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Effects of Stimulus Order on Discrimination Processes in Comparative and Equality Judgements: Data and Models
How two models of stimulus discrimination can account for the Type B effect are outlined, namely the weighted difference model (or basic Sensation Weighting model) and the Internal Reference Model and it is shown that the models also predict a Type A effect for equality judgements.
Trial-by-trial updating of an internal reference in discrimination tasks: Evidence from effects of stimulus order and trial sequence
This work examined the predictions of IRM in two duration discrimination experiments and obtained results in agreement with the predictions, suggesting that participants update their internal reference on every trial.
Temporal reproductions are influenced by an internal reference: explaining the Vierordt effect.
The notion of a dynamically updated internal reference underlying judgments about the time elapsed, which might also be the basis of the Vierordt effect, is supported.
Effects of stimulus order on discrimination sensitivity for short and long durations
The present experiments suggest that the Type B effect is robust across standard magnitude, but diminishes when the time interval between both stimuli is reduced.
Effects of stimulus order on duration discrimination sensitivity are under attentional control.
The attention-based reduction of the Type B effect might be explained by a flexible weighting mechanism that regulates the level of integration of remote stimulus information.
Estimating discrimination performance in two-alternative forced choice tasks: Routines for MATLAB and R
Ulrich and Vorberg (Attention, Perception, & Psychophysics 71: 1219–1227, 2009) introduced a novel approach for estimating discrimination performance in two-alternative forced choice (2AFC) tasks.
What’s in a Name: A Bayesian Hierarchical Analysis of the Name-Letter Effect
This paper re-analyzes two data sets that address the question of whether people are disproportionately likely to live in cities that resemble their name and outlines a Bayesian hierarchical analysis that avoids limitations and allows coherent inference.