Workshop: Intro to Latent Variable Modeling
Find out how SEM can improve the quality of your research and the likelihood it gets published! This workshop will explain two common types of structural equation modeling: CFA and general structural models (hypothesis-testing models with latent variables). Conceptual and statistical understanding will be emphasized in a non-technical presentation and then a guided application using Mplus.
Following successful completion of this workshop, participants will:
- Understand basic differences between SEM and conventional analysis approaches to measurement and hypothesis testing.
- Understand when and why it is appropriate to use latent variable modeling for testing the quality of social science measures.
- Know how to run and interpret the results of a simple confirmatory factor analysis using Mplus.
- Understand when and why it is appropriate to use latent variable modeling for testing social science hypotheses.
- Know how to run and interpret results of a simple model testing theoretical relationships among latent constructs using Mplus.
Natasha K. Bowen
Professor of Social Work
Associate Director, Research Methodology Center
Dr. Bowen has studied and taught SEM for many years. She is co-author of a user-friendly pocket guide on SEM that is part of a methods series published by Oxford University Press. Other publications describe studies using CFA to validate ordinal scales, the role of CFA in a mixed methods process of scale development, and methods for testing cross-group measurement invariance in Mplus. Her research area is social environmental assessment and intervention in schools.
Fees are payable with cash, check, or funds transfer