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.When there is very little or no prior research on a specific topic, you may need to develop an entirely new research typology.Tags: Examples Of A Good Literature ReviewCahsee Ela Essay PromptsMaster Thesis In PhysicsMarket Research PaperProblem SolvingsTopics For An Expository EssayPersuasive Essay OutlinesWeak Ai ThesisMy Virtual Child AssignmentCritical Essays On Carson Mccullers
In this case, explain the reasons for limited access and be sure that your finding is still reliable and validate despite this limitation.
Just as students have deadlines to turn in their class papers, academic researchers also must meet the deadline for submitting a research manuscript to a journal.
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.
Is it wrong to use these tools to analyze research data?
While it is not wrong to use frequency count and percentages as statistical tools, these techniques are no longer considered reliable to draw a conclusion.
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.
However, you might have had limited ability to gain access to the appropriate type or geographic scope of participants.
More specifically, try to place study limitations near the of this section, after you have touted some of the strengths of your methodology.
Discussing your limitations before deeply analyzing your research findings will qualify these findings and help readers understand how they can be applied to future research.