心理信息
可解释性
桥接(联网)
背景(考古学)
引用
心理学
管理科学
桥(图论)
数据科学
计算机科学
应用心理学
梅德林
医学
政治学
人工智能
工程类
法学
古生物学
万维网
内科学
生物
计算机网络
作者
Zachary H. Mastrich,Ivan Hernandez
出处
期刊:Health Psychology
[American Psychological Association]
日期:2021-10-01
卷期号:40 (10): 727-736
被引量:13
摘要
Health psychology, as an applied area, emphasizes bridging the gap between researchers and practitioners. While rigorous research relies on advanced statistics to illustrate an underlying psychological process or treatment effectiveness, these statistics have less immediate applicability to practitioners who require knowing the relative magnitude in practical benefits. One way to reduce this research-practice gap is to translate reported effects into nontechnical language whose focus is on the likelihood of benefiting an individual. Common Language Effect Size (CLES) indicators offer a more intuitive way to understand statistical results from research but may not be widely known to researchers.This article synthesizes the literature of available CLES indicators and how they overcome limitations from traditional effect sizes. To promote adoption, we summarize all existing measures in a compact table, which includes their analogous effect size, context, interpretation, calculation, and citation.We present evidence describing the effectiveness of CLES indicators at facilitating research interpretability compared to traditional effect size indicators. We discuss some limitations of CLES indicators and reasons that they are not used in psychology. Finally, this review offers some future directions for the use and study of CLES indicators moving forward.In general, CLES indicators are tools that can benefit health psychology because of their shared goals to aid practitioners in understanding research findings and making informed decisions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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