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Application of statistical power analysis - How to determine the right sample size in human health, comfort and productivity research

机译：统计功效分析的应用-如何在人类健康，舒适度和生产率研究中确定合适的样本量

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摘要

The minimum size of subjects required for the research on human health, thermal comfort and productivity is a frequently asked question. In this paper the idea of power analysis, which helps to determine required sample size as well as to interpret research results, is introduced in order to promote good practice of power analysis in the context of human and building environment relationship research. How to calculate effect size from published article or experimental data is presented with plenty of examples. The effect sizes of several physiological and psychological measurements indicating the effect of indoor environment quality on human health, thermal comfort and productivity are presented, which could be worked as references when researchers planning their own studies. How to determine required sample size when planning a study and how to interpret the research results with power analysis are also illustrated step by step with samples. Finally how to make decisions when evaluating the study results is summarized. It is expected that these examples and the summary could help researchers to better apply power analysis in indoor environment quality (IEQ) studies. Some statistical terms used in this paper, such as power analysis, effect size, and t-test, etc., are explained in detail in the Appendix.
机译：研究人体健康，热舒适性和生产力所需的最小学科规模是一个经常问到的问题。本文介绍了功耗分析的概念，它有助于确定所需的样本量并解释研究结果，以便在人与建筑环境关系研究的背景下促进功耗分析的良好实践。大量示例介绍了如何根据已发表的文章或实验数据计算效果大小。介绍了几种生理和心理测量的影响大小，这些影响大小指示了室内环境质量对人体健康，热舒适性和生产率的影响，可在研究人员计划自己的研究时用作参考。还逐步说明了如何在计划研究时确定所需的样本量以及如何通过功效分析解释研究结果。最后总结了评估研究结果时如何制定决策。预计这些示例和摘要将有助于研究人员将功率分析更好地应用于室内环境质量（IEQ）研究中。附录中详细说明了本文中使用的一些统计术语，例如功效分析，效应量和t检验等。

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