Item Calibration in Incomplete Testing Designs
This study discusses the justifiability of item parameter estimation in incomplete testing designs in item response theory. Marginal maximum likelihood (MML) as well as conditional maximum likelihood (CML) procedures are considered in three commonly used incomplete designs: random incomplete, multistage testing and targeted testing designs. Mislevy and Sheenan (1989) have shown that in incomplete designs the justifiability of MML can be deduced from Rubin's (1976) general theory on inference in [...]
Analysis of the difficulty of a mathematics test by a componential model
En este trabajo se delimitan los componentes de dificultad que intervienen [...]
Change in the context associative value in differential inhibition: Effects of extinction and overshadowing of context cues
Se llevaron a cabo dos experimentos utilizando una preparación de supresión [...]
Eyewitness memory in an emotional vs. neutral context
En esta investigación, a partir de la representación en vivo [...]
Psychology of Reading and visual word recognition: A review of experimental techniques and procedures for data analysis
Este trabajo ofrece una revisión crítica de las técnicas más [...]
