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Imince:一个基于无约束因子分析的测量不变性评估程序。

Imince: an unrestricted factor-analysis-based program for assessing measurement invariance.

作者信息

Lorenzo-Seva Urbano, Ferrando Pere J

机构信息

Rovira i Virgili University, Facultat de Psicologia, Tarragona, Spain.

出版信息

Behav Res Methods Instrum Comput. 2003 May;35(2):318-21. doi: 10.3758/bf03202558.

Abstract

In this article, a Windows program for analyzing measurement invariance in two different populations is described. Factor analysis is a common way of assessing measurement invariance, and restricted factor analysis is now the most popular method. However, applied researchers have usually found that the theoretical advantages of restricted factor analysis do not always apply in practical situations. For example, when the participant sample is large, as is the case in Internet-based questionnaires, the available software for restricted factor analysis might fail to converge on a solution. Our program is based on unrestricted factor analysis and considers the three parameters that define factor invariance: difficulties, discriminations, and residual variances. The statistical significance of the tests for evaluating invariance is obtained using Bootstrap resampling procedures. A real-life example demonstrates the usefulness of the program.

摘要

本文介绍了一个用于分析两个不同群体测量不变性的Windows程序。因子分析是评估测量不变性的常用方法,而受限因子分析是目前最流行的方法。然而,应用研究人员通常发现,受限因子分析的理论优势在实际情况中并不总是适用。例如,当参与者样本量很大时,如基于互联网的问卷调查那样,用于受限因子分析的现有软件可能无法收敛到一个解。我们的程序基于非受限因子分析,并考虑定义因子不变性的三个参数:难度、区分度和残差方差。使用Bootstrap重采样程序获得评估不变性检验的统计显著性。一个实际例子证明了该程序的实用性。

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