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Evaluation of global testing procedures for item fit to the Rasch model

British Journal of Mathematical and Statistical Psychology, 2003
Two types of global testing procedures for item fit to the Rasch model were evaluated using simulation studies. The first type incorporates three tests based on first‐order statistics: van den Wollenberg's Q 1 test, Glas's R 1 test, and Andersen's LR ...
Juan C, Suárez-Falcón, Cees A W, Glas
openaire   +2 more sources

The Distributional Properties of Rasch Item Fit Statistics

Educational and Psychological Measurement, 1991
This study reports the results of an empirical investigation of the distributional properties of the item fit statistics that are commonly used in Rasch model calibration programs as indices of the fit of the responses to individual items to the measurement model. There are two aspects of this study: an investigation of the distributional properties of
openaire   +1 more source

Model-data fit evaluation: item fit and model selection

2023
Alberto Maydeu-Olivares   +3 more
openaire   +1 more source

Improving items that do not fit the Rasch model

2013
Development of measurement scales is a time- and resource-consuming process with many stages. This chapter introduces a systematic approach to improving poor performing items based on Nielsen and Kreiner's strategy for scale improvement. This strategy combines the results from graphical log-linear Rasch modeling with the results of a subject matter ...
Nielsen, Tine, Kreiner, Svend
openaire   +1 more source

Evaluating Item Fit Statistic Thresholds in PISA: Analysis of Cross‐Country Comparability of Cognitive Items

Educational Measurement: Issues and Practice, 2021
Hyo Jeong Shin, Sean Joo
exaly  

A Bias-Corrected RMSD Item Fit Statistic: An Evaluation and Comparison to Alternatives

Journal of Educational and Behavioral Statistics, 2020
Johannes Hartig, Alexander Robitzsch
exaly  

On the Generalized S−X2–Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization

Journal of Educational and Behavioral Statistics, 2022
Jochen Ranger, Kay Bräuer
exaly  

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