Effect sizes for experimental research.

IF 1.5 3区心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

British Journal of Mathematical & Statistical Psychology Pub Date : 2025-03-31 DOI:10.1111/bmsp.12389

Larry V Hedges

引用次数: 0

Abstract

Good scientific practice requires that the reporting of the statistical analysis of experiments should include estimates of effect size as well as the results of tests of statistical significance. Good statistical practice requires that effect size estimates be reported along with some indication of their statistical uncertainty, such as a standard error. This article provides a review of effect sizes for experimental research, including expressions for the standard error of each effect size. It focuses on effect sizes for experiments with treatments having a single degree of freedom but also includes effect sizes for treatments with multiple degrees of freedom having either fixed or random effects.

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实验研究的效应量。

良好的科学实践要求，实验的统计分析报告应包括对效应大小的估计以及统计显著性检验的结果。良好的统计实践要求在报告效应大小估计值的同时，还应说明其统计不确定性，如标准误差。本文综述了实验研究中的效应量，包括每个效应量的标准误差表达式。它侧重于具有单一自由度的处理实验的效应量，但也包括具有固定或随机效应的多个自由度处理的效应量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

British Journal of Mathematical & Statistical Psychology 医学-数学跨学科应用

CiteScore

5.00

自引率

3.80%

发文量

审稿时长

>12 weeks

期刊介绍： The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.