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Review Article



How to calculate sample size for observational and experimental nursing research studies?

Suresh Kumar Sharma, Shiv Kumar Mudgal, Kalpana Thakur, Rakhi Gaur.

Abstract
Sample size estimation for a research study is the most crucial part of the research process because it helps to produce reliable results which improve generalizability of study results. A researcher must have understanding about significance level, effect size, study’s power, and effect size; margin of error and ratio in event among population and design effect to use sample size calculation formulas efficiently. There are different formulas of sample size calculation for different types of variables measured in distinct study designs, namely descriptive, epidemiological, comparative, and interventional research studies which are covered in this article. Review authors searched online and grey literature related to sample size and read extensively. There were two authors who extracted and complied information related to topic.

Key words: Sample Size Calculation; Observational Studies; Experimental Studies; Case–Control and Cohort Studies



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The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
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