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Division 5 Workshops

Workshops

These are stand-alone workshops related to quantitative and qualitative methods. This list is for information purposes only. To add a workshop, contact the Div. 5 website coordinator, Alex Beaujean.

Dyadic Data Analysis for Cross-Sectional and Longitudinal Data

This workshop focuses on analyzing data from non-independent dyads, using multilevel modeling and growth curve modeling, including the Actor-Partner Interdependence Model. For more information, visit the event webpage.   

Location: Oklahoma State University, Stillwater, Oklahoma
May 16 and 17, 2021, 8:30 a.m.–4:30 p.m.
Instructor: Robert A. Ackerman 

Longitudinal S.E.M. with Mplus

This self-paced online workshop provides step-by-step instruction for a variety of longitudinal techniques in Mplus, including longitudinal confirmatory factor analysis and measurement invariance testing, latent change score, autoregressive and growth curve models, and trait change models. For more information and to enroll, visit the workshop website

Location: Online, on-demand 
Instructors: Christian Geiser

Multilevel Modeling with Mplus

This self-paced online workshop covers foundational techniques in multilevel modeling, including multilevel regression, grand mean and group mean centering, longitudinal growth models as multilevel models, and multilevel confirmatory factor analysis. No prior Mplus experience required. For more information and to enroll, visit the workshop website.

Location: Online, on-demand
Instructors: Christian Geiser 

The Pittsburgh Summer Methodology Series

All courses are offered in a synchronous virtual format. Visit the series webpage for more information.

Equity-Informed Measurement

June 6–8, 11 a.m.–3:30 p.m. 
Instructors: Matthew Diemer 

Designing Ambulatory Assessment Studies

June 9–10, 10:30 a.m.–3:30 p.m. 
Instructors: Aidan Wright

Introduction to Structural Equation Modeling 

June 21–23, 10:30 a.m.–3:30 p.m.
Instructors: Aidan Wright

Group Iterative Multiple Model Estimation (GIMME) 

June 27–28, 10:30 a.m.–3:30 p.m.
Instructors: Katie Gates

Longitudinal Structural Equation Modeling

July 6–7, 10:30 a.m.–3:30 p.m. Instructors: Aidan Wright

Multilevel Modeling for Longitudinal Data

July 19–21, 10:30 a.m.–3:30 p.m.
Instructors: Aidan Wright

Introduction to R for Social Scientists

July 25–27, 10:30 a.m.–3:30 p.m. Instructors: Jeffrey Girard

SMART Clinical Trial Design

August 3–4, 1:00 p.m. – 5:00pm
Instructors: Kelley Kidwell

Applied Machine Learning in R

August 8–11, 10:30 a.m.–3:30 p.m.
Instructors: Jeffrey Girard and Shirley Wang

Latent Profile Analysis

August 15–17, 10:30 a.m.–3:30 p.m.
Instructors: Sara K. Johnson

Last updated: March 2022Date created: February 2018