Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 24 - Recent Advances in Causal Analyses That Tell the Story of Complex Mediation Mechanisms
Type: Topic-Contributed
Date/Time: Sunday, August 8, 2021 : 1:30 PM to 3:20 PM
Sponsor: Biometrics Section
Abstract #317367
Title: Some Applications of Causal Mediation Analysis and Discrepancies with Traditional Mediation Analysis
Author(s): David Peter MacKinnon* and Matthew Valente and Diana Alvarez Bartolo
Companies: Arizona State University and Florida International University and Arizona State University
Keywords: Causal Methods; Third-variable; Mediation; Counterfactual; Cognitive Psychology

We describe results from applying traditional and counterfactual-based causal mediation methods to data from eight cognitive psychology studies investigating the same mediation hypothesis. The primary mediation hypothesis was that a randomized manipulation increases the use of mental imagery of words, which results in recall of more words. Another mediation hypothesis was that manipulation induced repetition of the word would not increase word recall. We estimated single and two-mediator models. Single mediator methods included regression-based, natural effects, Ratio of Mediator Probability Weighting, and Monte Carlo methods and all methods generally estimate the same mediated effect. For the two-mediator model, methods focus on the estimation of different mediated effects. Two mediator methods included parametric g-computation, natural effect models, interventional analogues, and Monte Carlo methods. Estimates were generally consistent across traditional and counterfactual methods, with most discrepancies between methods occurring in studies with smaller sample sizes.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2021 program