The adequacy of different robust statistical tests in comparing two independent groups
In the current study, we evaluated various robust statistical methods for comparing two independent groups. Two scenarios for simulation were generated: one of equality and another of population mean differences. In each of the scenarios, 33 experimental conditions were used as a function of sample size, standard deviation and asymmetry. For each condition, 5000 replications per group were generated. The results obtained by this study show an adequate type error [...]
A new method to assess eye dominance
People usually show a stable preference for one of their eyes [...]
Rightward shift in temporal order judgments in the wake of the attentional blink
The temporal order of two events, each presented in a different [...]
The effect of number of codes in the comparison task of two-digit numbers
Realizamos tres experimentos para evaluar la influencia del formato numérico [...]
The External Validity of Scores Based on the Two-Parameter Logistic Model: Some Comparisons Between IRT and CTT
A theoretical advantage of item response theory (IRT) models is [...]
