ABSTRACT

Brief Introduction to Structural Equation Modeling   [open pdf - 392KB]

This article on Post-Traumatic Stress Disorder (PTSD) presents an overview and analysis of Structural Equation Modeling (SEM). "From the article: Structural equation modeling (SEM) is a collection of statistical procedures that elucidate the bases or foundations underlying relationships among observed variables. The methodology--as we know it today--derives primarily from the work of psychometrician Karl Jöreskog and his associates. In the late 1960s and early 1970s, Jöreskog developed a representation for analyzing the structures governing matrices of covariances among observed variables, the 'analysis of covariance structures' (Jöreskog, 1970), commonly referred to as the 'LISREL [Linear Structural Relations] Model.' This representation has two components: a measurement component and a structural component. The measurement component reflects relationships between latent variables, constructs, or factors and their manifest indicators or observed variables. It has been dubbed 'confirmatory factor analysis' since it allows for an evaluation of a hypothesized factor solution. The structural component reflects relationships among the latent variables, constructs, or factors themselves. [...] We have referenced some SEM texts and edited volumes that should provide a good understanding of the methodology, as well as several SEM software packages. Lawrence Erlbaum Associates publishes Structural Equation Modeling: A Multidisciplinary Journal, which features new developments in SEM, applications of the methodology, and commentaries on software innovations. Finally, one may wish to access Internet resources."

Author:
Publisher:
Date:
1997
Copyright:
Public Domain
Retrieved From:
National Center for PTSD: http://www.ptsd.va.gov/
Format:
pdf
Media Type:
application/pdf
Source:
PTSD Research Quarterly (Fall 1997), v.8 no.4
URL:
Help with citations