A Method for Comparing Completely Standardized Solutions in Multiple Groups

被引：64

作者：

Raykov, Tenko ^{[1
]}

Marcoulides, George A. ^{[2
]}

机构：

[1] Fordham Univ, Dept Psychol, Bronx, NY 10458 USA

[2] Calif State Univ Fullerton, Dept Management Sci, Fullerton, CA 92634 USA

来源：

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL | 2000年 / 7卷 / 02期

关键词：

Aging studies - Cognitive aging - Correlation distribution - Correlation structure - Equal sizes - Multiple-group - Scale invariant - Standard errors;

D O I：

10.1207/S15328007SEM0702_9

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

A method for comparing completely standardized solutions in multiple groups is outlined. It is based on a correlation structure analysis of equal-size samples and uses the correlation distribution theory implemented in the program RAMONA. Unlike the common metric completely standardized solution, the approach yields parameter standard errors and can be applied to scale-invariant models as well as to models that do not exhibit this property. The method is illustrated on a 2-group cognitive aging data set from the Berlin Aging Study.

引用

页码：292 / 308

页数：17

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