How to Write Limitations of the Study (with examples)
This blog emphasizes the importance of recognizing and effectively writing about limitations in research. It discusses the types of limitations, their significance, and provides guidelines for writing about them, highlighting their role in advancing scholarly research.
Updated on August 24, 2023
No matter how well thought out, every research endeavor encounters challenges. There is simply no way to predict all possible variances throughout the process.
These uncharted boundaries and abrupt constraints are known as limitations in research . Identifying and acknowledging limitations is crucial for conducting rigorous studies. Limitations provide context and shed light on gaps in the prevailing inquiry and literature.
This article explores the importance of recognizing limitations and discusses how to write them effectively. By interpreting limitations in research and considering prevalent examples, we aim to reframe the perception from shameful mistakes to respectable revelations.
What are limitations in research?
In the clearest terms, research limitations are the practical or theoretical shortcomings of a study that are often outside of the researcher’s control . While these weaknesses limit the generalizability of a study’s conclusions, they also present a foundation for future research.
Sometimes limitations arise from tangible circumstances like time and funding constraints, or equipment and participant availability. Other times the rationale is more obscure and buried within the research design. Common types of limitations and their ramifications include:
- Theoretical: limits the scope, depth, or applicability of a study.
- Methodological: limits the quality, quantity, or diversity of the data.
- Empirical: limits the representativeness, validity, or reliability of the data.
- Analytical: limits the accuracy, completeness, or significance of the findings.
- Ethical: limits the access, consent, or confidentiality of the data.
Regardless of how, when, or why they arise, limitations are a natural part of the research process and should never be ignored . Like all other aspects, they are vital in their own purpose.
Why is identifying limitations important?
Whether to seek acceptance or avoid struggle, humans often instinctively hide flaws and mistakes. Merging this thought process into research by attempting to hide limitations, however, is a bad idea. It has the potential to negate the validity of outcomes and damage the reputation of scholars.
By identifying and addressing limitations throughout a project, researchers strengthen their arguments and curtail the chance of peer censure based on overlooked mistakes. Pointing out these flaws shows an understanding of variable limits and a scrupulous research process.
Showing awareness of and taking responsibility for a project’s boundaries and challenges validates the integrity and transparency of a researcher. It further demonstrates the researchers understand the applicable literature and have thoroughly evaluated their chosen research methods.
Presenting limitations also benefits the readers by providing context for research findings. It guides them to interpret the project’s conclusions only within the scope of very specific conditions. By allowing for an appropriate generalization of the findings that is accurately confined by research boundaries and is not too broad, limitations boost a study’s credibility .
Limitations are true assets to the research process. They highlight opportunities for future research. When researchers identify the limitations of their particular approach to a study question, they enable precise transferability and improve chances for reproducibility.
Simply stating a project’s limitations is not adequate for spurring further research, though. To spark the interest of other researchers, these acknowledgements must come with thorough explanations regarding how the limitations affected the current study and how they can potentially be overcome with amended methods.
How to write limitations
Typically, the information about a study’s limitations is situated either at the beginning of the discussion section to provide context for readers or at the conclusion of the discussion section to acknowledge the need for further research. However, it varies depending upon the target journal or publication guidelines.
Don’t hide your limitations
It is also important to not bury a limitation in the body of the paper unless it has a unique connection to a topic in that section. If so, it needs to be reiterated with the other limitations or at the conclusion of the discussion section. Wherever it is included in the manuscript, ensure that the limitations section is prominently positioned and clearly introduced.
While maintaining transparency by disclosing limitations means taking a comprehensive approach, it is not necessary to discuss everything that could have potentially gone wrong during the research study. If there is no commitment to investigation in the introduction, it is unnecessary to consider the issue a limitation to the research. Wholly consider the term ‘limitations’ and ask, “Did it significantly change or limit the possible outcomes?” Then, qualify the occurrence as either a limitation to include in the current manuscript or as an idea to note for other projects.
Writing limitations
Once the limitations are concretely identified and it is decided where they will be included in the paper, researchers are ready for the writing task. Including only what is pertinent, keeping explanations detailed but concise, and employing the following guidelines is key for crafting valuable limitations:
1) Identify and describe the limitations : Clearly introduce the limitation by classifying its form and specifying its origin. For example:
- An unintentional bias encountered during data collection
- An intentional use of unplanned post-hoc data analysis
2) Explain the implications : Describe how the limitation potentially influences the study’s findings and how the validity and generalizability are subsequently impacted. Provide examples and evidence to support claims of the limitations’ effects without making excuses or exaggerating their impact. Overall, be transparent and objective in presenting the limitations, without undermining the significance of the research.
3) Provide alternative approaches for future studies : Offer specific suggestions for potential improvements or avenues for further investigation. Demonstrate a proactive approach by encouraging future research that addresses the identified gaps and, therefore, expands the knowledge base.
Whether presenting limitations as an individual section within the manuscript or as a subtopic in the discussion area, authors should use clear headings and straightforward language to facilitate readability. There is no need to complicate limitations with jargon, computations, or complex datasets.
Examples of common limitations
Limitations are generally grouped into two categories , methodology and research process .
Methodology limitations
Methodology may include limitations due to:
- Sample size
- Lack of available or reliable data
- Lack of prior research studies on the topic
- Measure used to collect the data
- Self-reported data
The researcher is addressing how the large sample size requires a reassessment of the measures used to collect and analyze the data.
Research process limitations
Limitations during the research process may arise from:
- Access to information
- Longitudinal effects
- Cultural and other biases
- Language fluency
- Time constraints
The author is pointing out that the model’s estimates are based on potentially biased observational studies.
Final thoughts
Successfully proving theories and touting great achievements are only two very narrow goals of scholarly research. The true passion and greatest efforts of researchers comes more in the form of confronting assumptions and exploring the obscure.
In many ways, recognizing and sharing the limitations of a research study both allows for and encourages this type of discovery that continuously pushes research forward. By using limitations to provide a transparent account of the project's boundaries and to contextualize the findings, researchers pave the way for even more robust and impactful research in the future.
Charla Viera, MS
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21 Research Limitations Examples
Chris Drew (PhD)
Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]
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Research limitations refer to the potential weaknesses inherent in a study. All studies have limitations of some sort, meaning declaring limitations doesn’t necessarily need to be a bad thing, so long as your declaration of limitations is well thought-out and explained.
Rarely is a study perfect. Researchers have to make trade-offs when developing their studies, which are often based upon practical considerations such as time and monetary constraints, weighing the breadth of participants against the depth of insight, and choosing one methodology or another.
In research, studies can have limitations such as limited scope, researcher subjectivity, and lack of available research tools.
Acknowledging the limitations of your study should be seen as a strength. It demonstrates your willingness for transparency, humility, and submission to the scientific method and can bolster the integrity of the study. It can also inform future research direction.
Typically, scholars will explore the limitations of their study in either their methodology section, their conclusion section, or both.
Research Limitations Examples
Qualitative and quantitative research offer different perspectives and methods in exploring phenomena, each with its own strengths and limitations. So, I’ve split the limitations examples sections into qualitative and quantitative below.
Qualitative Research Limitations
Qualitative research seeks to understand phenomena in-depth and in context. It focuses on the ‘why’ and ‘how’ questions.
It’s often used to explore new or complex issues, and it provides rich, detailed insights into participants’ experiences, behaviors, and attitudes. However, these strengths also create certain limitations, as explained below.
1. Subjectivity
Qualitative research often requires the researcher to interpret subjective data. One researcher may examine a text and identify different themes or concepts as more dominant than others.
Close qualitative readings of texts are necessarily subjective – and while this may be a limitation, qualitative researchers argue this is the best way to deeply understand everything in context.
Suggested Solution and Response: To minimize subjectivity bias, you could consider cross-checking your own readings of themes and data against other scholars’ readings and interpretations. This may involve giving the raw data to a supervisor or colleague and asking them to code the data separately, then coming together to compare and contrast results.
2. Researcher Bias
The concept of researcher bias is related to, but slightly different from, subjectivity.
Researcher bias refers to the perspectives and opinions you bring with you when doing your research.
For example, a researcher who is explicitly of a certain philosophical or political persuasion may bring that persuasion to bear when interpreting data.
In many scholarly traditions, we will attempt to minimize researcher bias through the utilization of clear procedures that are set out in advance or through the use of statistical analysis tools.
However, in other traditions, such as in postmodern feminist research , declaration of bias is expected, and acknowledgment of bias is seen as a positive because, in those traditions, it is believed that bias cannot be eliminated from research, so instead, it is a matter of integrity to present it upfront.
Suggested Solution and Response: Acknowledge the potential for researcher bias and, depending on your theoretical framework , accept this, or identify procedures you have taken to seek a closer approximation to objectivity in your coding and analysis.
3. Generalizability
If you’re struggling to find a limitation to discuss in your own qualitative research study, then this one is for you: all qualitative research, of all persuasions and perspectives, cannot be generalized.
This is a core feature that sets qualitative data and quantitative data apart.
The point of qualitative data is to select case studies and similarly small corpora and dig deep through in-depth analysis and thick description of data.
Often, this will also mean that you have a non-randomized sample size.
While this is a positive – you’re going to get some really deep, contextualized, interesting insights – it also means that the findings may not be generalizable to a larger population that may not be representative of the small group of people in your study.
Suggested Solution and Response: Suggest future studies that take a quantitative approach to the question.
4. The Hawthorne Effect
The Hawthorne effect refers to the phenomenon where research participants change their ‘observed behavior’ when they’re aware that they are being observed.
This effect was first identified by Elton Mayo who conducted studies of the effects of various factors ton workers’ productivity. He noticed that no matter what he did – turning up the lights, turning down the lights, etc. – there was an increase in worker outputs compared to prior to the study taking place.
Mayo realized that the mere act of observing the workers made them work harder – his observation was what was changing behavior.
So, if you’re looking for a potential limitation to name for your observational research study , highlight the possible impact of the Hawthorne effect (and how you could reduce your footprint or visibility in order to decrease its likelihood).
Suggested Solution and Response: Highlight ways you have attempted to reduce your footprint while in the field, and guarantee anonymity to your research participants.
5. Replicability
Quantitative research has a great benefit in that the studies are replicable – a researcher can get a similar sample size, duplicate the variables, and re-test a study. But you can’t do that in qualitative research.
Qualitative research relies heavily on context – a specific case study or specific variables that make a certain instance worthy of analysis. As a result, it’s often difficult to re-enter the same setting with the same variables and repeat the study.
Furthermore, the individual researcher’s interpretation is more influential in qualitative research, meaning even if a new researcher enters an environment and makes observations, their observations may be different because subjectivity comes into play much more. This doesn’t make the research bad necessarily (great insights can be made in qualitative research), but it certainly does demonstrate a weakness of qualitative research.
6. Limited Scope
“Limited scope” is perhaps one of the most common limitations listed by researchers – and while this is often a catch-all way of saying, “well, I’m not studying that in this study”, it’s also a valid point.
No study can explore everything related to a topic. At some point, we have to make decisions about what’s included in the study and what is excluded from the study.
So, you could say that a limitation of your study is that it doesn’t look at an extra variable or concept that’s certainly worthy of study but will have to be explored in your next project because this project has a clearly and narrowly defined goal.
