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谴责使用特定领域的效应量分布来告知大小。

Denouncing the use of field-specific effect size distributions to inform magnitude.

作者信息

Panzarella Emily, Beribisky Nataly, Cribbie Robert A

机构信息

Department of Psychology, York University, Toronto, Ontario, Canada.

出版信息

PeerJ. 2021 Jun 14;9:e11383. doi: 10.7717/peerj.11383. eCollection 2021.

Abstract

An effect size (ES) provides valuable information regarding the magnitude of effects, with the interpretation of magnitude being the most important. Interpreting ES magnitude requires combining information from the numerical ES value and the context of the research. However, many researchers adopt popular benchmarks such as those proposed by Cohen. More recently, researchers have proposed interpreting ES magnitude relative to the distribution of observed ESs in a specific field, creating unique benchmarks for declaring effects small, medium or large. However, there is no valid rationale whatsoever for this approach. This study was carried out in two parts: (1) We identified articles that proposed the use of field-specific ES distributions to interpret magnitude (primary articles); and (2) We identified articles that cited the primary articles and classified them by year and publication type. The first type consisted of methodological papers. The second type included articles that interpreted ES magnitude using the approach proposed in the primary articles. There has been a steady increase in the number of methodological and substantial articles discussing or adopting the approach of interpreting ES magnitude by considering the distribution of observed ES in that field, even though the approach is devoid of a theoretical framework. It is hoped that this research will restrict the practice of interpreting ES magnitude relative to the distribution of ES values in a field and instead encourage researchers to interpret such by considering the specific context of the study.

摘要

效应量(ES)提供了有关效应大小的有价值信息,其中对效应大小的解释最为重要。解释效应量大小需要结合数值效应量值和研究背景中的信息。然而,许多研究人员采用了如科恩所提出的那些流行基准。最近,研究人员提议相对于特定领域中观察到的效应量分布来解释效应量大小,从而创建用于判定效应为小、中或大的独特基准。然而,这种方法没有任何有效的理论依据。本研究分两个部分进行:(1)我们识别出提议使用特定领域效应量分布来解释效应大小的文章(主要文章);(2)我们识别出引用主要文章的文章,并按年份和出版类型对其进行分类。第一类包括方法学论文。第二类包括使用主要文章中提出的方法来解释效应量大小的文章。尽管该方法缺乏理论框架,但讨论或采用通过考虑该领域中观察到的效应量分布来解释效应量大小方法的方法学和实质性文章的数量一直在稳步增加。希望这项研究将限制相对于一个领域中效应量值分布来解释效应量大小的做法,转而鼓励研究人员通过考虑研究的具体背景来进行解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c35d/8210805/2ebece670de5/peerj-09-11383-g001.jpg

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