Within-person factorial experiments, log(normal) reaction-time data

This is the first post in a new series on causal inference. We will learn how to analyze data from true experiments with techniques from the contemporary causal inference literature. Unlike with my earlier series focused on the generalized linear model (GLM), all the data in this series will have more complicated structures, which we’ll capture with the generalized linear mixed model (GLMM). In this first post, we walk out the general framework using log(normal) reaction-time data collected from a within-person factorial experiment.