Suggested Solution and Response: Be clear about what’s in and out of the study when writing your research question.
7. Time Constraints
This is also a catch-all claim you can make about your research project: that you would have included more people in the study, looked at more variables, and so on. But you’ve got to submit this thing by the end of next semester! You’ve got time constraints.
And time constraints are a recognized reality in all research.
But this means you’ll need to explain how time has limited your decisions. As with “limited scope”, this may mean that you had to study a smaller group of subjects, limit the amount of time you spent in the field, and so forth.
Suggested Solution and Response: Suggest future studies that will build on your current work, possibly as a PhD project.
8. Resource Intensiveness
Qualitative research can be expensive due to the cost of transcription, the involvement of trained researchers, and potential travel for interviews or observations.
So, resource intensiveness is similar to the time constraints concept. If you don’t have the funds, you have to make decisions about which tools to use, which statistical software to employ, and how many research assistants you can dedicate to the study.
Suggested Solution and Response: Suggest future studies that will gain more funding on the back of this ‘ exploratory study ‘.
9. Coding Difficulties
Data analysis in qualitative research often involves coding, which can be subjective and complex, especially when dealing with ambiguous or contradicting data.
After naming this as a limitation in your research, it’s important to explain how you’ve attempted to address this. Some ways to ‘limit the limitation’ include:
- Triangulation: Have 2 other researchers code the data as well and cross-check your results with theirs to identify outliers that may need to be re-examined, debated with the other researchers, or removed altogether.
- Procedure: Use a clear coding procedure to demonstrate reliability in your coding process. I personally use the thematic network analysis method outlined in this academic article by Attride-Stirling (2001).
Suggested Solution and Response: Triangulate your coding findings with colleagues, and follow a thematic network analysis procedure.
10. Risk of Non-Responsiveness
There is always a risk in research that research participants will be unwilling or uncomfortable sharing their genuine thoughts and feelings in the study.
This is particularly true when you’re conducting research on sensitive topics, politicized topics, or topics where the participant is expressing vulnerability .
This is similar to the Hawthorne effect (aka participant bias), where participants change their behaviors in your presence; but it goes a step further, where participants actively hide their true thoughts and feelings from you.
Suggested Solution and Response: One way to manage this is to try to include a wider group of people with the expectation that there will be non-responsiveness from some participants.
11. Risk of Attrition
Attrition refers to the process of losing research participants throughout the study.
This occurs most commonly in longitudinal studies , where a researcher must return to conduct their analysis over spaced periods of time, often over a period of years.
Things happen to people over time – they move overseas, their life experiences change, they get sick, change their minds, and even die. The more time that passes, the greater the risk of attrition.
Suggested Solution and Response: One way to manage this is to try to include a wider group of people with the expectation that there will be attrition over time.
12. Difficulty in Maintaining Confidentiality and Anonymity
Given the detailed nature of qualitative data , ensuring participant anonymity can be challenging.
If you have a sensitive topic in a specific case study, even anonymizing research participants sometimes isn’t enough. People might be able to induce who you’re talking about.
Sometimes, this will mean you have to exclude some interesting data that you collected from your final report. Confidentiality and anonymity come before your findings in research ethics – and this is a necessary limiting factor.
Suggested Solution and Response: Highlight the efforts you have taken to anonymize data, and accept that confidentiality and accountability place extremely important constraints on academic research.
13. Difficulty in Finding Research Participants
A study that looks at a very specific phenomenon or even a specific set of cases within a phenomenon means that the pool of potential research participants can be very low.
Compile on top of this the fact that many people you approach may choose not to participate, and you could end up with a very small corpus of subjects to explore. This may limit your ability to make complete findings, even in a quantitative sense.
You may need to therefore limit your research question and objectives to something more realistic.
Suggested Solution and Response: Highlight that this is going to limit the study’s generalizability significantly.
14. Ethical Limitations
Ethical limitations refer to the things you cannot do based on ethical concerns identified either by yourself or your institution’s ethics review board.
This might include threats to the physical or psychological well-being of your research subjects, the potential of releasing data that could harm a person’s reputation, and so on.
Furthermore, even if your study follows all expected standards of ethics, you still, as an ethical researcher, need to allow a research participant to pull out at any point in time, after which you cannot use their data, which demonstrates an overlap between ethical constraints and participant attrition.
Suggested Solution and Response: Highlight that these ethical limitations are inevitable but important to sustain the integrity of the research.
For more on Qualitative Research, Explore my Qualitative Research Guide
Quantitative Research Limitations
Quantitative research focuses on quantifiable data and statistical, mathematical, or computational techniques. It’s often used to test hypotheses, assess relationships and causality, and generalize findings across larger populations.
Quantitative research is widely respected for its ability to provide reliable, measurable, and generalizable data (if done well!). Its structured methodology has strengths over qualitative research, such as the fact it allows for replication of the study, which underpins the validity of the research.
However, this approach is not without it limitations, explained below.
1. Over-Simplification
Quantitative research is powerful because it allows you to measure and analyze data in a systematic and standardized way. However, one of its limitations is that it can sometimes simplify complex phenomena or situations.
In other words, it might miss the subtleties or nuances of the research subject.
For example, if you’re studying why people choose a particular diet, a quantitative study might identify factors like age, income, or health status. But it might miss other aspects, such as cultural influences or personal beliefs, that can also significantly impact dietary choices.
When writing about this limitation, you can say that your quantitative approach, while providing precise measurements and comparisons, may not capture the full complexity of your subjects of study.
Suggested Solution and Response: Suggest a follow-up case study using the same research participants in order to gain additional context and depth.
2. Lack of Context
Another potential issue with quantitative research is that it often focuses on numbers and statistics at the expense of context or qualitative information.
Let’s say you’re studying the effect of classroom size on student performance. You might find that students in smaller classes generally perform better. However, this doesn’t take into account other variables, like teaching style , student motivation, or family support.
When describing this limitation, you might say, “Although our research provides important insights into the relationship between class size and student performance, it does not incorporate the impact of other potentially influential variables. Future research could benefit from a mixed-methods approach that combines quantitative analysis with qualitative insights.”
3. Applicability to Real-World Settings
Oftentimes, experimental research takes place in controlled environments to limit the influence of outside factors.
This control is great for isolation and understanding the specific phenomenon but can limit the applicability or “external validity” of the research to real-world settings.
For example, if you conduct a lab experiment to see how sleep deprivation impacts cognitive performance, the sterile, controlled lab environment might not reflect real-world conditions where people are dealing with multiple stressors.
Therefore, when explaining the limitations of your quantitative study in your methodology section, you could state:
“While our findings provide valuable information about [topic], the controlled conditions of the experiment may not accurately represent real-world scenarios where extraneous variables will exist. As such, the direct applicability of our results to broader contexts may be limited.”
Suggested Solution and Response: Suggest future studies that will engage in real-world observational research, such as ethnographic research.
4. Limited Flexibility
Once a quantitative study is underway, it can be challenging to make changes to it. This is because, unlike in grounded research, you’re putting in place your study in advance, and you can’t make changes part-way through.
Your study design, data collection methods, and analysis techniques need to be decided upon before you start collecting data.
For example, if you are conducting a survey on the impact of social media on teenage mental health, and halfway through, you realize that you should have included a question about their screen time, it’s generally too late to add it.
When discussing this limitation, you could write something like, “The structured nature of our quantitative approach allows for consistent data collection and analysis but also limits our flexibility to adapt and modify the research process in response to emerging insights and ideas.”
Suggested Solution and Response: Suggest future studies that will use mixed-methods or qualitative research methods to gain additional depth of insight.
5. Risk of Survey Error
Surveys are a common tool in quantitative research, but they carry risks of error.
There can be measurement errors (if a question is misunderstood), coverage errors (if some groups aren’t adequately represented), non-response errors (if certain people don’t respond), and sampling errors (if your sample isn’t representative of the population).
For instance, if you’re surveying college students about their study habits , but only daytime students respond because you conduct the survey during the day, your results will be skewed.
In discussing this limitation, you might say, “Despite our best efforts to develop a comprehensive survey, there remains a risk of survey error, including measurement, coverage, non-response, and sampling errors. These could potentially impact the reliability and generalizability of our findings.”
Suggested Solution and Response: Suggest future studies that will use other survey tools to compare and contrast results.
6. Limited Ability to Probe Answers
With quantitative research, you typically can’t ask follow-up questions or delve deeper into participants’ responses like you could in a qualitative interview.
For instance, imagine you are surveying 500 students about study habits in a questionnaire. A respondent might indicate that they study for two hours each night. You might want to follow up by asking them to elaborate on what those study sessions involve or how effective they feel their habits are.
However, quantitative research generally disallows this in the way a qualitative semi-structured interview could.
When discussing this limitation, you might write, “Given the structured nature of our survey, our ability to probe deeper into individual responses is limited. This means we may not fully understand the context or reasoning behind the responses, potentially limiting the depth of our findings.”
Suggested Solution and Response: Suggest future studies that engage in mixed-method or qualitative methodologies to address the issue from another angle.
7. Reliance on Instruments for Data Collection
In quantitative research, the collection of data heavily relies on instruments like questionnaires, surveys, or machines.
The limitation here is that the data you get is only as good as the instrument you’re using. If the instrument isn’t designed or calibrated well, your data can be flawed.
For instance, if you’re using a questionnaire to study customer satisfaction and the questions are vague, confusing, or biased, the responses may not accurately reflect the customers’ true feelings.
When discussing this limitation, you could say, “Our study depends on the use of questionnaires for data collection. Although we have put significant effort into designing and testing the instrument, it’s possible that inaccuracies or misunderstandings could potentially affect the validity of the data collected.”
Suggested Solution and Response: Suggest future studies that will use different instruments but examine the same variables to triangulate results.
8. Time and Resource Constraints (Specific to Quantitative Research)
Quantitative research can be time-consuming and resource-intensive, especially when dealing with large samples.
It often involves systematic sampling, rigorous design, and sometimes complex statistical analysis.
If resources and time are limited, it can restrict the scale of your research, the techniques you can employ, or the extent of your data analysis.
For example, you may want to conduct a nationwide survey on public opinion about a certain policy. However, due to limited resources, you might only be able to survey people in one city.
When writing about this limitation, you could say, “Given the scope of our research and the resources available, we are limited to conducting our survey within one city, which may not fully represent the nationwide public opinion. Hence, the generalizability of the results may be limited.”
Suggested Solution and Response: Suggest future studies that will have more funding or longer timeframes.
How to Discuss Your Research Limitations
1. in your research proposal and methodology section.
In the research proposal, which will become the methodology section of your dissertation, I would recommend taking the four following steps, in order:
- Be Explicit about your Scope – If you limit the scope of your study in your research question, aims, and objectives, then you can set yourself up well later in the methodology to say that certain questions are “outside the scope of the study.” For example, you may identify the fact that the study doesn’t address a certain variable, but you can follow up by stating that the research question is specifically focused on the variable that you are examining, so this limitation would need to be looked at in future studies.
- Acknowledge the Limitation – Acknowledging the limitations of your study demonstrates reflexivity and humility and can make your research more reliable and valid. It also pre-empts questions the people grading your paper may have, so instead of them down-grading you for your limitations; they will congratulate you on explaining the limitations and how you have addressed them!
