Estimation of logistic regression models in small samples. A simulation study using a weakly informative default prior distribution
In this paper, we used simulations to compare the performance of classical and Bayesian estimations in logistic regression models using small samples. In the performed simulations, conditions were varied, including the type of relationship between independent and dependent variable values (i.e., unrelated and related values), the type of variable (i.e., binary and continuous), and different Binomial distribution values and symmetry (i.e., symmetry and positive asymmetry). Iteratively re-weighted least squares was [...]
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 attentional [...]
A review of attentional capture: On its automaticity and sensitivity to endogenous control.
It is well known that irrelevant stimuli can control where we [...]
Age of acquisition effects in word recognition and production in first and second languages
Four experiments explored the age of acquisition effects in the [...]
Relational learning transference in a navigation task
Se entrenó a tres grupos de ratas en la tarea [...]
