Welcome: Latent Variable Models  

This web resource contains materials on training in latent variable modelling based on a summer school and master class workshops for research students and researchers in Northern Ireland. The summer school provided general training in multivariate analysis using latent variable modelling. Although the summer school was comprehensive in its coverage, there were some statistical issues that benefited from more focused training, such as the treatment of missing data and longitudinal analysis. Training in these topics was provided by a series of master classes that were highly focused workshops delivered by experts in the field.

Objectives

This project was supported by the Economic & Social Research Council (ESRC) through the Research Development Initiative (RDI). It aims to provide advanced quantitative training for the region of Northern Ireland through collaboration between the University of Ulster and the Queens University of Belfast. 

Authors

Professor Mark Shevlin

Dr Gary Adamson

Dr Martin Dempsey

Original Project

The original project aimed to provide training in latent variable modelling based on a summer school and master class workshops for research students and researchers in Northern Ireland. The summer school was supposed to provide general training in multivariate analysis using latent variable modelling. Although the summer school remained comprehensive in its coverage, there were some statistical issues that would have benefited from more focused training, such as the treatment of missing data and longitudinal analysis. Training in these topics was provided by a series of master classes that were highly focused workshops delivered by experts in the field.

Quick Summary

The main objectives were to:

  1. Provide high quality training and support in advanced multivariate statistical modelling in a latent variable framework.
  2. Provide a series of Master Classes addressing state of the art analytical techniques.
  3. Develop and maintain a range of online learning and support resources.
  4. Inform researchers and research students on the availability, access, and use of archived datasets.
  5. Increase awareness of current developments in quantitative statistical analysis of social science data.

Classification

Observation :: Exploratory Research :: Collaborative Approaches :: Mixed Methods :: Statistical Disclosure Control ::

ReStoration date

This web resource has been restored on:2013-07-02

Last updated:

This web resource has been updated on:2013-09-11