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Overview

This workshop will involve a mixture of interactive lecture-type sessions and practical examples using real-life epidemiological datasets in Mplus.

Summary

This workshop will involve a mixture of interactive lecture-type sessions and practical examples using real-life epidemiological datasets in Mplus. No prior knowledge of latent class analysis or Mplus is expected; however, attendees should have a basic understanding of the concept of using latent variables within psychological and social science research.

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About this course

In this section

About

Synopsis of the course

Many important concepts in the disciplines of psychology and other social sciences, for example personality, quality of life, or prejudice, cannot be directly observed (i.e. they are hidden or latent constructs). Researchers often attempt to measure these concepts using standardised questionnaires, which are assumed to be imperfect indicators of the latent construct of interest. These observed indicators are assumed to be caused by the latent variable; therefore, covariation among these observed measures is expected. The patterns of interrelationships among observed measures can be explored and analysed using latent variable modelling.

A number of latent variable models are used widely in the behavioural and social sciences – the most common of which is the factor analytic (FA) model. The main difference between the traditional FA model and the latent class (LC) model lies in the nature and distribution of the latent variable. For the FA model, the latent variable is continuous and normally distributed, whereas the LC model assumes as categorical latent variable with a multinomial distribution. Use of the LC model has mushroomed in recent years largely due to the increased tendency to collect data at either the nominal or ordinal level of measurement.

This workshop will involve a mixture of interactive lecture-type sessions and practical examples using real-life epidemiological datasets in Mplus.

Further information

No prior knowledge of latent class analysis or Mplus is expected; however, attendees should have a basic understanding of the concept of using latent variables within psychological and social science research.

Location: This one-day course will be held on Coleraine Campus, Ulster University.

If you have any queries about this course, please contact the course leader Dr James Houston at je.houston@ulster.ac.uk

Cancellation Policy
Cancellations made prior to Monday 7th August 2017: full refund less an administrative charge of £50.00.
Cancellations made between Monday 7th August and Monday 14th August: refund of fifty percent.
Cancellations made after Monday 14th August: no refund to be made..

Accommodation

Students can find information relating to accommodation at https://www.ulster.ac.uk/accommodation/forms-and-documents/summer-non-students.

If accommodation is unavailable please contact James Houston at je.houston@ulster.ac.uk.

A 15% discount will be given where the booking is for more than one short course.

Attendance

This one-day course will be held in Coleraine Campus, Cromore Road, Coleraine, BT52 1SA. (Room location TBC).

Date: Wednesday 13th September 2017
Time: 9.30 am - 4.30 pm

Entry requirements

No prior knowledge of latent class analysis or Mplus is expected; however, attendees should have a basic understanding of the concept of using latent variables within psychological and social science research.

Start dates

Apply

All applications and payments for short course programmes must be made online at http://store.ulster.ac.uk/

Start dates

Price and payment

In this section

Price

£150.00

Payment information

  • £150 (Full Fee)
  • £100 (Concessionary Fee for Unwaged/Students/Charitable Sector Workers - evidence will be required)
  • £127.50 (Full Fee booking with more than one course)
  • £85 (Concessionary Charge with more than one course)

Contact

For further information:

Email: FlexEd@ulster.ac.uk

Telephone: (+44) 028 9036 6680