Harvard Catalyst 2-Day Short Course – RSVP Now

Harvard Catalyst | The Harvard Clinical & Translational Science Center Biostatistics Program
Short Course Announcement

Latent Variable Modeling and Measurement 

Karen Bandeen-Roche, PhD
Hurley-Dorrier Professor and Chair
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health

Qian-Li Xue, PhD
Associate Professor of Medicine and Biostatistics
Johns Hopkins Medical Institutions


Please RSVP separately for each day

October 27, 2016
1:30 pm – 5:30 pm
Room 1620
Dana Building

October 28, 2016
8:30 am – 12:00 pm
506 Minot Room
Countway Library

This short course introduces latent variable modeling with a primary focus on quantitative approaches to complex measurement and a secondary focus on regression (“structural” modeling).  Following an overarching introduction to latent variable modeling, topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; exemplification of structural modeling via latent class regression, latent growth curve, and mixtures-of-growth-curves analysis. Model specification, fitting, identification, diagnosis and pitfalls are discussed. Substantial time will be devoted to software introduction (SAS, Mplus) and application to examples in the clinical sciences (e.g. physical and cognitive impairment and disability). Upon successfully completing this course, students will be able to read and evaluate scientific articles as regards measurement in health; and interpret, and begin fitting, latent variable models, including factor analyses, latent class analyses, and latent class regression analyses.