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.
Resources
Division 5 Workshops
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