Training and Events
Structural Equation Modelling Using Mplus
|The Cathie Marsh Institute, University of Manchester|
Dr Nick Shryane
14/03/2018 - 16/03/2018
The Cathie Marsh Institute
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).
Intermediate (some prior knowledge)
£585 (£420 for those from educational, government and charitable institutions).
Website and registration
Multilevel models, Regression Methods, Linear regression, Log-linear regression, Logistic regression, Structural equation models, Simultaneous equations models, Quantitative Software, Mplus, Structural Equation Modelling , MPlus
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