{"title":"Exploring Sample Size Determination in Educational Research: A Comprehensive Review","authors":"Smruti Besekar, S. Jogdand, Waqar M. Naqvi","doi":"10.12688/f1000research.141173.3","DOIUrl":null,"url":null,"abstract":"Background By conducting an in-depth study of the publications, a review was conducted with the goal of evaluating the sample size in educational research. The sample size, represented by the letter “n,” is a key factor in this research because it specifies the number of participants who represent the target population. Although various studies have been published in the literature defining the processes for calculating sample sizes, there is still much uncertainty. It is vital to understand that there is no single all-encompassing method for determining sample sizes for different study designs. Instead, different study designs call for different approaches to determine sample numbers. Methods Information was retrieved from the databases in accordance with updated PRISMA recommendations. The keywords used for the retrieval of the relevant articles from two databases (Google Scholar and PubMed). The articles were selected by thorough scrutiny and application of inclusion and exclusion criteria. Results Seven articles were selected and the comparison was made among the studies in the relation to methods, objective, and outcome from the enrolled studies. Conclusions The evaluation of the seven studies as a whole concluded that the sample size for testing any novel approach essentially required 24.24 participants in each group. The median sample size for the simulation-based educational research was 30. Further research is required to determine the proper sample size based on a single universal formula for all types of designs.","PeriodicalId":504605,"journal":{"name":"F1000Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"F1000Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/f1000research.141173.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background By conducting an in-depth study of the publications, a review was conducted with the goal of evaluating the sample size in educational research. The sample size, represented by the letter “n,” is a key factor in this research because it specifies the number of participants who represent the target population. Although various studies have been published in the literature defining the processes for calculating sample sizes, there is still much uncertainty. It is vital to understand that there is no single all-encompassing method for determining sample sizes for different study designs. Instead, different study designs call for different approaches to determine sample numbers. Methods Information was retrieved from the databases in accordance with updated PRISMA recommendations. The keywords used for the retrieval of the relevant articles from two databases (Google Scholar and PubMed). The articles were selected by thorough scrutiny and application of inclusion and exclusion criteria. Results Seven articles were selected and the comparison was made among the studies in the relation to methods, objective, and outcome from the enrolled studies. Conclusions The evaluation of the seven studies as a whole concluded that the sample size for testing any novel approach essentially required 24.24 participants in each group. The median sample size for the simulation-based educational research was 30. Further research is required to determine the proper sample size based on a single universal formula for all types of designs.