Detection of Q-Matrix Misspecification using Two Criteria for Validation of Cognitive Structures under the Least Squares Distance Model
Cognitive Diagnostic Models (CDMs) aim to provide information about the degree to which individuals have mastered specific attributes that underlie the success of these individuals on test items. The Q-matrix is a key element in the application of CDMs, because contains links item-attributes representing the cognitive structure proposed for solve the test. Using a simulation study we investigated the performance of two model-fit statistics (MAD and LSD) to detect misspecifications [...]
Is contextual-potentiated eating dependent on caloric density of food?
One experiment tested whether a specific context could elicit eating in [...]
Phonetic perception in rats: A new discrimination measure
Durante las últimas décadas se ha demostrado que la experiencia con [...]
Differences on extinction of an appetitive instrumental response in female inbred Roman High (RHA-I) and Low Avoidance (RLA-I) rats
An experiment was conducted with the goal of exploring strain [...]
Identitity, gender, and the role of age acquisition in face processing
Two experiments examined the effects of age of acquisition (AoA) [...]