- Explain your Decisions – You may have chosen your approach (despite its limitations) for a very specific reason. This might be because your approach remains, on balance, the best one to answer your research question. Or, it might be because of time and monetary constraints that are outside of your control.
- Highlight the Strengths of your Approach – Conclude your limitations section by strongly demonstrating that, despite limitations, you’ve worked hard to minimize the effects of the limitations and that you have chosen your specific approach and methodology because it’s also got some terrific strengths. Name the strengths.
Overall, you’ll want to acknowledge your own limitations but also explain that the limitations don’t detract from the value of your study as it stands.
2. In the Conclusion Section or Chapter
In the conclusion of your study, it is generally expected that you return to a discussion of the study’s limitations. Here, I recommend the following steps:
- Acknowledge issues faced – After completing your study, you will be increasingly aware of issues you may have faced that, if you re-did the study, you may have addressed earlier in order to avoid those issues. Acknowledge these issues as limitations, and frame them as recommendations for subsequent studies.
- Suggest further research – Scholarly research aims to fill gaps in the current literature and knowledge. Having established your expertise through your study, suggest lines of inquiry for future researchers. You could state that your study had certain limitations, and “future studies” can address those limitations.
- Suggest a mixed methods approach – Qualitative and quantitative research each have pros and cons. So, note those ‘cons’ of your approach, then say the next study should approach the topic using the opposite methodology or could approach it using a mixed-methods approach that could achieve the benefits of quantitative studies with the nuanced insights of associated qualitative insights as part of an in-study case-study.
Overall, be clear about both your limitations and how those limitations can inform future studies.
In sum, each type of research method has its own strengths and limitations. Qualitative research excels in exploring depth, context, and complexity, while quantitative research excels in examining breadth, generalizability, and quantifiable measures. Despite their individual limitations, each method contributes unique and valuable insights, and researchers often use them together to provide a more comprehensive understanding of the phenomenon being studied.
Attride-Stirling, J. (2001). Thematic networks: an analytic tool for qualitative research. Qualitative research , 1 (3), 385-405. ( Source )
Atkinson, P., Delamont, S., Cernat, A., Sakshaug, J., & Williams, R. A. (2021). SAGE research methods foundations . London: Sage Publications.
Clark, T., Foster, L., Bryman, A., & Sloan, L. (2021). Bryman’s social research methods . Oxford: Oxford University Press.
Köhler, T., Smith, A., & Bhakoo, V. (2022). Templates in qualitative research methods: Origins, limitations, and new directions. Organizational Research Methods , 25 (2), 183-210. ( Source )
Lenger, A. (2019). The rejection of qualitative research methods in economics. Journal of Economic Issues , 53 (4), 946-965. ( Source )
Taherdoost, H. (2022). What are different research approaches? Comprehensive review of qualitative, quantitative, and mixed method research, their applications, types, and limitations. Journal of Management Science & Engineering Research , 5 (1), 53-63. ( Source )
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Home » Limitations in Research – Types, Examples and Writing Guide
Limitations in Research – Types, Examples and Writing Guide
Table of Contents
Limitations in research refer to potential weaknesses, constraints, or shortcomings that may affect the validity, reliability, or generalizability of a study’s findings. Identifying and acknowledging these limitations is an essential part of the research process, as it demonstrates transparency and allows readers to assess the study’s credibility.
This article explores the types of research limitations, provides examples, and offers a guide to effectively write about them in your research paper or thesis.
Limitations in Research
Limitations are factors that restrict the scope, methodology, or interpretation of research findings. They arise due to constraints such as time, resources, design choices, or external influences beyond the researcher’s control. While limitations do not necessarily invalidate a study, they highlight areas for improvement or further investigation.
Key Features:
- Acknowledged Weaknesses: Reflect the challenges faced during the research process.
- Context-Specific: Vary depending on the research design, methodology, or field of study.
- Enhance Credibility: By addressing limitations, researchers demonstrate critical thinking and transparency.
Example: Limited sample size in a survey study may reduce the generalizability of the results to a broader population.
Types of Limitations in Research
1. methodological limitations.
- Description: Constraints related to the research methods used.
- Use of a non-random sampling technique.
- Reliance on self-reported data, which can introduce bias.
- Impact: Affects the accuracy or reliability of the data collected.
2. Sample Size and Composition
- Description: Issues with the number or characteristics of participants in the study.
- Small sample sizes reduce statistical power.
- Sampling bias occurs when the sample is not representative of the population.
- Impact: Limits the generalizability of the findings.
3. Time Constraints
- Description: Insufficient time to conduct research thoroughly.
- Limited duration of an experiment.
- Inability to collect longitudinal data due to time restrictions.
- Impact: Affects the depth of the analysis and the ability to explore trends over time.
4. Resource Limitations
- Description: Constraints on financial, technological, or human resources.
- Inability to afford advanced equipment for data collection.
- Insufficient access to databases or archival materials.
- Impact: Limits the scope of data collection and analysis.
5. External Influences
- Description: Factors beyond the researcher’s control that impact the study.
- Changes in political or economic conditions during the study.
- Unexpected interruptions, such as natural disasters or pandemics.
- Impact: May introduce variability or disrupt data collection.
6. Ethical Limitations
- Description: Restrictions due to ethical considerations and guidelines.
- Inability to experiment on certain populations due to ethical constraints.
- Limited access to sensitive or confidential data.
- Impact: Restricts the scope and design of the study.
7. Theoretical Limitations
- Description: Constraints related to the theoretical framework or assumptions used.
- Dependence on outdated theories.
- A narrow focus on a specific aspect of a complex phenomenon.
- Impact: Limits the applicability of findings to broader contexts.
Examples of Research Limitations
Example 1: survey study.
- Research Topic: Effects of social media on mental health.
- Limitation: The study used a convenience sampling method, leading to a sample dominated by young adults, limiting its applicability to older populations.
Example 2: Experimental Research
- Research Topic: Testing a new drug for diabetes management.
- Limitation: The study was conducted over a short period, making it difficult to assess long-term effects.
Example 3: Qualitative Research
- Research Topic: Examining workplace culture in multinational corporations.
- Limitation: Data was collected from only three organizations, which may not represent all industries or geographic regions.
Example 4: Historical Analysis
- Research Topic: The economic impacts of the Great Depression.
- Limitation: The study relied on archival data, and some documents were inaccessible due to preservation issues.
Writing Guide: How to Address Limitations in Research
1. acknowledge limitations transparently.
- Be honest about the weaknesses of your study.
- Avoid attempting to hide or downplay limitations, as this may reduce credibility.
- Example: “One limitation of this study is the small sample size, which limits the generalizability of the findings.”
2. Provide Context for the Limitations
- Explain why the limitations occurred and whether they were unavoidable.
- Example: “The time constraints of a semester-long project restricted the ability to conduct a longitudinal study.”
3. Discuss the Impact of the Limitations
- Highlight how the limitations might affect the interpretation of the results.
- Example: “The use of self-reported data may introduce bias, as participants could have exaggerated their responses.”
4. Suggest Strategies to Mitigate Limitations
- Propose ways future research can address these issues.
- Example: “Future studies could use a randomized sampling method to enhance representativeness.”
5. Balance Limitations with Strengths
- Emphasize the overall validity of your study despite its limitations.
- Example: “Although the sample size is small, the findings provide valuable preliminary insights into this understudied topic.”
Best Practices for Writing Limitations
- Be Specific: Clearly state which aspects of your study were limited.
- Use Professional Tone: Discuss limitations objectively without undermining your work.
- Avoid Overgeneralization: Do not claim that your findings are entirely invalid due to limitations.
- Relate to Objectives: Tie limitations to your research aims to show their relevance.
- Incorporate Suggestions: Include recommendations for how future research can overcome the identified constraints.
Common Mistakes to Avoid
- Ignoring Limitations: Failing to address limitations can appear dishonest or careless.
- Overemphasizing Weaknesses: Excessive focus on limitations may overshadow the study’s contributions.
- Being Defensive: Avoid justifying limitations with excuses; instead, explain them objectively.
- Generalizing Findings: Be cautious about making broad claims when limitations restrict generalizability.
Limitations are an integral part of any research study, as no research is entirely free from constraints. By acknowledging and addressing limitations transparently, researchers enhance the credibility and reliability of their work. Understanding the types, providing context, and offering strategies to overcome limitations ensure that these weaknesses become opportunities for further investigation rather than flaws in the research process.
- Creswell, J. W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . Sage Publications.
- Babbie, E. R. (2020). The Practice of Social Research . Cengage Learning.
- Trochim, W. M. K. (2021). The Research Methods Knowledge Base . Atomic Dog Publishing.
- Kumar, R. (2019). Research Methodology: A Step-by-Step Guide for Beginners . Sage Publications.
- Bryman, A. (2015). Social Research Methods . Oxford University Press.
About the author
Muhammad Hassan
Researcher, Academic Writer, Web developer
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Limitations of the Study – How to Write & Examples
What are the limitations of a study?
Study limitations essentially detail any flaws or shortcomings in the methodology or study design that may affect the interpretation of your research results. Study limitations can exist due to constraints on research design, methodology, materials, etc., and these factors may impact the findings of your study. However, researchers are often reluctant to discuss the limitations of their study in their papers, feeling that bringing up limitations may undermine its research value in the eyes of readers and reviewers.
In spite of the impact it might have (and perhaps because of it) you should clearly acknowledge any limitations in your research paper in order to show readers—whether journal editors, other researchers, or the general public—that you are aware of these limitations and to explain how they affect the conclusions that can be drawn from the research.
In this article, we provide some guidelines for writing about research limitations, show examples of some frequently seen study limitations, and recommend techniques for presenting this information. And after you have finished drafting and have received manuscript editing for your work, you still might want to follow this up with academic editing before submitting your work to your target journal.
Why do I need to include limitations of research in my paper?
Although limitations address the potential weaknesses of a study, writing about them toward the end of your paper actually strengthens your study by identifying any problems before other researchers or reviewers find them.
Furthermore, pointing out study limitations shows that you’ve considered the impact of research weakness thoroughly and have an in-depth understanding of your research topic. Since all studies face limitations, being honest and detailing these limitations will impress researchers and reviewers more than ignoring them.
Where should I put the limitations of the study in my paper?
Some limitations might be evident to researchers before the start of the study, while others might become clear while you are conducting the research. Whether these limitations are anticipated or not, and whether they are due to research design or to methodology, they should be clearly identified and discussed in the discussion section —the final section of your paper. Most journals now require you to include a discussion of potential limitations of your work, and many journals now ask you to place this “limitations section” at the very end of your article.
Some journals ask you to also discuss the strengths of your work in this section, and some allow you to freely choose where to include that information in your discussion section—make sure to always check the author instructions of your target journal before you finalize a manuscript and submit it for peer review .
Limitations of the Study Examples
There are several reasons why limitations of research might exist. The two main categories of limitations are those that result from the methodology and those that result from issues with the researcher(s).
Common Methodological Limitations of Studies
Limitations of research due to methodological problems can be addressed by clearly and directly identifying the potential problem and suggesting ways in which this could have been addressed—and SHOULD be addressed in future studies. The following are some major potential methodological issues that can impact the conclusions researchers can draw from the research.
