Next course delivery: January to April, 2025
This course is now available to individuals residing outside of Canada. Please contact Program Coordinator, Ann Greenwood at scicoord@uvic.ca or 250-721-8627 for more information.
Course description
This fully online course will provide you with an introduction to—and hands-on experience including the use of a Secure Remote Training Lab — specifying multi-level modeling and longitudinal analysis. You will gain an understanding of different types of approaches including:
- time varying and invariant predictors
- multivariate and multi-population models with different outcomes
- missing data, errors in measurement and measurement misclassification
This course is designed to serve the needs of researchers who will analyze and model longitudinal data in population health research.
Learning objectives
- Define the methodological features of longitudinal data analysis.
- Describe fundamental concepts and issues in multi-level modeling.
- Identify different analytical approaches to longitudinal data analysis and specify their strengths and limitations.
- Use Mplus statistical modeling program to perform longitudinal data analyses in population health research.
- Develop and practice longitudinal model specification, estimation, evaluation, and modification skills.
- Interpret and evaluate findings in longitudinal population health research.
Prerequisites
- Admission to the PSC in Population Health Data Analysis or permission of the Faculty Advisor.
- Be comfortable with basic SAS programming (e.g., DATA step and procedures). Familiarity with Mplus will also be helpful.
- Be comfortable with linear regression models. Familiarity with generalized linear models such as logistic regression will also be helpful.
Instructor: Stacey Voll
Over 24 years at UVic, her academic work foci has been in International Population Health Data Science, Research/Project Management and Psychometrics. Her research involves examination of meta-data systematics in longitudinal designs and methods such as, complex sampling, impacts of age-period-cohort effects, cognitive measurement and culturally relevant research tools. At UVic, she has taught learning/development theories, measurement/evaluation, psychological/educational diagnostics and statistics for statistically-anxious post-secondary students. She holds positions as research associate at UVic’s Institute of Lifelong Health & Aging and a as clinical psychometrician at Queen Alexandra Centre for Children’s Health.
This program has been developed by Population Data BC in partnership with the Division of Continuing Studies, University of Victoria.
For further details, visit the Division of Continuing Studies webpage.
