Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the…

Psycholinguistic data are often analyzed with repeated-measures analyses of variance (ANOVA), but this paper argues that mixed-effects (multilevel) models provide a better alternative method. First, models are discussed in which the two random factors of participants and items are crossed, and not nested. Traditional ANOVAs are compared against…

We propose that the continuing controversies over the use of quasi-"F"-ratios in psycholinguistic research might be circumvented, if not resolved, by the judicious application of Generalizability Theory (GT) analyses. We argue that GT is a logical extension of the basic rationale behind repeated measures Analysis of Variance (ANOVA) and the…

Investigates the power of a macropropositional model of comprehension for a complex social interaction (a rape interrogation) to predict accurate recall by both individuals and groups. The findings are considered in relation to strategic models of discourse comprehension, and the implications for future social psychological research are discussed.…