1. Issues with research samples and selection
Sampling errors occur when a probability sampling method is used to select a sample, but that sample does not reflect the general population or appropriate population concerned. This results in limitations of your study known as “sample bias” or “selection bias.”
For example, if you conducted a survey to obtain your research results, your samples (participants) were asked to respond to the survey questions. However, you might have had limited ability to gain access to the appropriate type or geographic scope of participants. In this case, the people who responded to your survey questions may not truly be a random sample.
2. Insufficient sample size for statistical measurements
When conducting a study, it is important to have a sufficient sample size in order to draw valid conclusions. The larger the sample, the more precise your results will be. If your sample size is too small, it will be difficult to identify significant relationships in the data.
Normally, statistical tests require a larger sample size to ensure that the sample is considered representative of a population and that the statistical result can be generalized to a larger population. It is a good idea to understand how to choose an appropriate sample size before you conduct your research by using scientific calculation tools—in fact, many journals now require such estimation to be included in every manuscript that is sent out for review.
3. Lack of previous research studies on the topic
Citing and referencing prior research studies constitutes the basis of the literature review for your thesis or study, and these prior studies provide the theoretical foundations for the research question you are investigating. However, depending on the scope of your research topic, prior research studies that are relevant to your thesis might be limited.
When there is very little or no prior research on a specific topic, you may need to develop an entirely new research typology. In this case, discovering a limitation can be considered an important opportunity to identify literature gaps and to present the need for further development in the area of study.
4. Methods/instruments/techniques used to collect the data
After you complete your analysis of the research findings (in the discussion section), you might realize that the manner in which you have collected the data or the ways in which you have measured variables has limited your ability to conduct a thorough analysis of the results.
For example, you might realize that you should have addressed your survey questions from another viable perspective, or that you were not able to include an important question in the survey. In these cases, you should acknowledge the deficiency or deficiencies by stating a need for future researchers to revise their specific methods for collecting data that includes these missing elements.
Common Limitations of the Researcher(s)
Study limitations that arise from situations relating to the researcher or researchers (whether the direct fault of the individuals or not) should also be addressed and dealt with, and remedies to decrease these limitations—both hypothetically in your study, and practically in future studies—should be proposed.
1. Limited access to data
If your research involved surveying certain people or organizations, you might have faced the problem of having limited access to these respondents. Due to this limited access, you might need to redesign or restructure your research in a different way. In this case, explain the reasons for limited access and be sure that your finding is still reliable and valid despite this limitation.
2. Time constraints
Just as students have deadlines to turn in their class papers, academic researchers might also have to meet deadlines for submitting a manuscript to a journal or face other time constraints related to their research (e.g., participants are only available during a certain period; funding runs out; collaborators move to a new institution). The time available to study a research problem and to measure change over time might be constrained by such practical issues. If time constraints negatively impacted your study in any way, acknowledge this impact by mentioning a need for a future study (e.g., a longitudinal study) to answer this research problem.
3. Conflicts arising from cultural bias and other personal issues
Researchers might hold biased views due to their cultural backgrounds or perspectives of certain phenomena, and this can affect a study’s legitimacy. Also, it is possible that researchers will have biases toward data and results that only support their hypotheses or arguments. In order to avoid these problems, the author(s) of a study should examine whether the way the research problem was stated and the data-gathering process was carried out appropriately.
Steps for Organizing Your Study Limitations Section
When you discuss the limitations of your study, don’t simply list and describe your limitations—explain how these limitations have influenced your research findings. There might be multiple limitations in your study, but you only need to point out and explain those that directly relate to and impact how you address your research questions.
We suggest that you divide your limitations section into three steps: (1) identify the study limitations; (2) explain how they impact your study in detail; and (3) propose a direction for future studies and present alternatives. By following this sequence when discussing your study’s limitations, you will be able to clearly demonstrate your study’s weakness without undermining the quality and integrity of your research.
Step 1. Identify the limitation(s) of the study
- This part should comprise around 10%-20% of your discussion of study limitations.
The first step is to identify the particular limitation(s) that affected your study. There are many possible limitations of research that can affect your study, but you don’t need to write a long review of all possible study limitations. A 200-500 word critique is an appropriate length for a research limitations section. In the beginning of this section, identify what limitations your study has faced and how important these limitations are.
You only need to identify limitations that had the greatest potential impact on: (1) the quality of your findings, and (2) your ability to answer your research question.
Step 2. Explain these study limitations in detail
- This part should comprise around 60-70% of your discussion of limitations.
After identifying your research limitations, it’s time to explain the nature of the limitations and how they potentially impacted your study. For example, when you conduct quantitative research, a lack of probability sampling is an important issue that you should mention. On the other hand, when you conduct qualitative research, the inability to generalize the research findings could be an issue that deserves mention.
Explain the role these limitations played on the results and implications of the research and justify the choice you made in using this “limiting” methodology or other action in your research. Also, make sure that these limitations didn’t undermine the quality of your dissertation .
Step 3. Propose a direction for future studies and present alternatives (optional)
- This part should comprise around 10-20% of your discussion of limitations.
After acknowledging the limitations of the research, you need to discuss some possible ways to overcome these limitations in future studies. One way to do this is to present alternative methodologies and ways to avoid issues with, or “fill in the gaps of” the limitations of this study you have presented. Discuss both the pros and cons of these alternatives and clearly explain why researchers should choose these approaches.
Make sure you are current on approaches used by prior studies and the impacts they have had on their findings. Cite review articles or scientific bodies that have recommended these approaches and why. This might be evidence in support of the approach you chose, or it might be the reason you consider your choices to be included as limitations. This process can act as a justification for your approach and a defense of your decision to take it while acknowledging the feasibility of other approaches.
P hrases and Tips for Introducing Your Study Limitations in the Discussion Section
The following phrases are frequently used to introduce the limitations of the study:
- “There may be some possible limitations in this study.”
- “The findings of this study have to be seen in light of some limitations.”
- “The first is the…The second limitation concerns the…”
- “The empirical results reported herein should be considered in the light of some limitations.”
- “This research, however, is subject to several limitations.”
- “The primary limitation to the generalization of these results is…”
- “Nonetheless, these results must be interpreted with caution and a number of limitations should be borne in mind.”
- “As with the majority of studies, the design of the current study is subject to limitations.”
- “There are two major limitations in this study that could be addressed in future research. First, the study focused on …. Second ….”
For more articles on research writing and the journal submissions and publication process, visit Wordvice’s Academic Resources page.
And be sure to receive professional English editing and proofreading services , including paper editing services , for your journal manuscript before submitting it to journal editors.
Wordvice Resources
Proofreading & Editing Guide
Writing the Results Section for a Research Paper
How to Write a Literature Review
Research Writing Tips: How to Draft a Powerful Discussion Section
How to Captivate Journal Readers with a Strong Introduction
Tips That Will Make Your Abstract a Success!
APA In-Text Citation Guide for Research Writing
Additional Resources
- Diving Deeper into Limitations and Delimitations (PhD student)
- Organizing Your Social Sciences Research Paper: Limitations of the Study (USC Library)
- Research Limitations (Research Methodology)
- How to Present Limitations and Alternatives (UMASS)
Article References
Pearson-Stuttard, J., Kypridemos, C., Collins, B., Mozaffarian, D., Huang, Y., Bandosz, P.,…Micha, R. (2018). Estimating the health and economic effects of the proposed US Food and Drug Administration voluntary sodium reformulation: Microsimulation cost-effectiveness analysis. PLOS. https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002551
Xu, W.L, Pedersen, N.L., Keller, L., Kalpouzos, G., Wang, H.X., Graff, C,. Fratiglioni, L. (2015). HHEX_23 AA Genotype Exacerbates Effect of Diabetes on Dementia and Alzheimer Disease: A Population-Based Longitudinal Study. PLOS. Retrieved from https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001853
Stating the Obvious: Writing Assumptions, Limitations, and Delimitations
During the process of writing your thesis or dissertation, you might suddenly realize that your research has inherent flaws. Don’t worry! Virtually all projects contain restrictions to your research. However, being able to recognize and accurately describe these problems is the difference between a true researcher and a grade-school kid with a science-fair project. Concerns with truthful responding, access to participants, and survey instruments are just a few of examples of restrictions on your research. In the following sections, the differences among delimitations, limitations, and assumptions of a dissertation will be clarified.
Delimitations
Delimitations are the definitions you set as the boundaries of your own thesis or dissertation, so delimitations are in your control. Delimitations are set so that your goals do not become impossibly large to complete. Examples of delimitations include objectives, research questions, variables, theoretical objectives that you have adopted, and populations chosen as targets to study. When you are stating your delimitations, clearly inform readers why you chose this course of study. The answer might simply be that you were curious about the topic and/or wanted to improve standards of a professional field by revealing certain findings. In any case, you should clearly list the other options available and the reasons why you did not choose these options immediately after you list your delimitations. You might have avoided these options for reasons of practicality, interest, or relativity to the study at hand. For example, you might have only studied Hispanic mothers because they have the highest rate of obese babies. Delimitations are often strongly related to your theory and research questions. If you were researching whether there are different parenting styles between unmarried Asian, Caucasian, African American, and Hispanic women, then a delimitation of your study would be the inclusion of only participants with those demographics and the exclusion of participants from other demographics such as men, married women, and all other ethnicities of single women (inclusion and exclusion criteria). A further delimitation might be that you only included closed-ended Likert scale responses in the survey, rather than including additional open-ended responses, which might make some people more willing to take and complete your survey. Remember that delimitations are not good or bad. They are simply a detailed description of the scope of interest for your study as it relates to the research design. Don’t forget to describe the philosophical framework you used throughout your study, which also delimits your study.
Limitations
Limitations of a dissertation are potential weaknesses in your study that are mostly out of your control, given limited funding, choice of research design, statistical model constraints, or other factors. In addition, a limitation is a restriction on your study that cannot be reasonably dismissed and can affect your design and results. Do not worry about limitations because limitations affect virtually all research projects, as well as most things in life. Even when you are going to your favorite restaurant, you are limited by the menu choices. If you went to a restaurant that had a menu that you were craving, you might not receive the service, price, or location that makes you enjoy your favorite restaurant. If you studied participants’ responses to a survey, you might be limited in your abilities to gain the exact type or geographic scope of participants you wanted. The people whom you managed to get to take your survey may not truly be a random sample, which is also a limitation. If you used a common test for data findings, your results are limited by the reliability of the test. If your study was limited to a certain amount of time, your results are affected by the operations of society during that time period (e.g., economy, social trends). It is important for you to remember that limitations of a dissertation are often not something that can be solved by the researcher. Also, remember that whatever limits you also limits other researchers, whether they are the largest medical research companies or consumer habits corporations. Certain kinds of limitations are often associated with the analytical approach you take in your research, too. For example, some qualitative methods like heuristics or phenomenology do not lend themselves well to replicability. Also, most of the commonly used quantitative statistical models can only determine correlation, but not causation.
