Journal of Memory and Language 

TL;DR: It is argued that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades, and it is shown thatLMEMs generalize best when they include the maximal random effects structure justified by the design.

TL;DR: In this article, the authors provide an introduction to mixed-effects models for the analysis of repeated measurement data with subjects and items as crossed random effects, and a worked-out example of how to use recent software for mixed effects modeling is provided.

TL;DR: In this article, a process dissociation procedure is proposed to separate the contributions of different types of processes to performance of a task, rather than equating processes with tasks, by separating automatic from intentional forms of processing.

TL;DR: For instance, the authors found that recall is more sensitive than familiarity to response speeding, division of attention, generation, semantic encoding, the effects of aging, and the amnestic effects of benzodiazepines, while familiarity is less sensitive to shifts in response criterion, fluency manipulations, forgetting over short retention intervals, and some perceptual manipulations.

TL;DR: This paper identifies several serious problems with the widespread use of ANOVAs for the analysis of categorical outcome variables, and introduces ordinary logit models (i.e. logistic regression), which are well-suited to analyze categorical data and offer many advantages over ANOVA.