Training and Events
Structural Equation Modelling Using Mplus
|Cathie Marsh Institute|
Dr Nick Shryane
04/03/2020 - 06/03/2020
Humanities Bridgeford Street
View in Google Maps (M13 9PL)
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.
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
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.
Intermediate (some prior knowledge)
Website and registration
Latent Variable Models, Structural equation models, Quantitative Software, Mplus
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