Add to ORKGThis paper explores the effects of item choice on ability estimation when using a tailored testing procedure based on the Rasch simple logistic model. Most studies of the simple logistic model imply that ability estimates are totally independent of the items used, regardless of the testing procedure. This paper shows that the ability estimate is affected by item choice and gives theoretical and empirical information as to the direction and magnitude of the effect. (Author/RC
In this study some alternative item selection criteria for adaptive testing are proposed. These crit...
Methods for testing hypotheses concerning the regression parameters in linear models for the latent ...
This paper discusses four item selection rules to design efficient individualized tests for the rand...
Using simulated item response data, the performance of several "robust " and conventional ...
Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investig...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
The effects of varying degrees of correlation between abilities and of various correlation configura...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
Building on the Kelley and Gulliksen versions of classical test theory, this article shows that a lo...
Items with the highest discrimination parameter values in a logistic item response theory (IRT) mode...
This article presents a psychometric model for estimating ability and item-selection strategies in s...
Among the varieties of logistic models, those at-tributed to Birnbaum (involving the parameters of i...
For decades, most IRT studies that have involved ability estimates assumed that the item parameters ...
Fisher's information measure for the item difficulty parameter in the Rasch model and its marginal a...
A Monte Carlo simulation study investigated the effect of scoring format, item parameterization, thr...
In this study some alternative item selection criteria for adaptive testing are proposed. These crit...
Methods for testing hypotheses concerning the regression parameters in linear models for the latent ...
This paper discusses four item selection rules to design efficient individualized tests for the rand...
Using simulated item response data, the performance of several "robust " and conventional ...
Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investig...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
The effects of varying degrees of correlation between abilities and of various correlation configura...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
Building on the Kelley and Gulliksen versions of classical test theory, this article shows that a lo...
Items with the highest discrimination parameter values in a logistic item response theory (IRT) mode...
This article presents a psychometric model for estimating ability and item-selection strategies in s...
Among the varieties of logistic models, those at-tributed to Birnbaum (involving the parameters of i...
For decades, most IRT studies that have involved ability estimates assumed that the item parameters ...
Fisher's information measure for the item difficulty parameter in the Rasch model and its marginal a...
A Monte Carlo simulation study investigated the effect of scoring format, item parameterization, thr...
In this study some alternative item selection criteria for adaptive testing are proposed. These crit...
Methods for testing hypotheses concerning the regression parameters in linear models for the latent ...
This paper discusses four item selection rules to design efficient individualized tests for the rand...