DOIAbstract
The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics
The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics
The Rasch model is a probabilistic model which describes the interaction of persons (test takers/sur...
The study aims at evaluating the impact of the questionnaire size on the accuracy and stability of t...
Results of simulation studies indicate that the un-conditional maximum likelihood method is commonly...
Contains fulltext : mmubn000001_122601394.pdf (publisher's version ) (Open Access)...
[[abstract]]This study investigates item parameter recovery, standard error estimates, and fit stati...
The effects of random guessing as a measurement disturbance on Rasch fit statistics (unweighted tota...
Aim: To compare fit statistics for the Rasch model based on estimates of unconditional or conditiona...
Many large-scale national and international testing programs use the Raschmodel to govern the constr...
Results of simulation studies indicate that the unconditional maximum likelihood method is commonly...
The purpose of this study is to determine an efficient way to reduce the bias in estimates of the Ra...
The Rasch Analysis transforms raw scores of questionnaires into measures, satisfying fundamental mea...
Purpose: The present paper presents developments and advanced practical applications of Rasch's theo...
Documentation of the initial evidence against fit the Rasch model, and evidence against fit for the ...
Two frequently used parametric statistics of person-fit with the dichotomous Rasch model (RM) are ad...
The primary purpose of this study was to investigate the invariance properties of the Rasch model us...
The Rasch model is a probabilistic model which describes the interaction of persons (test takers/sur...
The study aims at evaluating the impact of the questionnaire size on the accuracy and stability of t...
Results of simulation studies indicate that the un-conditional maximum likelihood method is commonly...
Contains fulltext : mmubn000001_122601394.pdf (publisher's version ) (Open Access)...
[[abstract]]This study investigates item parameter recovery, standard error estimates, and fit stati...
The effects of random guessing as a measurement disturbance on Rasch fit statistics (unweighted tota...
Aim: To compare fit statistics for the Rasch model based on estimates of unconditional or conditiona...
Many large-scale national and international testing programs use the Raschmodel to govern the constr...
Results of simulation studies indicate that the unconditional maximum likelihood method is commonly...
The purpose of this study is to determine an efficient way to reduce the bias in estimates of the Ra...
The Rasch Analysis transforms raw scores of questionnaires into measures, satisfying fundamental mea...
Purpose: The present paper presents developments and advanced practical applications of Rasch's theo...
Documentation of the initial evidence against fit the Rasch model, and evidence against fit for the ...
Two frequently used parametric statistics of person-fit with the dichotomous Rasch model (RM) are ad...
The primary purpose of this study was to investigate the invariance properties of the Rasch model us...
The Rasch model is a probabilistic model which describes the interaction of persons (test takers/sur...
The study aims at evaluating the impact of the questionnaire size on the accuracy and stability of t...
Results of simulation studies indicate that the un-conditional maximum likelihood method is commonly...
Add to ORKG