UPDF AI

Structural Equation Modeling

Chandan Singh,J. S. Khamba

2019 · DOI: 10.1201/9780429486302-7
82 Citations

TLDR

This chapter discusses structural contingency theory revisited, which addressed main effects versus interactions in Child’s National Study of Manufacturing and Service Sectors, and the concept of fit in contingency theory.

Abstract

The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Oftentimes, confirmatory factor analysis and general structure modeling are the most flexible, powerful, and appropriate choices for social work data.