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一种在多总体研究中检验量表效度组间差异的方法。

A method for testing group differences of scale validity in multiple population studies.

作者信息

Raykov Tenko

机构信息

Department of Psychology, Fordham University, Bronx, NY 10458, USA.

出版信息

Br J Math Stat Psychol. 2005 May;58(Pt 1):173-84. doi: 10.1348/000711005X38005.

Abstract

A method for testing equality in validity of multi-component measuring instruments across populations is outlined. The approach is developed within the framework of covariance structure modelling and complements earlier research on examining group differences in scale reliability. The procedure is particularly useful for purposes of ascertaining comparability of validity when constructing and developing measuring instruments. The method also provides ranges of plausible values for differences in composite validity across several populations and allows one to evaluate group discrepancies in validity of behavioural scales. The approach is illustrated using data from a cognitive intervention study.

摘要

本文概述了一种用于检验多组分测量工具在不同人群中有效性是否相等的方法。该方法是在协方差结构建模的框架内开发的,是对早期关于检验量表信度组间差异研究的补充。该程序对于在构建和开发测量工具时确定有效性的可比性特别有用。该方法还提供了几个总体中综合效度差异的合理值范围,并允许评估行为量表效度的组间差异。使用一项认知干预研究的数据对该方法进行了说明。

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