Structural Equation Modelling Using Mplus
|Starts:||14 Mar 2018|
|Ends:||16 Mar 2018|
|What is it:||Short course|
|Organiser:||Cathie Marsh Institute for Social Research|
|Venue opening hours:||9:45am - 4:30pm|
|How much:||£195 (£140 for those from educational, government and charitable institutions)
/ CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.|
|Who is it for:||University staff, Adults, Current University students|
|Speaker:||Dr Nick Shryane|
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
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
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
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
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.
Price: £195 (£140 for those from educational, government and charitable institutions)
Concessions: CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.
Travel and Contact Information
Humanities Bridgeford Street