Supplementary materials to: Multiple Imputation to Balance Unbalanced Designs for Two-Way
Analysis of Variance | PsychArchives Leibniz Psychology Logo Contact the PsychArchives …

Table S2. Rejection Rates for Each Effect Under the Null Model, a Small Sample Size, Three
Levels of Factor B, for Different Met Page 1 1 Table S2. Rejection Rates for Each Effect Under …

In earlier literature, multiple imputation was proposed to create balance in unbalanced
designs, as an alternative to Type III sum of squares in two-way ANOVA. In the current …

A balanced ANOVA design provides an unambiguous interpretation of the F-tests, and has
more power than an unbalanced design. In earlier literature, multiple imputation was …

Bayes factors allow researchers to test the effects of experimental manipulations in within-
subjects designs using mixed-effects models. van Doorn et al.(2021) showed that such …

I uncover previously underappreciated systematic sources of false and irreproducible results
in natural, biomedical and social sciences that are rooted in statistical methodology. They …

Written by experts that include originators of some key ideas, chapters in the Handbook of
Multiple Testing cover multiple comparison problems big and small, with guidance toward …

One of the common applications of simultaneous inference problems is in the dose-
response study, where different dosage levels need to be tested simultaneously. Although …

A rich body of research throughout the social sciences demonstrates that bias--people's
tendency to display group-based preferences--is a major obstacle to increasing …

Stata version of the HonestDiD R package, which implements robust inference for difference-
in-differences and event study design methods developed in Rambachan and Roth (2021) …