An introduction to latent variable modelling
Date:
11/09/2023 - 12/09/2023
Organised by:
Ulster University
Presenter:
Professor Mark Shevlin
Level:
Intermediate (some prior knowledge)
Contact:
Description:
This course provides students with an introduction to latent variable modelling – an ever increasingly used approach in the behavioural and social sciences.
The 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.
The course will demonstrate how latent variable models offer an extremely flexible framework for statistical analysis and one that allows complex hypotheses to be tested.
Some extensions to the basic latent variable model will be introduced, such as multiple group analysis, MIMIC models, and the application of model constraints.
The course will be delivered by means of lectures and hands-on practical work. The final session of each day will include a question and answer session with the opportunity for everyone to discuss their research interests and their own data structures.
Cost:
Student: £220; Educational/charitable sector: £330; Government/commercial sector: £400
Website and registration:
Region:
Northern Ireland
Keywords:
Frameworks for Research and Research Designs, Quantitative Data Handling and Data Analysis
Related publications and presentations:
Frameworks for Research and Research Designs
Quantitative Data Handling and Data Analysis