二阶尺度的比例解释成分方差：对潜在变量建模方法的注解。

IF 2.3 3区心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Educational and Psychological Measurement Pub Date : 2025-08-23 DOI:10.1177/00131644251350536

Tenko Raykov, Christine DiStefano, Yusuf Ransome

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引用次数: 0

摘要

本文概述了一种在二阶结构的行为量表中，用潜在特征来评估被解释成分方差的比例的方法。由此得出的所有尺度分量的考虑方差指数是对传统的ω -等级系数以及被解释分量相关性比例的有用和信息补充。对所讨论的指标描述了一种点和区间估计方法，该方法利用了潜在变量建模方法中的验证性因子分析方法。该程序可与广泛可用的软件一起使用，并附有数据说明。

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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Proportion Explained Component Variance in Second-Order Scales: A Note on a Latent Variable Modeling Approach.

A procedure for evaluation of the proportion explained component variance by the underlying trait in behavioral scales with second-order structure is outlined. The resulting index of accounted for variance over all scale components is a useful and informative complement to the conventional omega-hierarchical coefficient as well as the proportion of explained component correlation. A point and interval estimation method is described for the discussed index, which utilizes a confirmatory factor analysis approach within the latent variable modeling methodology. The procedure can be used with widely available software and is illustrated on data.

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来源期刊

Educational and Psychological Measurement 医学-数学跨学科应用

CiteScore

5.50

自引率

7.40%

发文量

审稿时长

6-12 weeks

期刊介绍： Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.