Jump to ContentJump to Main Navigation
Analysis of Multiple Dependent Variables$
Users without a subscription are not able to see the full content.

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

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 17 April 2021

Multivariate Multiple Regression

Multivariate Multiple Regression

(p.87) 4 Multivariate Multiple Regression
Analysis of Multiple Dependent Variables

Patrick Dattalo

Oxford University Press

Multivariate multiple regression (MMR) is used to model the linear relationship between more than one independent variable (IV) and more than one dependent variable (DV). MMR is multiple because there is more than one IV. MMR is multivariate because there is more than one DV. This chapter begins with an introduction to building and refining linear regression models. The remaining discussion focuses on the MMR procedure, and is organized as follows: estimating multivariate regression parameters; testing the omnibus hypothesis; assessing overall model fit; testing composite hypotheses; model validation; sample size requirements; strengths and limitations of MMR; annotated example; reporting the results of a MMR analysis; results of the annotated example; and additional examples from the applied research literature. MMR is demonstrated with Stata. References to resources for users of SPSS and SAS also are provided.

Keywords:   MMR, independent variables, dependent variables, statistical analysis, Stata

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .