Methods Workshop
2024 Methods Workshop
Examining Heterogeneity with Mixture Models
This workshop will focus on mixture modeling with an emphasis on application. We will begin our discussion latent class analysis for categorical observed variables and its counterpart for continuous observed variables, latent profile analysis. We will compare and contrast these mixture modeling approaches to cluster analysis, another method for finding groups in data. We will then turn our attention to latent transition analysis, which is designed for finding mixtures in longitudinal data. Finally, we will consider mixture models that identify population subgroups based on model parameters from regression analyses and factor analysis. Participants will be provided with computer code to carry out these analyses using R and Mplus, as well as the example datasets.
June 3rd 1:00 pm to 5:00 pm & June 4th 8:30am to 12:30pm
In-person in Pullman (room TBD) and available on Zoom for other campuses
Presented by the Learning Performance Research Center and Educational Psychology program
Presenter: Dr. Holmes Finch
Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Prior to coming to Ball State in 2003, Holmes managed the Statistical Consulting Laboratory at the University of South Carolina. His research focuses on latent variable modeling, latent class analysis, and robust statistics.
Dr. Finch has published over 200 articles, books, chapters, and software making contributions to both applied and methodological literatures in measurement, statistics and beyond. Outlets include Structural Equation Modeling, Applied Psychological Measurement, Multivariate Behavioral Research Educational and Psychological Measurement, and on and on. Dr. Finch has won many awards including (a) Outstanding Faculty Award, Ball State University, (b) Outstanding Service Award from the Structural Equation Modeling Special Interest Group of the American Educational Research Association, (c) Outstanding Research Award, Ball State University, (d) Best paper of the year award, (e)The American Psychological Association, Division 5 Anne Anastasi Early Career Award, (f) The Outstanding Faculty Research award, Ball State University. He is a fellow of the American Psychological Association, and the American Education Research Association. He serves on many editorial boards in top journals, has conducted many training workshops, and enjoys thinking critically about methods and statistics.
Cost
FREE registration sponsored by the Berry Family Distinguished Professorship, Learning and Performance Research Center, and Educational Psychology program
Registration includes workshop, course materials, and refreshments (in-person)
- 2023 – Gregory Hancock, University of Maryland – Structural Equation Modeling Methods for Longitudinal Data
- 2022 – Tracy Sweet, University of Maryland – An Introduction to Machine Learning for the Social Sciences
- 2021 – Tenko Raykov, Michigan State University – Longitudinal Modeling and Missing Data Analysis
- 2019 – Matthew McCrudden, Pennsylvania State University – Mixed Methods
- 2018 – Gregory Hancock, University of Maryland – Latent Growth Curve Modeling
- 2017 – Roy Levy, Arizona State University – Foundations of Bayesian Statistical Modeling
- 2016 – Todd D. Little, Texas Tech University – Measurement, design, and analysis issues in longitudinal modeling with a particular focus on the longitudinal CFA model as the basis for both panel and latent growth curve modeling.
- 2015 – Gregory Hancock, University of Maryland – Second Course in Structural Equation Modeling
- 2014 – Bethany Bray, Pennsylvania State University – An Introduction to Latent Class and Latent Profile Analysis
- 2013 – Gregory Hancock, University of Maryland – A First Course in Structural Equation Modeling