Detecting DIF in Polytomous Items Using MACS, IRT and Ordinal Logistic Regression
The purpose of the present study was to compare the Type I error rate and power of two model-based procedures, the mean and covariance structure model (MACS) and the item response theory (IRT), and an observed-score based procedure, ordinal logistic regression, for detecting differential item functioning (DIF) in polytomous items. A simulation study was employed in which polytomous data with five ordered categories were generated using Samejima's graded response model [...]
Protection from extinction by concurrent presentation of an excitor or an extensively extinguished CS
One conditioned taste aversion experiment with rats assessed the impact of [...]
AAB and ABA renewal as a function of the number of extinction trials in conditioned taste aversion
Three experiments explored renewal in conditioned taste aversion after different amounts [...]
Negative semantic priming from consciously vs. uncosnciously perceived single words
The present research explores whether obtaining semantic negative priming from [...]
Hand movement deviations in a cross modal cuing paradigm in a visual search task
The purpose of this study is to demonstrate the cross-modal [...]