Assumptions
Assumptions are things that are accepted as true, or at least plausible, by researchers and peers who will read your dissertation or thesis. In other words, any scholar reading your paper will assume that certain aspects of your study is true given your population, statistical test, research design, or other delimitations. For example, if you tell your friend that your favorite restaurant is an Italian place, your friend will assume that you don’t go there for the sushi. It’s assumed that you go there to eat Italian food. Because most assumptions are not discussed in-text, assumptions that are discussed in-text are discussed in the context of the limitations of your study, which is typically in the discussion section. This is important, because both assumptions and limitations affect the inferences you can draw from your study. One of the more common assumptions made in survey research is the assumption of honesty and truthful responses. However, for certain sensitive questions this assumption may be more difficult to accept, in which case it would be described as a limitation of the study. For example, asking people to report their criminal behavior in a survey may not be as reliable as asking people to report their eating habits. It is important to remember that your limitations and assumptions should not contradict one another. For instance, if you state that generalizability is a limitation of your study given that your sample was limited to one city in the United States, then you should not claim generalizability to the United States population as an assumption of your study. Statistical models in quantitative research designs are accompanied with assumptions as well, some more strict than others. These assumptions generally refer to the characteristics of the data, such as distributions, correlational trends, and variable type, just to name a few. Violating these assumptions can lead to drastically invalid results, though this often depends on sample size and other considerations.
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Limitations in Research – A Simplified Guide with Examples
Limitations are flaws and shortcomings of your study. It is very important that you discuss the limitations of your study in the discussion section of your research paper. In this blog, we provide tips for presenting study limitations in your paper along with some real-world examples.
1. Should I Report the Limitations of My Work?
Most studies will have some form of limitation. So be honest and don’t hide your limitations. You have to tell your readers how your limitations might influence the outcomes and conclusions of your research. In reality, your readers and reviewers will be impressed with your paper if you are upfront about your limitations.
2. Examples
Let’s look at some examples. We have selected a variety of examples from different research topics.
2.1. Limitations Example 1
Following example is from a Medical research paper.
✔ The authors talk about the limitations and emphasis the importance of reconfirming the findings in a much larger study Study design and small sample size are important limitations. This could have led to an overestimation of the effect. Future research should reconfirm these findings by conducting larger-scale studies. _ Limitation s _ How it might affect the results? _ How to fix the limitation?
The authors are saying that the main limitations of the study are the small sample size and weak study design. Then they explain how this might have affected their results. They are saying that it is possible that they are overestimating the actual effect they are measuring. Then finally they are telling the readers that more studies with larger sample sizes should be conducted to reconfirm the findings.
As you can see, the authors are clearly explaining three things here: (1) What is the limitation? (2) How it might affect the study outcomes? and (3) What should be done to address the limitation?
2.2. Limitations Example 2
Following example is from an Engineering research paper.
✔ The authors are acknowledging the limitations and warning readers against generalizing the research findings However, some study limitations should be acknowledged. The experiments do not fully consider the problems that can appear in real situations. Hence, caution should be taken with generalizing the findings and applying them to real-life situations. _ Acknowledging limitations _ Explaining the limitation _ How it might affect the results?
The authors acknowledge that their study has some limitations. Then they explain what the limitations are. They are saying that their experiments do not consider all problems that might occur in real-life situations. Then they explain how this might affect their research outcomes. They are saying that readers should be careful when generalizing the results to practical real-world situations, because there is a possibility that the methods might fail.
2.3. Limitations Example 3
It is important to remember not to end your paper with limitations. Finish your paper on a positive note by telling your readers about the benefits of your research and possible future directions. In the following example, right after listing the limitations, the authors proceed to talk about the positive aspects of the work.
✔ The authors finish their paper on a positive note by talking about the benefits of their work and possible future work With this limited study, it is not known whether this finding can be applied to all clinical scenarios. Notwithstanding these limitations, this study has proven that Ultrasound can potentially serve as a more efficient alternative to X-rays in diagnosis. Future directions include studying the effects of different ultrasound pulsing schemes on pain relief. Another interesting direction would be to consider applications in nonhuman primates. _ Limitations _ Benefits of the work _ Possible future directions
The authors are saying that their experiments were somewhat limited and are not sure if their findings apply to the wider clinical practice. Then the authors highlight the benefits of their research. The authors say that their study has proven that ultrasound can be used instead of X-rays for diagnosis of certain types of diseases. Then they are explaining how future research can extend this work further. The authors are suggesting that it will be interesting to explore if ultrasound can be used for the treatment of chronic pain. And they are also suggesting that future studies can explore treating certain types of animal diseases with ultrasound. This is a very good example of how to finish the discussion section of your paper on a positive note.
Limitations are a vital component of the discussion section of your research paper. Remember, every study has limitations. There is no such thing as a perfect study. One of the major mistakes beginner writers make is hiding the limitations in the paper. Don’t do this, reviewers will reject your paper. Explain clearly how your limitations might have impacted your results, and provide ideas to mitigate them in the future. For further reading, please refer to our blogs on handling negative results and advanced tactics to address study limitations.
If you have any questions, please drop a comment below, and we will answer as soon as possible. We also recommend you to refer to our other blogs on academic writing tools , academic writing resources , academic writing phrases and research paper examples which are relevant to the topic discussed in this blog.
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Research Limitations 101 📖
By: Derek Jansen (MBA) | Expert Reviewer: Dr. Eunice Rautenbach | May 2024
Overview: Research Limitations 101
- What are research limitations ?
- Access – based limitations
- Temporal & financial limitations
- Sample & sampling limitations
- Design limitations
- Researcher limitations
- Key takeaways
What (exactly) are “research limitations”?
At the simplest level, research limitations (also referred to as “the limitations of the study”) are the constraints and challenges that will invariably influence your ability to conduct your study and draw reliable conclusions .
Research limitations are inevitable. Absolutely no study is perfect and limitations are an inherent part of any research design. These limitations can stem from a variety of sources , including access to data, methodological choices, and the more mundane constraints of budget and time. So, there’s no use trying to escape them – what matters is that you can recognise them.
Acknowledging and understanding these limitations is crucial, not just for the integrity of your research, but also for your development as a scholar. That probably sounds a bit rich, but realistically, having a strong understanding of the limitations of any given study helps you handle the inevitable obstacles professionally and transparently, which in turn builds trust with your audience and academic peers.
Simply put, recognising and discussing the limitations of your study demonstrates that you know what you’re doing , and that you’ve considered the results of your project within the context of these limitations. In other words, discussing the limitations is a sign of credibility and strength – not weakness. Contrary to the common misconception, highlighting your limitations (or rather, your study’s limitations) will earn you (rather than cost you) marks.
So, with that foundation laid, let’s have a look at some of the most common research limitations you’re likely to encounter – and how to go about managing them as effectively as possible.
Need a helping hand?
Limitation #1: Access To Information
One of the first hurdles you might encounter is limited access to necessary information. For example, you may have trouble getting access to specific literature or niche data sets. This situation can manifest due to several reasons, including paywalls, copyright and licensing issues or language barriers.
To minimise situations like these, it’s useful to try to leverage your university’s resource pool to the greatest extent possible. In practical terms, this means engaging with your university’s librarian and/or potentially utilising interlibrary loans to get access to restricted resources. If this sounds foreign to you, have a chat with your librarian 🙃
In emerging fields or highly specific study areas, you might find that there’s very little existing research (i.e., literature) on your topic. This scenario, while challenging, also offers a unique opportunity to contribute significantly to your field , as it indicates that there’s a significant research gap .
All of that said, be sure to conduct an exhaustive search using a variety of keywords and Boolean operators before assuming that there’s a lack of literature. Also, remember to snowball your literature base . In other words, scan the reference lists of the handful of papers that are directly relevant and then scan those references for more sources. You can also consider using tools like Litmaps and Connected Papers (see video below).
Limitation #2: Time & Money
Almost every researcher will face time and budget constraints at some point. Naturally, these limitations can affect the depth and breadth of your research – but they don’t need to be a death sentence.
Effective planning is crucial to managing both the temporal and financial aspects of your study. In practical terms, utilising tools like Gantt charts can help you visualise and plan your research timeline realistically, thereby reducing the risk of any nasty surprises. Always take a conservative stance when it comes to timelines, especially if you’re new to academic research. As a rule of thumb, things will generally take twice as long as you expect – so, prepare for the worst-case scenario.
If budget is a concern, you might want to consider exploring small research grants or adjusting the scope of your study so that it fits within a realistic budget. Trimming back might sound unattractive, but keep in mind that a smaller, well-planned study can often be more impactful than a larger, poorly planned project.
If you find yourself in a position where you’ve already run out of cash, don’t panic. There’s usually a pivot opportunity hidden somewhere within your project. Engage with your research advisor or faculty to explore potential solutions – don’t make any major changes without first consulting your institution.
Limitation #3: Sample Size & Composition
As we’ve discussed before , the size and representativeness of your sample are crucial , especially in quantitative research where the robustness of your conclusions often depends on these factors. All too often though, students run into issues achieving a sufficient sample size and composition.
To ensure adequacy in terms of your sample size, it’s important to plan for potential dropouts by oversampling from the outset . In other words, if you aim for a final sample size of 100 participants, aim to recruit 120-140 to account for unexpected challenges. If you still find yourself short on participants, consider whether you could complement your dataset with secondary data or data from an adjacent sample – for example, participants from another city or country. That said, be sure to engage with your research advisor before making any changes to your approach.
A related issue that you may run into is sample composition. In other words, you may have trouble securing a random sample that’s representative of your population of interest. In cases like this, you might again want to look at ways to complement your dataset with other sources, but if that’s not possible, it’s not the end of the world. As with all limitations, you’ll just need to recognise this limitation in your final write-up and be sure to interpret your results accordingly. In other words, don’t claim generalisability of your results if your sample isn’t random.
Limitation #4: Methodological Limitations
As we alluded earlier, every methodological choice comes with its own set of limitations . For example, you can’t claim causality if you’re using a descriptive or correlational research design. Similarly, as we saw in the previous example, you can’t claim generalisability if you’re using a non-random sampling approach.
Making good methodological choices is all about understanding (and accepting) the inherent trade-offs . In the vast majority of cases, you won’t be able to adopt the “perfect” methodology – and that’s okay. What’s important is that you select a methodology that aligns with your research aims and research questions , as well as the practical constraints at play (e.g., time, money, equipment access, etc.). Just as importantly, you must recognise and articulate the limitations of your chosen methods, and justify why they were the most suitable, given your specific context.
Limitation #5: Researcher (In)experience
A discussion about research limitations would not be complete without mentioning the researcher (that’s you!). Whether we like to admit it or not, researcher inexperience and personal biases can subtly (and sometimes not so subtly) influence the interpretation and presentation of data within a study. This is especially true when it comes to dissertations and theses , as these are most commonly undertaken by first-time (or relatively fresh) researchers.
When it comes to dealing with this specific limitation, it’s important to remember the adage “ We don’t know what we don’t know ”. In other words, recognise and embrace your (relative) ignorance and subjectivity – and interpret your study’s results within that context . Simply put, don’t be overly confident in drawing conclusions from your study – especially when they contradict existing literature.
Cultivating a culture of reflexivity within your research practices can help reduce subjectivity and keep you a bit more “rooted” in the data. In practical terms, this simply means making an effort to become aware of how your perspectives and experiences may have shaped the research process and outcomes.
As with any new endeavour in life, it’s useful to garner as many outsider perspectives as possible. Of course, your university-assigned research advisor will play a large role in this respect, but it’s also a good idea to seek out feedback and critique from other academics. To this end, you might consider approaching other faculty at your institution, joining an online group, or even working with a private coach .
