A Note on Improving EAP Trait Estimation in Oblique Factor-Analytic and Item Response Theory Models
This note is about Bayes EAP scoring in the class of oblique linear and nonlinear item response models that can be parameterized as factor analytic models. For these models, we propose an improved implementation approach that (a) provides more detailed and informative output, and (b) uses more prior information from the calibration stage. Overall, we discuss the limitations of EAP estimation as it is implemented in most available programs, provide [...]
Discourse Comprehension and Simulation of Positive Emotions
Recent research has suggested that emotional sentences are understood by constructing [...]
Interview to Professor Pio Tudela
Por acuerdo unánime de la Junta Directiva de la Sociedad Española [...]
The adequacy of different robust statistical tests in comparing two independent groups
In the current study, we evaluated various robust statistical methods [...]
Measuring anxiety in visually-impaired people: A comparison between the linear and the nonliear IRT approaches
The present study has two main interests. First, some pending [...]
