Introduction to Latent Class Analysis

Course Code

HUB-10-15/16-P-R

Organised by

NCRM, University of Southampton

Presenter

Dr Alexandru Cernat

Date

15/09/2016 - 16/09/2016

Venue

Queens University, McClay Library, College Park Avenue, Belfast

Map

View in Google Maps  (BT7 1LQ)

Contact

Jacqui Thorp
Training and Capacity Building Co-ordinator
NCRM, University of Southampton
Tel: 023 80594069
Email: jmh6@soton.ac.uk

Description

Latent Class Analysis (LCA) is a branch of the more General Latent Variable Modelling approach. It is typically used to classify subjects (such as individuals or countries) in groups that represent underlying patterns from the data. In addition to this application LCA provides a flexible framework that can be used in a wide range of contexts: in longitudinal studies (e.g., mixture latent growth models, hidden Markov chains), in evaluation of data quality (e.g., extreme response style, cross-cultural equivalence), non-parametric multilevel models, joint modelling for dealing with missing data.

In this course you will receive an introduction to the essential topics of LCA such as: what is LCA, how to run models, how to choose between alternative models, how to classify observations, how to evaluate and predict classifications. You will also apply this knowledge to a number of more advanced models that look at the relationship between latent class variables and at longitudinal data.

The course covers:

  • Refresher of basic concepts in categorical analysis: (marginal) probability, odds ratios, logistic regression;
  • Basic concepts and assumptions of latent class analysis;
  • Introduction to Latent GOLD software;
  • Model fit evaluation: global, local and substantive evaluation;
  • Classification of cases;
  • Apply these concepts to a number of models looking at: predicting class membership, relationships between latent classes, hidden Markov chains.

By the end of the course participants will:

  • Know what is Latent Class Analysis;
  • Be able to estimate and interpret results from Latent Class Analysis;
  • Be able to choose between alternative Latent Class Models;
  • Understand latent class classification and how to predict it;
  • Be able to investigate the relationship between latent class variables.

A knowledge of basic categorical analysis: (marginal) probabilities, odds ratios, logistic regression is advised.

Level

Entry (no or almost no prior knowledge)

Cost

The fee per teaching day is:

• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

Website and registration

Region

Northern Ireland

Keywords

Latent Variable Models, Latent class analysis, Latent GOLD , Classification , Categorical Data Analysis

Related publications and presentations

Latent Variable Models
Latent class analysis

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