Enhancing Computerized Adaptive Testing with Batteries of Unidimensional Tests.

The article presents a new computerized adaptive testing (CAT) procedure for use with batteries of unidimensional tests. At each step of testing, the estimate of a certain ability is updated on the basis of the response to the latest administered item and the current estimates of all other abilities measured by the battery. The information deriving from these abilities is incorporated into an empirical prior that is updated each time that new estimates of the abilities are computed.

Assessing the impact of replication on implicit association test effect by means of the extended logistic model for the assessment of change.

The present study consists of a longitudinal investigation in which implicit association measures were collected by means of the implicit association test (IAT), with the purpose of assessing the impact of replication on the test effect with the same participants. The extended logistic model for the assessment of change (ELMAC), a procedure that belongs to Rasch modeling, was applied. By means of the ELMAC application, the existence of latent traits characteristic of the impact on the IAT effect (due to replication through time) is shown; more precisely, the model time parameters show the decrement of the IAT effect through time, due to the decrease of the implicit preference in both conditions, compatible and incompatible, associated with sweet foods and salty foods.

Assessing change with the extended logistic model.

The purpose of this article is to define a method for the assessment of change. A reinterpretation of the extended logistic model is proposed. The extended logistic model for the assessment of change (ELMAC) allows the definition of a time parameter which is supposed to identify whether change occurs during a period of time, given a specific event or phenomenon.