Show Summary Details
Page of

(p. 153) Multilevel Structural Equation Modeling 

(p. 153) Multilevel Structural Equation Modeling
(p. 153) Multilevel Structural Equation Modeling

John P. Barile

Page of

PRINTED FROM OXFORD CLINICAL PSYCHOLOGY ONLINE ( © Oxford University Press, 2020. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Clinical Psychology Online for personal use (for details see Privacy Policy and Legal Notice).

date: 27 May 2020

Multilevel structural equation modeling (MSEM) offers many advantages over traditional regression approaches in understanding community-based data. MSEM techniques enable researchers to assess individual- and higher level data simultaneously, while minimalizing individualistic and ecological fallacies commonly present in evaluation and intervention research. An advanced statistical methodology such as MSEM is often required to understand the diverse web of ecological determinants of individual and community well-being. The chapter presents the basic tenets of MSEM and identify circumstances in which this approach is most appropriate. It concludes with a case example of the use of MSEM in an evaluation of community coalitions, in which data from multiple sources at both the individual and collaborative levels were utilized to better comprehend the processes and outcomes associated with successful collaboration.

Access to the complete content on Oxford Clinical Psychology requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can't find the answer there, please contact us.