Previous surveys of the literature have shown that reports of statistical analyses often lack
important information, causing lack of transparency and failure of reproducibility. Editors and …

In many statistical applications that concern mathematical psychologists, the concept of
Fisher information plays an important role. In this tutorial we clarify the concept of Fisher …

Statistical procedures such as Bayes factor model selection and Bayesian model averaging
require the computation of normalizing constants (eg, marginal likelihoods). These …

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 …

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 …

To what extent are research results influenced by subjective decisions that scientists make
as they design studies? Fifteen research teams independently designed studies to answer …

Relative to younger adults, older adults tend to perform more poorly on tests of both free
recall and item recognition memory. The age difference in performance is typically larger for …

Abstract Cognitive Bias Modification (CBM) refers to a family of interventions targeting
substance-related cognitive biases, which have been found to play a role in the …

Meta-analysis is an important quantitative tool for cumulative science, but its application is
frustrated by publication bias. In order to test and adjust for publication bias, we extend …

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 …