Latent Variable Modeling

Date: 
Monday, September 23, 2013
Event type: 
Course

This five-day intensive course will focus on the practical application of latent variable modeling with specific applications for health and social science researchers. Mornings will consist of a series of lectures and computer demonstrations covering the theory and practice of latent variable modeling methods. Afternoons will include hands-on applications of specific data analysis techniques. Participants will learn how to apply specific modeling methods in the development of instruments, measures and survey designs. Topics include: factor analysis (FA) including item response models via FA, multi-group FA, and mixture latent class models.

> download flyer | 134kb pdf

September 23 - September 27, 2013
9am to 4pm daily
Neville Scarfe Building, Room 310, UBC, Vancouver, BC

Instructor: Professor Bruno Zumbo, Measurement, Evaluation, Research Methodology Program and Department of Statistics, University of British Columbia

Professor Zumbo has research experience in both theoretical and applied psychometrics and statistical science. His research interests include procedures for evaluating variable importance in statistical models; performance characteristics of standard procedures (both parametric and nonparametric) under non-standard conditions; measurement theory (including axiomatic measurement theory, classical test theory and item response modeling), educational measurement and the foundations of statistics. He has developed a secondary research program on measurement, program evaluation and methodological issues in quality of life, subjective well-being and social science research.

Prerequisites

This is an intermediate to advanced course therefore participants will be expected to have some introductory knowledge of Structural Equation Models and software. Previous knowledge/work in measurement theory is helpful but not required.

Additional materials/software requirements

15 laptops with Windows XP and Mplus software are available for participant use.

Please book upon registration.  If you are bringing your own laptop, you’ll need to have Mplus software loaded.

Who should attend?

Graduate students, researchers and faculty in the health and social sciences as well as epidemiologists and healthcare professionals interested in developing and applying statistical modeling in their work.

Fees

$850 regular rate
$750 graduate student rate – limited seating
Group rates available - ask for details

Includes refreshment breaks each day; participants are responsible for their own lunches.

Enrollment is limited so register early to avoid disappointment.

To register, or for further details, contact:
Ann Greenwood
Lead, Education and Training Unit
Population Data BC
Email: ann.greenwood@popdata.bc.ca
Phone: 250-853-3285


Page last revised: June 10, 2014