用名义项目研究因子不变量：关于潜在变量建模程序的说明

IF 2.1 3区心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Educational and Psychological Measurement Pub Date : 2024-06-24 DOI:10.1177/00131644241256626

Tenko Raykov

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引用次数: 0

摘要

本文讨论了一种潜变量建模程序，用于研究具有名义项目的多成分测量工具的因子不变量和差异项目功能。该方法基于利用误发现率概念和似然比检验的多重检验方法。该方法与 Revuelta、Franco-Martinez 和 Ximenez 的因子不变量检验方法相辅相成，并允许对个别不变量违规行为进行定位。所概述的方法无需选择参考观测变量，并用经验数据进行了说明。

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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Studying Factorial Invariance With Nominal Items: A Note on a Latent Variable Modeling Procedure

A latent variable modeling procedure for studying factorial invariance and differential item functioning for multi-component measuring instruments with nominal items is discussed. The method is based on a multiple testing approach utilizing the false discovery rate concept and likelihood ratio tests. The procedure complements the Revuelta, Franco-Martinez, and Ximenez approach to factorial invariance examination, and permits localization of individual invariance violations. The outlined method does not require the selection of a reference observed variable and is illustrated with empirical 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.