People recall more information after sleep than after an equally long period of wakefulness.
This sleep benefit in episodic memory has been documented in almost a century of …

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic
reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge …

Computational modeling is now ubiquitous in psychology, and researchers who are not
modelers may find it increasingly difficult to follow the theoretical developments in their field …

According to the principle of parsimony, model selection methods should value both
descriptive accuracy and simplicity. Here we focus primarily on Bayes factors and minimum …

Multinomial processing tree (MPT) models are a class of measurement models that account
for categorical data by assuming a finite number of underlying cognitive processes …

Multinomial processing tree (MPT) models are a family of stochastic models for psychology
and related sciences that can be used to model observed categorical frequencies as a …

Associative attitude learning is typically viewed as a low-level process that automatically
registers mere co-occurrences between stimuli, independent of their validity and relational …

The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for
hypothesis evaluation and model selection. The present review highlights the potential of …

Processing tree models offer a powerful research framework by which the contributions of
cognitive processes to a task can be separated and quantified. The present article reviews a …

To determine the role of moral norms in cooperation and punishment, we examined the
effects of a moral-framing manipulation in a Prisoner's Dilemma game with a costly …