Rasch Analysis for Binary Data with Noningnorable Nonresponses
This paper introduces a two-dimensional Item Response Theory (IRT) model to deal with nonignorable nonresponses in tests with dichotomous items. One dimension provides information about the omitting behavior, while the other dimension is related to the person’s “ability”. The idea of embedding an IRT model for missingness into the measurement model is not new but, differently from the existing literature, the model presented in this paper belongs to the Rasch [...]
Evaluation of the perceptual grouping parameter in the CTVA model
The CODE Theory of Visual Attention (CTVA) is a mathematical model [...]
The dissociation between the recall of stimulus frequencies and the judgment of contingency allows the placement of the competition effect in the final causal processing stages
In the predictive learning and causal reasoning literature it has been [...]
Outcome similarity modulates retroactive interference between cues trained apart
Retroactive interference between cues trained apart has been regarded as [...]
Affective priming with associatively acquired valence
Three experiments explored the effect of affectively congruent or incongruent [...]
