This article argues for the use of contrasts to test a priori interact
ion hypotheses in 2-way analysis of variance designs. It focuses on 3
underused types of interaction contrast tests: a ''matching'' pattern
for cognate levels of row and column factors; the ''qualitative quadra
tic,'' for monotonic profiles of means in the same direction but with
opposed concavities; and a ''differential curvilinearity'' test for di
fferences in the curvature of two profiles with the same direction of
concavity. The circumstances that best capitalize on the potential adv
antages of a priori contrast tests are indicated, and an effect size m
easure for contrasts is presented. Investigators are urged to examine
residuals after accounting for the variation attributable to the chose
n contrast for patterns that may provide hints for more textured hypot
heses in further research. If a posteriori contrasts are used, their e
ffect sizes should be noted.