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 …

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 …

The analysis of variance (ANOVA) is frequently used to examine whether a number of
groups differ on a variable of interest. The global hypothesis test of the ANOVA can be …

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

Multiple imputation (MI) is commonly used when item-level missing data are present.
However, MI requires that survey design information be built into the imputation models. For …

General linear mixed models are commonly used in the analysis of unbalanced repeated
measures designs (Verbeke & Molenberghs, 2000). Though the relative performance of …

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 …

Multivariate analysis of variance (MANOVA) is widely used in educational research to
compare means on multiple dependent variables across groups. Researchers faced with the …

Randomized trials involving independent and paired observations occur in many areas of
health research, for example in paediatrics, where studies can include infants from both …