ABSTRACT The reporting of accurate and appropriate conclusions is an essential aspect of scientific research, and failure in this endeavor can threaten the progress of cumulative knowledge. This is highlighted by the current reproducibility crisis, and this crisis disproportionately affects fields that use behavioral research methods, as in much lighting research. A sample of general and topic-specific lighting research papers was reviewed for information about sample sizes and statistical reporting. This highlighted that lighting research is generally underpowered and, given median sample sizes, is unlikely to be able to reveal small effects. Lighting research most commonly uses parametric statistical tests, but assessment of test assumptions is rarely carried out. This risks the inappropriate use of statistical tests, potentially leading to type I and type II errors. Lighting research papers also rarely report measures of effect size, and this can hamper cumulative science and power analyses required to determine appropriate sample sizes for future research studies. Addressing the issues raised in this article related to sample sizes, statistical test assumptions, and reporting of effect sizes can improve the evidential value of lighting research.

中文翻译：

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功效分析、样本量和统计假设评估——提高照明研究的证据价值

摘要 准确和适当的结论的报告是科学研究的一个重要方面，而这一努力的失败可能会威胁到累积知识的进步。当前的可重复性危机突出了这一点，并且这种危机对使用行为研究方法的领域产生了不成比例的影响，就像在许多照明研究中一样。审查了一般和特定主题照明研究论文的样本，以获取有关样本大小和统计报告的信息。这突出表明照明研究通常动力不足，并且鉴于样本量中位数，不太可能揭示微小的影响。照明研究最常使用参数统计测试，但很少对测试假设进行评估。这可能会导致不恰当地使用统计测试，可能导致 I 型和 II 型错误。照明研究论文也很少报告效应大小的度量，这可能会妨碍为未来研究确定适当样本大小所需的累积科学和功率分析。解决本文中提出的与样本大小、统计测试假设和效果大小报告相关的问题可以提高照明研究的证据价值。