter on USA TODAY's NOW team. She is from Norfolk, Virginia – the 757. Follow her on Twitter at @SaleenMartin or email her at [email protected] .

Closing the loop relieves anxiety and builds trust | Studer

Anxiety is a real emotion, and one that receives lots of attention. Why? Because it can be a very serious issue that impacts a person’s well-being. But anxiety isn’t just connected to issues in our personal life. It also manifests in the professional realm. The form of anxiety we’ll explore today is the anxiety that can happen when we don’t “close the loop” to assure others that action has been taken.

If the person you report to has to inquire whether the action you were to take has been done, it is a sign that you need to improve your communication. There may be times (very few of them) when closing the loop may not be necessary. In some cases, a person may have proven to be so consistent in follow-up that their supervisor knows they are a “consider it done” person.

My experience is that closing the loop does not come naturally for many people. They may assume you as their leader know it will be done. Also, you may feel having to close the loop is a form of micromanagement. Yet those who get micromanaged often need to be precisely because of the lack of closing the loop.

Let’s look at some examples of not closing the loop. The first is a healthcare example. Almost every week, I am fortunate to get to be with those providing care to others and those who provide services to the caregivers. While in a hospital, I was with the president/CEO. The family member of a patient came up to us. Someone had mentioned to this person that the president/CEO was in the area. He shared that his fiancée was in great pain after surgery, and nothing was being done. So the president/CEO followed up. It turned out that the caregiver was aware of the situation, had called the surgeon, and was in the process of changing the pain medication. All the right actions were being taken. So why was the patient’s fiancé upset? He was not aware. The caregiver had not communicated what was taking place.

Last week's column: Coworkers may hold the key to new employee retention | Studer

I know how busy caregivers are. At times, such communication may not be possible. However, updating the patient and family on the conversation that had taken place would have created a calmer fiancé, a greater sense of trust, and a better outcome.

Often while taking action, one can assume people know what is taking place. For instance, you send a note to a person who reports to you asking them to contact someone. While you assume the contact will be made, it is much better if the employee replies that they contacted the person and shares any pertinent information. It may even be something simple like, “I left a message.” Any information can reduce anxiety. It lets others know this is a person I can trust.

In looking at issues that come up, we often find that they’re due to poor handoffs. By handoff, I mean the action was passed on to another person. When that person lets you know that they received the handoff, it helps to close the loop. Also, if the person needs to take additional action, it helps when they let you know that the action was taken. This is now more important than ever as organizations seek to protect information via cybersecurity. I have heard people say they sent an email to someone and have not heard back. My suggestion is to try reaching them in a different way, like a phone call. It is not unusual to learn that the email or other information is in a spam folder. This is another example of closing the loop.

A few tips on closing the loop:

• If your leader asks you to do something, after you do it, let them know it has been done.

• When you receive an email, it is a good idea to let the sender know you received it and will follow up with appropriate action.

• Ask people to tell you and other relevant parties what is taking place. In the example above, while the healthcare professional was taking all the correct actions to follow up regarding the patient’s pain, it would have been better to communicate that with the patient and her family.

• Don’t assume others know what is taking place. Be proactive in closing the loop in communication.

Closing the loop is one of those small actions that makes a big positive impact. Most people have good intentions. They want to keep their promises and do the right thing. Following up to let others know they have done so is the final piece of the puzzle. It alleviates anxiety and creates strong, trusting relationships. Make it a habit and encourage others to do so as well.

If you are interested in purchasing books or having Quint Studer speak in-person or virtually, please contact [email protected].

Quint is the coauthor (with Katherine A. Meese, PhD) of The Human Margin: Building the Foundations of Trust, a leadership resource that combines the latest workplace research findings with tactics proven to help people and organizations flourish. His book Rewiring Excellence: Hardwired to Rewired provides doable tools and techniques that help employees and physicians find joy in their work and enhance patients’ and families’ healthcare experiences. His book The Calling: Why Healthcare Is So Special helps healthcare professionals keep their sense of passion and purpose high. In Sundays with Quint, he shares a selection of his popular leadership columns for leaders, employees, and business owners in all industries.

Quint is the cofounder of Healthcare Plus Solutions Group®, a consulting firm that specializes in delivering customized solutions to diagnose and treat healthcare organizations’ most urgent pain points.

For more information on Quint, visit www.HealthcarePlusSG.com.