Structural Equation Modelling (Intensive)

This intensive one-day course on structural equation modelling will provide an introduction to SEM using the statistical software Stata. The aim of the course is to introduce structural equation modelling as an analytical framework and to familiarize participants with the applications of the technique in the social sciences. The theoretical introduction will be accompanied by practical examples based on real, publicly-available data. Topics will also include:

• Introduction to the general principles of SEM
  
• Latent variables, measurement models, and confirmatory factor analysis
  
• Path analysis and mediation analysis, with practical application in Stata
  
• Confirmatory factor analysis and latent variable models

• No prior knowledge of SEM is assumed, and only a basic familiarity with Stata (or any other command-based statistical software) is needed.
• Students should have an understanding of the principles of multivariate regression
• Background reading (see below)

Number of sessions: 2

• Schumacker, R.E. & Lomax, R.G. (fourth edition, 2016, but other editions OK) A beginner's guide to structural equation modelling [Chapters: 1 (Introduction), 5 (Path Models) and 6 (Factor Analysis).]

The text is a particularly accessible introduction to SEM. It contains examples in a variety of software packages, although not in Stata ©; students should focus on understanding the concepts of the technique rather than software issues in preparation for the course. Chapters 1, 5, and 6 provide the core concepts of structural equation modeling, and are required reading for everyone enrolling on the course. Students who are less confident about their background in quantitative data aanalysis may want to also read Chapters 2 (Data Entry and Edit Issues), 3 (Correlation) and 4 (Regression Models).

Online multiple-choice test

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