Key Takeaways
Understanding and effectively navigating research limitations is key to conducting credible and reliable academic work. By acknowledging and addressing these limitations upfront, you not only enhance the integrity of your research, but also demonstrate your academic maturity and professionalism.
Whether you’re working on a dissertation, thesis or any other type of formal academic research, remember the five most common research limitations and interpret your data while keeping them in mind.
- Access to Information (literature and data)
- Time and money
- Sample size and composition
- Research design and methodology
- Researcher (in)experience and bias
If you need a hand identifying and mitigating the limitations within your study, check out our 1:1 private coaching service .
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How to write the ‘limitations or shortcomings of the study’ in a research paper?
‘Limitations or shortcomings of the study’ is the last stage of a thesis. After the study is completed, as a researcher, you may have identified shortcomings. Enlisting those areas in the thesis serves many purposes.
Identifying limitations or shortcomings in a study means that you have carefully considered their potential impact on your findings. So, when readers frame an opinion about your study, they know the conditions under which your findings are valid. Secondly, it establishes the credibility of your research. No study is complete without its set of limitations. Therefore identifying these limitations formally acknowledges that your research was carried out ethically. Finally, it establishes the validity of the research.
Researcher versus methodology
Researcher’s limitation occurs due to the researcher’s shortcomings. This may include sampling errors such as using a cluster random sampling instead of simple random sampling. Another type of it is the inability of the researcher to cover a wide range of respondents from a large geographical location. Another researcher based shortcoming is while conducting research that has poor literature support. The research may lack direction of the study, which leads to poor methodology implementation. On the other hand methodology, related limitations include poor methods of data collection.
For example, including fewer questions or irrelevant questions in the survey or interview questionnaire to collect data. In addition, methodological limitations also involve using wrong or irrelevant data analysis methods to present the findings or address the aim of the study. In this case, the limitation is an inadequate questionnaire for data collection to address the aim of the study.
Impact and data related shortcomings
Impact related shortcomings are those where the research suffers from poor impact by the causal factors that do not show a variation of the findings. This mainly occurs when you use manipulated data or have poorly planned the methodology. As a result, the findings may seem to be a too obvious or small positive or negative change in a variable quantity or function. On the other hand, data limitations are almost the same as methodological limitations mentioned in the previous type. Poor data collection methods and lack of large sample size for survey make for poor data.
Pre-research and post-research shortcomings
Pre-research shortcomings are the ones that you are aware of or expect during the conduction of the study. Usually, pre-research shortcomings are presented in the proposal or synopsis of the main research. However, there are no solutions to these problems. On the other hand, post-research limitations are the ones that are identified after the study was conducted. For instance, biased findings or contradictory findings comes under post-research limitations. This may also occur while conducting triangulation, and the findings of quantitative and qualitative do not match the secondary literature findings.
Steps to follow
There are many ways to write this section, but the three-step formula is popular.
Step 1: Announcement
In this step clearly mention the shortcomings that were faced in the study. List out all the shortcomings faced starting from methods to the statistical findings, such as bias in sampling, lack of respondent participation, etc. This section of the limitation should be only 10% of the total content.
Step 2: Reflection
In this step, justify and elaborate on the limitations. Justify why the limitations occurred. This should have the maximum content, of about 60%.
For instance, the biases of the responses may have occurred from poor knowledge of the participants or the participants were not aware of the importance of the study. Another possibility of biases of the responses is that they did not want to display the negative aspects and responded positively for the sake of the study. In addition, research limitation may also be possible as the study chose only one case for the collection of data.
Step 3: Look forward
This mainly comprises of the future scope of the study. Suggest what should be done in the future by researchers looking to conduct similar studies. This section should comprise the remaining 30% of the total content.
For instance, since, the study found the limitation of response biases; it is suggested that future researchers must choose more than one organization for distribution and collection of the survey or interview. In addition, a pilot study can be conducted well before the collection of final data.
What not to write?
- Do not apologize for writing the limitations of the study or never apologize for the occurrence of the limitations. Without it, the research is never complete, and the study will never move in the right direction.
- Avoid referring to personal limitations such as poor data collection due to lack of time. Do not mention points that will show negative impression your due diligence in the research. Avoid statements that will lead to the lack of your credibility. This may include statements such as ‘since the study was on secondary data gathered, many missing variables were discovered. Since the variables are important and cannot be ignored; there was a manipulation of the missing data’.
- Never mention shortcomings that have already been mentioned in the previous studies. Research is initiated by identifying the limitations of past research published in the same field. Do not use sentences like, ‘we found similar limitations as were mentioned by ABD, (2018) in the study ‘how to write limitations’? Or ‘the current study tried to avoid the limitations as mentioned in ABD, (2018), but the same still occurred.’
- Do not over-write or paraphrase just for the sake of filling up words. Never repeat the same points over and over again. For instance, once spoken of the sample size limitations, do not write that, ‘the study also saw the limitation of less number of people turning up for the survey questionnaire fill-ins.’
Sample of ‘limitations of the study’
The following is a classic example of how to write the limitations in a thesis.
The main aim of the study was to assess the factors that lead to poor limitations writing in a research paper by research scholars. Although the study conducted a thorough survey, there were certain limitations while exploring the aim of the study. It is expected that these points will help future researchers to avoid facing the same shortcomings.
- While conducting the pilot study it was expected that the number of participants will be a minimum of 200. However, after the final data collection and compilation of data, there were only 129 participants for the study. This might be from the fact that the participants were not interested in participating or did not have the time to completely fill in the questionnaire. Since the sample populations were mainly research scholars from a tertiary institute, maybe they did not have enough time to fill in the questionnaires. Therefore, in future studies that use research scholars as a sample population but consider providing questionnaires or collect data from a much larger group or choose more than one institutions for the collection of data.
- It was found from the study that, the current findings contradict the findings of previous studies on factors that lead to poor limitations writing in a research paper by research scholars. This may be from the fact that the studies conducted previously were based on European countries and America. Therefore, the perspective of the research scholars may have varied. Again, the methods of research differ from one place to another and the challenges faced by researchers also differ. This may have led to the limitation of contradictory findings. Therefore, it is suggested that the researchers must consider the factors found from different regions and assess them or make a comparative study to find the factors and how they differ.
Concluding note
Limitations of the study is a very important part of the research. It helps future studies and researches to focus on more innovative ways to conduct research and ignore the issues faced. Be honest, pragmatic and structured while writing this section. Go through ample examples from different authors before writing your own. I suggest you using pointers to specifically write or inform the limitations as indicated in the limitation example. Be specific about the limitations and try not to make up to the limitations.
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Limitations of the study are those characteristics of design or methodology that impacted or influenced the interpretation of the findings from your research. Study limitations are the constraints placed on the ability to generalize from the results, to further describe applications to practice, and/or related to the utility of findings that are the result of the ways in which you initially chose to design the study or the method used to establish internal and external validity or the result of unanticipated challenges that emerged during the study.
Price, James H. and Judy Murnan. “Research Limitations and the Necessity of Reporting Them.” American Journal of Health Education 35 (2004): 66-67; Theofanidis, Dimitrios and Antigoni Fountouki. "Limitations and Delimitations in the Research Process." Perioperative Nursing 7 (September-December 2018): 155-163. .
Importance of...
Always acknowledge a study's limitations. It is far better that you identify and acknowledge your study’s limitations than to have them pointed out by your professor and have your grade lowered because you appeared to have ignored them or didn't realize they existed.
Keep in mind that acknowledgment of a study's limitations is an opportunity to make suggestions for further research. If you do connect your study's limitations to suggestions for further research, be sure to explain the ways in which these unanswered questions may become more focused because of your study.
Acknowledgment of a study's limitations also provides you with opportunities to demonstrate that you have thought critically about the research problem, understood the relevant literature published about it, and correctly assessed the methods chosen for studying the problem. A key objective of the research process is not only discovering new knowledge, but it is also to confront assumptions and explore what we don't know.
Claiming limitations is a subjective process because you must evaluate the impact of those limitations . Don't just list key weaknesses and the magnitude of a study's limitations. To do so diminishes the validity of your research because it leaves the reader wondering whether, or in what ways, limitation(s) in your study may have impacted the results and conclusions. Limitations require a critical, overall appraisal and interpretation of their impact. You should answer the question: do these problems with errors, methods, validity, etc. eventually matter and, if so, to what extent?
Price, James H. and Judy Murnan. “Research Limitations and the Necessity of Reporting Them.” American Journal of Health Education 35 (2004): 66-67; Structure: How to Structure the Research Limitations Section of Your Dissertation. Dissertations and Theses: An Online Textbook. Laerd.com.
Descriptions of Possible Limitations
All studies have limitations . However, it is important that you restrict your discussion to limitations related to the research problem under investigation. For example, if a meta-analysis of existing literature is not a stated purpose of your research, it should not be discussed as a limitation. Do not apologize for not addressing issues that you did not promise to investigate in the introduction of your paper.
Here are examples of limitations related to methodology and the research process you may need to describe and discuss how they possibly impacted your results. Note that descriptions of limitations should be stated in the past tense because they were discovered after you completed your research.
Possible Methodological Limitations
- Sample size -- the number of the units of analysis you use in your study is dictated by the type of research problem you are investigating. Note that, if your sample size is too small, it will be difficult to find significant relationships from the data, as statistical tests normally require a larger sample size to ensure a representative distribution of the population and to be considered representative of groups of people to whom results will be generalized or transferred. Note that sample size is generally less relevant in qualitative research if explained in the context of the research problem.
- Lack of available and/or reliable data -- a lack of data or of reliable data will likely require you to limit the scope of your analysis, the size of your sample, or it can be a significant obstacle in finding a trend and a meaningful relationship. You need to not only describe these limitations but provide cogent reasons why you believe data is missing or is unreliable. However, don’t just throw up your hands in frustration; use this as an opportunity to describe a need for future research based on designing a different method for gathering data.
- Lack of prior research studies on the topic -- citing prior research studies forms the basis of your literature review and helps lay a foundation for understanding the research problem you are investigating. Depending on the currency or scope of your research topic, there may be little, if any, prior research on your topic. Before assuming this to be true, though, consult with a librarian! In cases when a librarian has confirmed that there is little or no prior research, you may be required to develop an entirely new research typology [for example, using an exploratory rather than an explanatory research design ]. Note again that discovering a limitation can serve as an important opportunity to identify new gaps in the literature and to describe the need for further research.
- Measure used to collect the data -- sometimes it is the case that, after completing your interpretation of the findings, you discover that the way in which you gathered data inhibited your ability to conduct a thorough analysis of the results. For example, you regret not including a specific question in a survey that, in retrospect, could have helped address a particular issue that emerged later in the study. Acknowledge the deficiency by stating a need for future researchers to revise the specific method for gathering data.
- Self-reported data -- whether you are relying on pre-existing data or you are conducting a qualitative research study and gathering the data yourself, self-reported data is limited by the fact that it rarely can be independently verified. In other words, you have to the accuracy of what people say, whether in interviews, focus groups, or on questionnaires, at face value. However, self-reported data can contain several potential sources of bias that you should be alert to and note as limitations. These biases become apparent if they are incongruent with data from other sources. These are: (1) selective memory [remembering or not remembering experiences or events that occurred at some point in the past]; (2) telescoping [recalling events that occurred at one time as if they occurred at another time]; (3) attribution [the act of attributing positive events and outcomes to one's own agency, but attributing negative events and outcomes to external forces]; and, (4) exaggeration [the act of representing outcomes or embellishing events as more significant than is actually suggested from other data].
