Influential psychological theories hypothesize that people consume alcohol in response to
the experience of both negative and positive emotions. Despite two decades of daily diary …

Count data is prevalent in many different areas of linguistics, such as when counting words,
syntactic constructions, discourse particles, case markers, or speech errors. The Poisson …

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …

Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide
one general way to compare different hypotheses by their compatibility with the observed …

Experiments in research on memory, language, and in other areas of cognitive science are
increasingly being analyzed using Bayesian methods. This has been facilitated by the …

It is well-known in statistics (eg, Gelman & Carlin, 2014) that treating a result as publishable
just because the p-value is less than 0.05 leads to overoptimistic expectations of …

Cue-based retrieval theories in sentence processing predict two classes of interference
effect:(i) Inhibitory interference is predicted when multiple items match a retrieval cue: cue …

Speech sound contrasts differ along multiple phonetic dimensions. During speech
perception, listeners must decide which cues are relevant, and determine the relative …

This methods showcase article provides a detailed overview of a mixed‐effects modeling
analysis of corpus data on the use of that in object and subject complementation by native …