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Structural Equation Models (SEM): An Introduction

Ms. Zunia Tirmazee, Ms. Maryiam Haroon and Ms. Nida Jamil (Senior Teaching and Research Fellow, Lahore School of Economics) conducted a session on "Structural Equation Models: An Introduction" on December 15, 2017. This session was conducted in the Economics Faculty Development Workshop, Winter Term 2017.

SEM is a powerful technique that can combine complex path models with latent variables (factors). Using SEM, researchers can specify confirmatory factor analysis models, regression models, and complex path models. In this session, the facilitators discussed the basic elements of a structural equation model, the estimation technique, which is most often maximum Likelihood (ML), and some problems concerning the assessment and improvement of the model fit, and model extensions to multi group problems including factor means. The facilitators also shared some of the software, a list of useful handbooks and Internet sites.

An Introduction to Structural Equation Modeling (PDF Download Available)

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