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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
