A Method for Comparing Completely Standardized Solutions in Multiple Groups
- 1 June 2000
- journal article
- Published by Taylor & Francis in Structural Equation Modeling: A Multidisciplinary Journal
- Vol. 7 (2) , 292-308
- https://doi.org/10.1207/s15328007sem0702_9
Abstract
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.This publication has 9 references indexed in Scilit:
- A systemic-wholistic view of psychological functioning in very old age: Introduction to a collection of articles from the Berlin Aging Study.Psychology and Aging, 1997
- Specification and Estimation of Mean- and Covariance-Structure ModelsPublished by Springer Nature ,1995
- Two Wrongs May Not Make a RightMultivariate Behavioral Research, 1995
- Measurement invariance, factor analysis and factorial invariancePsychometrika, 1993
- Speed and intelligence in old age.Psychology and Aging, 1993
- Structural Equations with Latent VariablesPublished by Wiley ,1989
- Analysis of correlation matrices using covariance structure models.Psychological Bulletin, 1989
- Linear Statistical Inference and its ApplicationsPublished by Wiley ,1973
- Simultaneous factor analysis in several populationsPsychometrika, 1971