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(p. 153) Multilevel Structural Equation Modeling 

(p. 153) Multilevel Structural Equation Modeling
Chapter:
(p. 153) Multilevel Structural Equation Modeling
Author(s):

John P. Barile

DOI:
10.1093/med:psych/9780190243654.003.0016
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date: 23 September 2019

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.

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