Structural Equation Modelling and Longitudinal Data Analysis with Mplus (2, 3 or 6-days)

Date:

29/09/2014 - 04/10/2014

Organised by:

The Psychometrics Centre, University of Cambridge

Presenter:

Dr Arielle Bonneville-Roussy
Dr Gabriela Roman

Level:

Entry (no or almost no prior knowledge)

Contact:

Arielle - ab896@cam.ac.uk
Gabriela - gdp27@cam.ac.uk

Map:

View in Google Maps  (CB2 3RQ)

Venue:

Seminar Room (1st floor)
University of Cambridge
Free School Lane
University of Cambridge
Cambridge

Description:

These mix and pick courses provide an introduction to various aspects of Structural Equation Modelling (SEM) using the Mpluspackage. They will be of interest to absolute beginners with no or little prior knowledge. Basic concepts of SEM and a general introduction to Mplus will be given on the first day.  The topics covered are: 

  • General SEM (including mediation and moderation analysis)
  • Exploratory and confirmatory factor analysis (EFA and CFA)
  • The examination of measurement equivalence and DIF
  • Latent growth curve models and latent growth class analysis/mixture models.

 No prior knowledge of these topics or of Mplus itself is assumed. However, if you are not familiar with Mplus you will need to take the first day in order to cope with the remainder of the course. On completion, participants should have an understanding of the topics covered and be able to conduct structural equation modelling in Mplus. Sandwich lunch and coffee will be provided at times specified in the schedule. Participants should bring their laptop computers with them.

Cost:

Full 6 day course
Business: £800
Academics: £600
Students: £450

Any 3 days
Business: £600
Academics: £400
Students: £300

Any 2 days
Business: £350
Academics: £250
Students: £175

Website and registration:

Region:

East of England

Keywords:

Longitudinal Research , Longitudinal Data Analysis, Latent Variable Models, Structural equation models

Related publications and presentations:

Longitudinal Research
Longitudinal Data Analysis
Latent Variable Models
Structural equation models

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