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 …

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 …

Proctor and Cho (2006) proposed that, when making binary decisions, people code the
stimulus and response alternatives asymmetrically (positive and negative polarities), with …

Implicit Association Tests (IATs) employing pictures as target stimuli usually yield smaller
scores than those with verbal target stimuli, suggesting weaker attitudes in the former …

Stimulus–response compatibility has been a staple of human factors since the early 1950s,
when it was established by Paul Fitts, one of the founders of human factors. The importance …

Implicit measures were developed to provide relatively pure estimates of attitudes and
stereotypes, free from the influence of processes that constrain true and accurate reporting …

A relative assessment of implicit biases is limited because it produces a combined summary
evaluation of two attitudinal beliefs while concealing the biases driving this evaluation …

Objective: In a series of three studies (N= 187), we investigated the correlation between
implicit and explicit age stereotypes, both of which were assessed in a context-dependent …

Objective Correlational research aiming to validate measures and the construct of implicit
self‐esteem (ISE) has produced heterogeneous results in the past. We argue that this might …

The ReAL model is a multinomial processing tree model that quantifies the contribution of
three qualitatively distinct processes–recoding, associations, and accuracy–to responses on …