The Dirichet-Multinomial Model for Multivariate Randomized Response Data and Small Samples
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when observing multivariate response data. The beta-binomial model for binary RR data will be generalized to handle multivariate categorical RR data. The Dirichletmultinomial model for categorical RR data is extended with a linear transformation [...]
Effect of stimulus intensity on latent inhibition: A case for generalization decrement
En dos experimentos se empleó la técnica de aversión condicionada al [...]
Temporal interactions between target and distractor processing: Positive and negative priming effects
The flankers paradigm and the prime/probe paradigm for the study of [...]
Commentaries on Ruz & Lupiáñez (2002): A review of Attentional Capture: On its automaticity and sensitivity to endogenous control
Ruz and Lupiáñez have provided a comprehensive review of the [...]
A review of attentional capture: On its automaticity and sensitivity to endogenous control.
It is well known that irrelevant stimuli can control where [...]
