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Analysis of Multiple Dependent Variables$
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Patrick Dattalo

Print publication date: 2013

Print ISBN-13: 9780199773596

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199773596.001.0001

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Choosing among Procedures for the Analysis of Multiple Dependent Variables

Choosing among Procedures for the Analysis of Multiple Dependent Variables

Chapter:
(p.149) 6 Choosing among Procedures for the Analysis of Multiple Dependent Variables
Source:
Analysis of Multiple Dependent Variables
Author(s):

Patrick Dattalo

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199773596.003.0006

This chapter summarizes similarities and differences between multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM). It offers suggestions to guide their differential use. It also compares and contrasts MANOVA and MANCOVA versus MMR, MANOVA and MANCOVA versus SEM, and MMR versus SEM.

Keywords:   multivariate analysis of variance, MANOVA, multivariate analysis of covariance, MANCOVA, multivariate multiple regression, MMR, structural equation modeling, SEM

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