It is a good idea to understand how to choose an appropriate sample size before you conduct your research by using scientific calculation tools.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.
If your sample size is too small, it will be difficult to identify significant relationships from 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.
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 limitations, and recommended techniques for presenting this information.
Since all studies face limitations, being honest and detailing these limitations will impress researchers and reviewers much more than ignoring them.
Some limitations might be evident to researchers before the start of the study, while others might become clear while you are conducting the research.When conducting a study, it is important to have a sufficient sample size in order to conclude a valid research result.The larger the sample, the more precise your results will be.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 validate despite this limitation.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.In this case, discovering a limitation can be considered an important opportunity to identify new gaps in the prior literature and to present the need for further development in the area of study.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.The following are some major potential methodological issues that can impact the conclusions researchers can draw from the research: 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 for 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.