Testing whether correlation matrices are different from each other.

James A. Green

76 citations0/0 files storedDevelopmental Psychology

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

Developmental psychologists use correlation matrices both as tools for summarizing the relations among sets of variables and as input to multivariate statistical procedures. This articles reviews methods for testing whether 2 or more correlation matrices are different from each other. Methods are illustrated for evaluating the similarity of 2 independent correlation matrices, such as those obtained from boys and girls, and 2 dependent correlation matrices, such as those obtained in longitudinal research by using multiple measures. Applications of the models to data from the published developmental litterature are provided

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References

1990Comparative fit indexes in structural models.1980Significance tests and goodness of fit in the analysis of covariance structures.1990Structural Model Evaluation and Modification: An Interval Estimation Approach 1987Practical Issues in Structural Modeling 1980Tests for comparing elements of a correlation matrix.1988Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size.1989Evaluation of goodness-of-fit indices for structural equation models.1984Life-Span Development and Behavior

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1995Sex Differences In Crime: Do Means and Within-Sex Variation Have Similar Causes?1994Developmental stability and change in parent reports of temperament: a ten-year longitudinal investigation from infancy through preadolescence 2003Cross-cultural differences in temperament in the first year of life: United States of America (US) and Russia 2004Testing Dependent Correlation Coefficients via Structural Equation Modeling 2005The Use of Emotion Explanations by Mothers: Relation to Preschoolers’ Gender and Understanding of Emotions

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