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Stats Camp Course Offerings:
View All Upcoming Statistical Methods Training Camps at StatsCamp.org
Applied Latent Class Analysis (LCA) Course
– Instructor, Katherine Masyn, Ph.D.
This is an intermediate 3-day course introducing latent class analysis with categorical, cross-sectional data using Mplus.
Bayesian Data Analysis Course
– Instructor, Mauricio Garnier-Villarreal, Ph.D.
An introductory 3-day course about Bayesian Data Analysis, focus on the differences to the frequentist approach, and application of several models
Item Response Theory (IRT) Course
– Instructor, Steve Reise, Ph.D.
This is an introductory 3-day course introducing item response theory measurement models applied to psychological and educational data.
Equation Modeling (SEM) Course
– Instructor, Todd Little, Ph.D.
This is an intermediate 3-day Stats Camp course introducing Longitudinal Structural Equation Modeling.
Missing Data Analysis Course
– Instructor, Craig Enders, Ph.D.
This is an intermediate 3-day course introducing multiple imputation and maximum likelihood estimation for missing data.
– Instructor, Larry Price, Ph.D.
This is an introductory 3-day course in the foundations of psychometrics. Participants should be proficient specific to the material covered in a two-semester graduate-level social science statistics course sequence.