RMME is seeking qualified instructors to teach graduate-level courses in Research Methods, Educational Measurement, Quantitative Methods, and Evaluation. Connecticut residents are especially encouraged to apply! Interested candidates should apply here.
RMME/STAT Joint Colloquium
Bayesian Longitudinal (Non)Linear Mediation Models
Dr. Nidhi Kohli
University of Minnesota, Twin Cities
Friday, May 2, at 11 AM ET
https://tinyurl.com/rmme-Kohli
This study develops Bayesian (non)linear random effects mediation models (B(N)REMM) to directly estimate both linear and nonlinear longitudinal mediation effects, overcoming limitations in existing structural equation modeling (SEM) approaches. We propose two models: a linear trend model (L-BREMM) and a segmented trend model using linear-linear piecewise functions with random changepoints (P-BREMM). We also examine the impact of omitting confounders in (non)linear mediation models using data from the Early Childhood Longitudinal Study-Kindergarten Cohort (ECLS-K). Furthermore, we extend this framework to develop Bayesian (nonlinear) growth mixture mediation models (B(N)GMMM), which assess heterogeneous treatment effects (HTE) of the intervention variable X on the longitudinal dependent variable Y, mediated by longitudinal variable M. To evaluate the robustness of these methods, we conducted a comprehensive Monte Carlo simulation study for all the models.
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Members of the RMME Community present at the 2025 annual meetings of the American Educational Research Association (AERA) and the National Council on Measurement in Education (NCME)! Be sure to check out all of this outstanding RMME Community work in Denver, Colorado, from Tuesday, April 22, through Sunday, April 27–we look forward to seeing you all there!
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