Structural equation modeling

Publication Type

Book Chapter

Publication Date

12-2017

Abstract

Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communication research are confirmatory factor analysis (CFA) and path analysis. Confirmatory factor analysis specifies one or more unobserved constructs, or latent factors, that a number of observed indicators define. This analysis is useful for validating the composition of multiple-item indices or scales. The other common use of SEM, path analysis, estimates correlation and regression paths among structural nodes, which may include both observed variables and latent factors.

Discipline

Communication | Critical and Cultural Studies

Research Areas

Integrative Research Areas

Publication

SAGE Encyclopedia of Communication Research Methods

Editor

M. Allen

First Page

1683

Last Page

1687

ISBN

9781483381411

Identifier

10.4135/9781483381411.n594

Publisher

SAGE

City or Country

Thousand Oaks

Additional URL

https://doi.org/10.4135/9781483381411.n594

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