Possible Limitations of the Researcher
- Access -- if your study depends on having access to people, organizations, data, or documents and, for whatever reason, access is denied or limited in some way, the reasons for this needs to be described. Also, include an explanation why being denied or limited access did not prevent you from following through on your study.
- Longitudinal effects -- unlike your professor, who can literally devote years [even a lifetime] to studying a single topic, the time available to investigate a research problem and to measure change or stability over time is constrained by the due date of your assignment. Be sure to choose a research problem that does not require an excessive amount of time to complete the literature review, apply the methodology, and gather and interpret the results. If you're unsure whether you can complete your research within the confines of the assignment's due date, talk to your professor.
- Cultural and other type of bias -- we all have biases, whether we are conscience of them or not. Bias is when a person, place, event, or thing is viewed or shown in a consistently inaccurate way. Bias is usually negative, though one can have a positive bias as well, especially if that bias reflects your reliance on research that only support your hypothesis. When proof-reading your paper, be especially critical in reviewing how you have stated a problem, selected the data to be studied, what may have been omitted, the manner in which you have ordered events, people, or places, how you have chosen to represent a person, place, or thing, to name a phenomenon, or to use possible words with a positive or negative connotation. NOTE : If you detect bias in prior research, it must be acknowledged and you should explain what measures were taken to avoid perpetuating that bias. For example, if a previous study only used boys to examine how music education supports effective math skills, describe how your research expands the study to include girls.
- Fluency in a language -- if your research focuses , for example, on measuring the perceived value of after-school tutoring among Mexican-American ESL [English as a Second Language] students and you are not fluent in Spanish, you are limited in being able to read and interpret Spanish language research studies on the topic or to speak with these students in their primary language. This limitation should be acknowledged.
Aguinis, Hermam and Jeffrey R. Edwards. “Methodological Wishes for the Next Decade and How to Make Wishes Come True.” Journal of Management Studies 51 (January 2014): 143-174; Brutus, Stéphane et al. "Self-Reported Limitations and Future Directions in Scholarly Reports: Analysis and Recommendations." Journal of Management 39 (January 2013): 48-75; Senunyeme, Emmanuel K. Business Research Methods. Powerpoint Presentation. Regent University of Science and Technology; ter Riet, Gerben et al. “All That Glitters Isn't Gold: A Survey on Acknowledgment of Limitations in Biomedical Studies.” PLOS One 8 (November 2013): 1-6; Tanner, Ralph E. S. Chance and Probability: The Limitations of the Social Sciences . New Delhi: Concept Publishing Company, 2011.
Structure and Writing Style
Information about the limitations of your study are generally placed either at the beginning of the discussion section of your paper so the reader knows and understands them before reading the rest of your analysis of the findings, or, the limitations are outlined at the conclusion of the discussion section as an acknowledgement of the need for further study. Statements about a study's limitations should not be buried in the body [middle] of the discussion section unless a limitation is specific to something covered in that part of the paper. If this is the case, though, the limitation should be reiterated at the conclusion of the section.
If you determine that your study is flawed due to important limitations , such as, an inability to acquire critical data, consider reframing it as an exploratory study intended to lay the groundwork for a more complete study in the future. Be sure, though, to specifically explain the ways that these flaws can be successfully overcome in a new study.
But, do not use limitations as an excuse for not develo a thorough research paper! Review the tab in this guide for developing a research topic . If serious, known limitations exist, it generally indicates a likelihood that your research problem is too narrowly defined or that the issue or event under study is too recent and, thus, very little research has been written about it. If serious unanticipated limitations do emerge, consult with your professor about possible ways to overcome them or how to revise your study.
When discussing the limitations of your research, be sure to:
- Describe each limitation in detailed but concise terms;
- Explain why each limitation exists;
- Provide the reasons why each limitation could not be overcome using the method(s) chosen to acquire or gather the information [cite to and note other studies that had similar problems when possible];
- Assess the impact of each limitation in relation to the overall findings and conclusions of your study; and,
- If appropriate, describe how these limitations could point to the need for further research.
Remember that the method you chose may be the source of a significant limitation that has emerged during your interpretation of the results [for example, you didn't interview a group of people that you later wish you had]. If this is the case, don't panic. Acknowledge it, and explain how applying a different or more robust methodological technique might address the research problem more effectively in a future study. A underlying goal of scholarly research is not only to show what works, but to demonstrate what doesn't work or what needs further clarification.
Aguinis, Hermam and Jeffrey R. Edwards. “Methodological Wishes for the Next Decade and How to Make Wishes Come True.” Journal of Management Studies 51 (January 2014): 143-174; Brutus, Stéphane et al. "Self-Reported Limitations and Future Directions in Scholarly Reports: Analysis and Recommendations." Journal of Management 39 (January 2013): 48-75; Ioannidis, John P.A. "Limitations are not Properly Acknowledged in the Scientific Literature." Journal of Clinical Epidemiology 60 (2007): 324-329; Pasek, Josh. Writing the Empirical Social Science Research Paper: A Guide for the Perplexed. January 24, 2012. Academia.edu; Structure: How to Structure the Research Limitations Section of Your Dissertation. Dissertations and Theses: An Online Textbook. Laerd.com; What Is an Academic Paper? Institute for Writing Rhetoric. Dartmouth College; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University.
Writing Tip
Don't Inflate the Importance of Your Findings!
After all the hard work and long hours devoted to writing your research paper, it is easy to get carried away with attributing unwarranted importance to what you’ve done. We all want our academic work to be viewed as excellent and worthy of a good grade, but it is important that you understand and openly acknowledge the limitations of your study. Inflating the importance of your study's findings by ignoring or downplaying limitations could be perceived by your readers as an attempt hide its flaws or encourage a biased interpretation of the results. A small measure of humility goes a long way!
Tanner, Ralph E. S. Chance and Probability: The Limitations of the Social Sciences . New Delhi: Concept Publishing Company, 2011.
Another Writing Tip
Negative Results are Not a Limitation!
Negative evidence refers to findings that unexpectedly challenge rather than support your hypothesis. If you didn't get the results you anticipated, it may mean your hypothesis was incorrect and needs to be reformulated. Or, as is often the case, you have stumbled onto something unexpected that warrants further study. Moreover, the absence of an effect may be very telling in many situations, particularly in experimental research designs. In any case, your results may very well be of importance to others even though they did not support your initial assumptions. Do not fall into the trap of thinking that results contrary to what you expected is a limitation to your study. If you carried out the research well, they are simply your results and only require additional interpretation in the discussion section of your paper.
Lewis, George H. and Jonathan F. Lewis. “The Dog in the Night-Time: Negative Evidence in Social Research.” The British Journal of Sociology 31 (December 1980): 544-558; Lehrer, David et al. "Negative Results in Social Science." European Political Science 6 (February 2007): 51-68.
Yet Another Writing Tip
Sample Size Limitations in Qualitative Research
Sample sizes are typically smaller in qualitative research because, as the study goes on, acquiring more data does not necessarily lead to more information. This is because one occurrence of a piece of data, or a code, is all that is necessary to ensure that it becomes part of the analysis framework. However, it remains true that sample sizes that are too small cannot adequately support claims of having achieved valid conclusions and sample sizes that are too large do not permit the deep, naturalistic, and inductive analysis that defines qualitative inquiry. Determining adequate sample size in qualitative research is ultimately a matter of judgment and experience in evaluating the quality of the information collected against the uses to which it will be applied and the particular research method and purposeful sampling strategy employed. If the sample size is found to be a limitation, it may reflect your judgment about the methodological technique chosen [e.g., single life history study versus focus group interviews] rather than the number of respondents used.
Boddy, Clive Roland. "Sample Size for Qualitative Research." Qualitative Market Research: An International Journal 19 (2016): 426-432; Huberman, A. Michael and Matthew B. Miles. "Data Management and Analysis Methods." In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 428-444; Blaikie, Norman. "Confounding Issues Related to Determining Sample Size in Qualitative Research." International Journal of Social Research Methodology 21 (2018): 635-641; Oppong, Steward Harrison. "The Problem of Sampling in qualitative Research." Asian Journal of Management Sciences and Education 2 (2013): 202-210.
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Limitations of a Study: The Complete Guide
Research limitations make most studies imperfect. At its core, the research aims to investigate a specific question or questions about a topic. However, some things can hinder your ability to investigate the question or questions extensively. While this can make achieving your goals challenging, it enables you to point areas that require further studies.
That’s why you should demonstrate how future studies can provide answers to your unanswered questions if you encounter study limitations that affect your findings. Presenting the limitations of a study properly shows the readers that you understand your research problem.
After presenting your research findings, your assessment committee wants to see that you did your work professionally. And presenting limitations in a study shows that you carefully thought about your study problem and performed a review of the available literature while analyzing your preferred methods.
What Are Limitations in Research?
Well, limitations mean anything that might affect the generalizability or reliability of the outcomes of an experiment or a study. And this can relate to research design, like your approach or methods. It can also be something to do with how you carried out your research, like running out of resources or time before completing the study.
Either way, students should include their limitations when writing up their studies. In most cases, researchers include limitations in their analysis and discussions. But different schools can provide varying guidelines on how to include limitations in a research paper. Therefore, seek advice from your educator or check your writing style guide to know where to include the limitations of a study when writing a dissertation.
Common Study Limitations
Each study can have unique limitations. However, most students encounter common study limitations when writing academic papers. Here are some of the most common limitations you’re likely to encounter when writing your academic papers.
Sample profile or size: Most researchers encounter sampling as a limitation for their studies. That’s because they have difficulties finding the right sample with the necessary characteristics and size parameters. And this hinders the generalizability of their study results. Also, different sampling techniques are prone to bias and errors. And this can influence the study outcomes. In some cases, researchers have difficulties selecting their samples and opt to pick their participants selectively. Some researchers can even include irrelevant subjects in their general pool to hit their preferred sample size. Availability of previous research or information: Theoretical concepts or previous knowledge form the basis of studies on specific topics. And this provides a sound foundation on which a researcher can develop a research problem for their investigation and a design. However, a topic can be relatively specific or very progressive. In that case, the lack of or inadequate knowledge and previous studies can limit the analysis scope. And this can cause inaccuracies in the arguments or present a significant error margin in several methodologies and research aspects. Methodology errors: Modern research complexity can cause potential methodology limitations. In most cases, these research limitations relate to how the researchers collect and analyze data. That’s because these aspects can influence the outcomes of a study. Researchers use different techniques to gather data. While these techniques may suit a study design, they can present limitations in terms of inappropriate detail levels, distractions, and privacy. Bias: Bias is a potential limitation whose effects can influence the outcome of every study. However, a researcher can avoid this limitation by eliminating prejudiced or emotional attitudes towards their topic and conflict of interest. Researchers should also establish an oversight level by referring to peer-review procedures or an ethics committee. Bias is an inherent trait for human beings. Even the most objective people exhibit a bias to some extent. Nevertheless, a researcher should remain objective while trying to control potential inaccuracies or bias during the research process.
