A gain-probability way to interpret correlation coefficients: A tutorial.

IF 7.5 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Psychological methods Pub Date : 2026-04-01 Epub Date: 2025-10-27 DOI:10.1037/met0000798
David Trafimow
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引用次数: 0

Abstract

The interpretation of correlation coefficients has invoked considerable discussion over many decades. One interpretive procedure is to use the coefficient of determination-the squared correlation coefficient-to index variance accounted for in one variable by variance in the other variable. A second interpretive procedure is to construct binomial effect size displays that involve dichotomizing continuous dependent variables. The present goal is to present a third interpretive procedure, with tutorial, to estimate probabilistic (dis)advantages implied by correlation coefficients and construct gain-probability diagrams. The proposed procedure does not involve dichotomizing continuous dependent variables, thereby losing information. In addition, the proposed procedure extends well to comparing correlation coefficients and facilitates subtle and nuanced implications that can enhance theoretical specificity. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

解释相关系数的增益概率方法:教程。
几十年来,相关系数的解释引起了相当多的讨论。一种解释方法是使用决定系数——相关系数的平方——用另一个变量的方差来表示一个变量的方差。第二个解释程序是构建二项效应大小显示,其中涉及对连续因变量进行二分类。目前的目标是提出第三种解释程序,并附有教程,以估计相关系数所隐含的概率(dis)优势并构建增益-概率图。所提出的程序不涉及二分类连续因变量,从而丢失信息。此外,所提出的程序可以很好地扩展到比较相关系数,并促进可以增强理论特异性的微妙和微妙的含义。(PsycInfo Database Record (c) 2025 APA,版权所有)。
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来源期刊
Psychological methods
Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
13.10
自引率
7.10%
发文量
159
期刊介绍: Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.
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