Reports

The research question determines many design choices in developmental research – e.g., is the hypothesis related to the timecourse of various pressures, or merely the presence of a bias? Some methods are better suited than others for answering these different questions.

The goal for this analysis was to better understand the shape of the developmental curve. To do this we used linear mixed effects models, so that the variance of individual meta-analyses could be accounted for.

Here we explore whether and how accounting for this possible correlation affects both a random effects base model and a moderator analysis.