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Title: The Basics of Structural Equation Modeling
Resulting in 1 citation.
1. Suhr, Diana D.
The Basics of Structural Equation Modeling
Presented: Irvine, CA, SAS User Group of the Western Region of the United States (WUSS), September 2006.
Also: http://www.lexjansen.com/wuss/2006/tutorials/TUT-Suhr.pdf
Cohort(s): Children of the NLSY79
Publisher: SAS Institute Inc.
Keyword(s): Methods/Methodology; Modeling; Modeling, Growth Curve/Latent Trajectory Analysis; Statistical Analysis; Statistics

Permission to reprint the abstract has not been received from the publisher.

Structural equation modeling (SEM) is a methodology for representing, estimating, and testing a network of relationships between variables (measured variables and latent constructs). This tutorial provides an introduction to SEM including comparisons between “traditional statistical” and SEM analyses. Examples include path analysis/ regression, repeated measures analysis/latent growth curve modeling, and confirmatory factor analysis. Participants will learn basic skills to analyze data with structural equation modeling. (This is designed as a tutorial.)
Bibliography Citation
Suhr, Diana D. "The Basics of Structural Equation Modeling." Presented: Irvine, CA, SAS User Group of the Western Region of the United States (WUSS), September 2006.