Specific Interaction Contrasts: A Statistical Tool for Repeated-Measures Designs.
NAVAL HEALTH RESEARCH CENTER SAN DIEGO CA
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Experimental psychologists often use multifactor repeated-measure designs in which interactions are the most important effects to be assessed. An experimenter has at least five ways to evaluate such interactions a univariate repeated-measures analysis of variance ANOVA, with probably inflated estimates of the degrees of freedom a univariate repeated-measures ANOVA with the Greenhouse-Geisser conservative estimate of the degrees of freedom the Greenhouse-Geisser stepwise analysis a multivariate ANOVA and specific interaction contrasts. We show that no matter which of the above paths is chosen, the careful experimenter must compute specific interaction contrasts i.e., t-tests. A worked example is given. Author
- Statistics and Probability