Structural Equation Modelling Using Mplus

Description:

Outline

Structural Equation Models (SEM) amalgamate regression analysis, path/mediation analysis and factor analysis, allowing for more richly detailed statistical models to be specified and compared to data than by using these techniques individually.

Historically, SEM models were confined to the analysis of continuous observed data, limiting their usefulness in applied social research, where many phenomena are inherently discrete or are measured only with coarse-grained instruments.

Advances in recent years have made available SEM methods for categorical data to applied researchers. This course covers both linear SEM and generalized SEM for non-continuous outcomes, as well as models with non-continuous latent variables, i.e. latent classes.

Objectives

This course aims to train quantitative social scientists to use the Mplus programme in the application of structural equation modelling techniques to continuous and non-continuous observed data.

The course also aims to integrate approaches that assume latent dimensions of variation (eg factor analysis) with approaches that assume unobserved groups or categories (eg latent class analysis).

Provisional Course Syllabus

Day 1

• Session 1: Introducing Mplus
• Session 2: Regression models for binary categorical data
• Session 3: Path Analysis I: continuous dependent variables
• Session 4: Path Analysis II: categorical dependent variables

Day 2

• Session 5: Continuous latent variables I: Modelling continuous observed data: Factor Analysis
• Session 6: Continuous latent variables II: Modelling binary observed data: Item-Response
• Session 7: Structural Equation Modelling
• Session 8: Multi-group Structural Equation Modelling

Day 3

• Session 9: Categorical latent variables I: Mixture Models
• Session 10: Categorical latent variables II: Latent Class and Latent Profile Analysis
• Session 11: Repeated measures modelling I: autoregressive and cross-lagged panel models
• Session 12: Repeated measures modelling II: linear and non-linear growth models

Prerequisites

Participants should be experienced users of linear and binary logistic regression or probit regression. No previous experience of SEM models or the Mplus programme is required.

Cost:

£585/£420/£180

Website and registration:

https://www.cmi.manchester.ac.uk/study/short/intermediate/structural-equation-modelling/

Region:

North West

Keywords:

Latent Variable Models, Structural equation models, Quantitative Software, Mplus

Related publications and presentations:

Latent Variable Models
Structural equation models
Quantitative Software
Mplus

Back to archive...