There is another important artifactual contributor to the apparent improvement of persons subjected to an experimental intervention which may be mistaken for regression toward the mean. This is the phenomenon of random error and extreme selection, which ...

The item selection rule (ISR) most commonly used in computerized adaptive testing (CAT) is to select the item with maximum Fisher information for the current trait estimation (PFI). Several alternative ISRs have been proposed. Among them, Fisher ...

Statistical techniques based on logistic regression (LR) are adequate for the detection of differential item functioning (DIF) in dichotomous items. Nevertheless, they return more false positives (FPs) than do other DIF detection techniques. This paper ...

The use of classic dimension reduction techniques can be considered customary practice within the context of data mining (DM). Nevertheless, although artificial neural networks (ANNs) are one of the most important DM techniques, specific ANN architectures ...

After almost a century of debate among renowned statisticians, 21st century traditional Statistical Inference is marked by controversy over the application of the procedures for hypothesis estimation and contrast. The aim of this paper is twofold: First, ...