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 …

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

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 …

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 …

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 …

Whether one should use an analysis of covariance or a form of difference score test
(difference as an outcome or repeated measure) is not always clear. The literature on the …

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 …

The previous decade can be viewed as a second golden for era Multiple Comparisons
research. I argue that much of the success stems from our being able to address real current …

There are many advantages to individual participant data meta‐analysis for combining data
from multiple studies. These advantages include greater power to detect effects, increased …