A researcher may not have control over the limitation of study. However, the limitation can be the condition, influence, or shortcoming that places restrictions on their conclusions or methodology. Therefore, researchers should mention all limitations that can influence their results.
Limitations of the Study Example
The purpose of most studies is to confirm or establish facts, reaffirm a previous study’s outcomes, solve current or new issues, develop a new theory, or support theorems. Research should also enable experts to develop knowledge on specific subjects. And people research different subjects, depending on their interests. However, researchers experience limitations of quantitative research and qualitative research. Here are the most common limitations in research.
Lack or inadequate interactions: Researchers might lack adequate interactions with government institutions and businesses. Consequently, they do not tap a substantial data amount. Researchers should arrange interaction programs with other establishments. That way, they can identify issues that warrant investigation and the necessary data for conducting research, as well as, the benefits of their studies. Overlapping studies can lead fritter resources away or duplicate the findings. Appropriate revision and compilation at regular intervals can solve this problem. Costly publishing: After researching a topic, a researcher should find ways to publish their findings. However, international journals cost a lot of money to publish a study. And this can discourage a researcher from publishing their work. For instance, a study involving females only or carried out in a specific town can have limitations like sample size, gender, and location. What’s more, the entire study could be limited to the researcher’s perception. Lack of or inadequate training: The research process doesn’t have a systematic methodology. Many researchers do not understand the research method when carrying out their work. Consequently, most researchers experience methodological limitations. Essentially, most researchers replicate the methodologies of similar studies. Even some research guides don’t explain the methodologies accurately. And this can limit the outcome of some studies. Lack of code of conduct: Researchers don’t have a code of conduct. And this causes inter-university and inter-departmental rivalries. Library functioning and management are not adequate in most places. Consequently, some researchers spend a lot of energy and time tracing the necessary books, reports, and journals for their studies. Such energy and time can be spent tracing relevant materials. Lack of confidence: The lack of confidence is among the most common limitations of research studies because company managers think that a researcher can misuse the data they disclose to them. Consequently, they don’t want to reveal their business information. And this can affect studies, yet data from researchers can help the same institutions. Therefore, organizations and researchers should implement confidence-building strategies to encourage companies to share data, knowing that researchers will use it productively.
Why Write the Limitations of a Study?
When writing a research paper or a thesis, some people think including study limitations is counterintuitive. That’s particularly the case for researchers that experienced something wrong. However, mentioning the limitations of your study is imperative for the following reasons.
- It tells the readers that you understand that no study lacks some limitations, and you took the time to analyze your work critically.
- It provides opportunities for further studies.
- It enables you to discuss the impacts of the limitations on your analysis and how future studies can address the challenges you encountered if granted a chance to do the study again.
- It presents your study as a transparent undertaking, making the results useful and credible for other people.
Most professors spot problems with the students’ work even if they don’t mention them. Consequently, embracing the limitations of your study and including them in your analysis is the best approach. Leaving out the limitations of research or vital aspects of a study can be detrimental to the entire study field. That’s because it can establish a potentially fallacious and incomplete depiction of the study.
In the academic world, players expect researchers to include the limitations of their works. And this includes a section that demonstrates a holistic and comprehensive understanding of a topic and research process by the author. Discussing limitations is a learning process for assessing the magnitude while critically evaluating the extenuating effect of the stated limitations.
Stating the limitations of a study also improves the validity and quality of future studies. And this includes limitations whose basis is the transparency principle in scientific research, whose purpose is to promote further progress while maintaining mutual integrity in similar studies.
How to Write Study Limitations
When writing your research limitations, do it in a way that demonstrates your understanding of the core concepts of confounding, analytical self-criticism, and bias. Highlighting every limitation might not be necessary. However, include every limitation with a direct impact on your research problem or study results.
Present your thought process as a researcher and explain the pros and cons of your decisions. Also, explain circumstances that may have led to a research limitation. Here’s how you should structure your limitations.
- Identification and description of the limitation: Use professional terminology to identify and describe the limitation. Also, include all necessary accompanying definitions. The limitation explanation should be precise and brief to ensure that the audience can easily understand the issue. Additionally, make sure that your audience can follow your thought pattern.
- Outline the possible impact or influence of the limitation: Explain to your readers how the limitation may have affected or influenced your study. And this comprises elements like the impact’s magnitude, occurrence likelihood, and the general direction the specific limitation could have driven your findings. Researchers generally accept that a limitation can have a more profound influence on a study than others. Therefore, highlight the effect or influence of a limitation to help readers decide on the issues to consider while examining your topic. And this is vital because a limitation whose value bias is null is less dangerous.
- Discuss alternative approaches to limitations: You can also discuss alternative ways to approach the limitations of your research question. However, the researcher should support the methodology or approach they selected in their study. Also, a research paper should explain why the study context warranted the methodology or approach, regardless of the limitation’s nature. Some researchers even provide persuasive evidence while discussing alternative decisions to some extent. And this shows thought transparency while reassuring readers that the researcher chose the best approach, despite the possible laminations.
- Description of the techniques for minimizing risks: Any limitation in research comes with some risks. Therefore, a researcher should describe possible techniques for minimizing the potential risk from the stated limitations. Such techniques can include a reference of previous studies and suggestions for improving data analysis and research design.
Don’t forget that acknowledging your study limitations provides a chance to suggest the direction for further studies. Therefore, connect the limitations of your study to the suggestions you make for further research. Also, explain how your study can make the unanswered questions more focused.
Also, acknowledging the limitation of the study enables you to demonstrate to the professor that you have critically thought about your research problem and understood the importance of the already-published literature. What’s more, it shows that you’ve carefully assessed the methods for studying your study problem. In research, a key objective is to discover new knowledge while confronting assumptions as you explore what others might not know.
Writing limitations should be a subjective process. That’s because you must analyze the impacts of the limitations and include them in your paper. In this section, don’t include the key weaknesses only. Instead, highlight the magnitude of the limitations of your research. And doing this requires you to demonstrate your study’s validity. Show the readers how the limitations have impacted your study outcomes and conclusions. Thus, writing the limitations section of your paper requires an overall, critical interpretation and appraisal of the impact. Essentially, this section should tell the readers why the problems with methods, errors, validity, and other limitations matter and to what extent.
Practical Tips for Writing Research Limitations
When writing a research paper, include information about your study’s limitations at the beginning of the discussion section. That way, your readers can understand your study limitations before delving into the deeper analysis. In some cases, authors bring out limitations when concluding their research discussion and highlighting the essence of further study on the subject. Here are practical tips to help you write the limitations of your study more effectively.
- Check some examples of limitations in research first: To understand the best way to include or present the limitations of your study, check how other authors do it. The internet is awash with good sample papers with a section for limitations. Checking such samples can help you write a limitations section for your academic paper.
- Include essential limitations only: Don’t come up with a list of limitations in your research paper. That’s because doing so can discredit the entire research project. Instead, highlight up to 3 limitations whose influence on your work was the highest. Also, explain how each of the limitations affected your work and research findings.
- Be brief and direct to the point: Identify the limitation, what caused it, and its impact on your research. Don’t expound on the limitation beyond this because the limitation section should be a small part of your paper.
- Be sincere: Don’t make up some lies or disguise your research limitations. That’s because doing so could prove you aren’t prepared. Therefore, be true and sincere with the audience. As you might see in good examples of study limitations, this section tells the audience what could be different or better.
- Explain what caused the limitations of your study: Your audience should have an easy time identifying the reason for the limitations. Therefore, make sure that you have explained everything correctly. Telling the readers about a limiting factor without explaining it can give them the impression that you’re outside your research project.
- Make suggestions for further studies: An ideal way for reversing points that other researchers can explore is to suggest future research paths. Your study could have failed in certain aspects. Maybe you didn’t achieve your expected results. However, it can prompt other researchers to take different directions in their future studies. Also, explain how other researchers can overcome the limitations you encountered in your study. You can even demonstrate why additional studies on the topic or subject are essential.
- Don’t confuse negative results with limitations: If your study brings out negative results, don’t confuse them for limitations. What negative outcomes mean is that you should support your hypothesis instead of opposing it. Perhaps, you can check sample limitations to understand what qualifies as a limitation. However, you can reformulate your hypothesis if you get negative results. Even when you stumble onto something you didn’t expect, don’t highlight it as a limitation.
Final Thoughts
When working on the limitations section of a research paper, be precise and clear. If writing this section becomes challenging, follow the tips shared in this article or seek assistance. That way, you can impress your educator by highlighting the limitations of your study properly.
Frequently Asked Questions
Richard Ginger is a dissertation writer and freelance columnist with a wealth of knowledge and expertise in the writing industry. He handles every project he works on with precision while keeping attention to details and ensuring that every work he does is unique.
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Common types of limitations and their ramifications include: Theoretical: limits the scope, depth, or applicability of a study. Methodological: limits the quality, quantity, or diversity of the data. Empirical: limits the representativeness, validity, or reliability of the data. Analytical: limits the accuracy, completeness, or significance of ...
6. Limited Scope. "Limited scope" is perhaps one of the most common limitations listed by researchers - and while this is often a catch-all way of saying, "well, I'm not studying that in this study", it's also a valid point. No study can explore everything related to a topic.
Example: "One limitation of this study is the small sample size, which limits the generalizability of the findings." 2. Provide Context for the Limitations. Explain why the limitations occurred and whether they were unavoidable. Example: "The time constraints of a semester-long project restricted the ability to conduct a longitudinal ...
Step 1. Identify the limitation (s) of the study. This part should comprise around 10%-20% of your discussion of study limitations. The first step is to identify the particular limitation (s) that affected your study. There are many possible limitations of research that can affect your study, but you don't need to write a long review of all ...
Delimitations are the definitions you set as the boundaries of your own thesis or dissertation, so delimitations are in your control. Delimitations are set so that your goals do not become impossibly large to complete. Examples of delimitations include objectives, research questions, variables, theoretical objectives that you have adopted, and ...
2.1. Limitations Example 1. Following example is from a Medical research paper. The authors talk about the limitations and emphasis the importance of reconfirming the findings in a much larger study. Study design and small sample size are important limitations. This could have led to an overestimation of the effect.
Limitation #2: Time & Money. Almost every researcher will face time and budget constraints at some point. Naturally, these limitations can affect the depth and breadth of your research - but they don't need to be a death sentence. Effective planning is crucial to managing both the temporal and financial aspects of your study.
For instance, once spoken of the sample size limitations, do not write that, 'the study also saw the limitation of less number of people turning up for the survey questionnaire fill-ins.' Sample of 'limitations of the study' The following is a classic example of how to write the limitations in a thesis. The main aim of the study was to ...
Possible Limitations of the Researcher. Access-- if your study depends on having access to people, organizations, data, or documents and, for whatever reason, access is denied or limited in some way, the reasons for this needs to be described.Also, include an explanation why being denied or limited access did not prevent you from following through on your study.
Limitations of the Study Example. The purpose of most studies is to confirm or establish facts, reaffirm a previous study's outcomes, solve current or new issues, develop a new theory, or support theorems. ... When writing a research paper or a thesis, some people think including study limitations is counterintuitive. That's particularly ...