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

2-DAY SHORT COURSE: 

Please RSVP separately for each day

October 27, 2016
1:30 pm – 5:30 pm
Room 1620
Dana Building
CatalystBiostat@hsph.harvard.edu

October 28, 2016
8:30 am – 12:00 pm
506 Minot Room
Countway Library
CatalystBiostat@hsph.harvard.edu 

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.

Topic	Content	Time Allocation (minutes)	Speaker
Oct. 27, 2016 (12:30-4:30PM)
Grand Overview	Importance of measurement; concept of latent variables, construct development and validation	60	KBR
Measurement Model
Reliability	Classical test theory, Test-retest, internal consistency reliability	30	QLX
Validity	Face, content, criterion, construct validity	45	QLX
[Intermission]		15
Factor analysis	Exploratory and confirmatory factor analysis	45	QLX
Latent class analysis	Model conceptualization, selection, assumptions, checking, interpretation	45	KBR
Oct. 28, 2016 (8:30AM-12PM)
Measurement Model (Cont.)
Examples	Factor analysis; Latent class analysis	90	QLX/KBR
Structural Model
Latent class regression	Model conceptualization, selection, assumptions, checking, interpretation	30	KBR
[Intermission]		15
Examples	Latent class regression Latent growth curve Mixture growth curve	60	KBR QLX
Summary	Recap, take-home messages, current developments	15	KBR