2 day course on Latent Trait and Latent Class Analysis for Multi-Group Data using MPlus and R, 11 & 12 February 2013
Venue: Royal Statistical Society, London EC1Y 8LX
Presented by Jouni Kuha, Irini Moustaki and Sally Stares (London School of Economics)
Latent variable models are a broad family of models that can be used to capture abstract concepts by means of multiple (continuous and/or categorical) indicators. They are often best known in the form of factor analysis and structural equation models.
Day 1 of the course introduces participants to latent trait models (continuous latent variables) and latent class models (discrete latent variables) and Day 2 to multiple group latent trait and latent class analyses. The course provides training in the use of the Mplus programme to carry out the analyses.
Aimed at researchers interested in the use of cutting edge statistical methodology for analysing survey data from cross-sectional and for cross-national surveys.
For more information and to register, please visit http://www.rss.org.uk
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