Training and Events
An Introduction to Latent Variable Modelling
Professor Mark Shevlin
09/09/2019 - 10/09/2019
View in Google Maps (BT52 1SA)
.Synopsis of the course
This short-course provides an introduction to latent variable modelling – an ever increasingly used approach in the behavioural and social sciences. The short-course covers many of the major features of latent variable models including confirmatory factor analysis, path analysis (with and without error) and modelling the relationships between latent variables. The historical and statistical foundations of latent variable models will be detailed, with particular attention paid to the issues of measurement, specification, estimation and interpretation of models. We will demonstrate how latent variable models offer an extremely flexible framework for statistical analysis and one that allows complex hypotheses to be tested.
It is expected that participants will have some knowledge of different variable types (nominal, ordinal, etc.), descriptive statistics and a working knowledge of hypothesis testing prior to taking the course. An understanding of regression and correlation would be a benefit.
Intermediate (some prior knowledge)
Fees (including lunch and refreshments)
Website and registration
Quantitative Data Handling and Data Analysis
Related publications and presentations