探索教育研究中样本量的确定:全面回顾

Smruti Besekar, S. Jogdand, Waqar M. Naqvi
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引用次数: 0

摘要

背景 通过对出版物进行深入研究,我们对教育研究中的样本量进行了评估。样本量(用字母 "n "表示)是本研究的一个关键因素,因为它规定了代表目标人群的参与者人数。尽管文献中已经发表了各种研究报告,对样本量的计算过程进行了定义,但仍存在很多不确定性。重要的是要明白,对于不同的研究设计,并没有一种包罗万象的方法来确定样本量。相反,不同的研究设计需要不同的方法来确定样本数。方法 根据最新的 PRISMA 建议从数据库中检索信息。从两个数据库(谷歌学术和 PubMed)中检索相关文章时使用了关键词。通过彻底审查并应用纳入和排除标准筛选出文章。结果 筛选出七篇文章,并对入选研究的方法、目标和结果进行了比较。结论 对七项研究进行整体评估后得出结论,任何新方法的测试样本量基本上都需要每组 24.24 名参与者。模拟教育研究的样本量中位数为 30 人。要根据适用于所有设计类型的单一通用公式来确定适当的样本量,还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Sample Size Determination in Educational Research: A Comprehensive Review
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.
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