We introduce a forward search method for identifying atypical observations in Item Response Theory models for binary data (Rasch models). Our proposal introduces diagnostic tools, based on robust high-breakdown methodologies, to avoid distortion in the estimation of the model, and to single out outlying response patterns. Atypical response patterns usually deserve further investigation. Methods to initialize, progress, and monitor the Forward Search are explored. The simulated dataset showcases the effectiveness of the method in the presence of outliers.

Comotti, A., Greselin, F. (2022). Robustifying the Rasch model with the forward search. In A. Balzanella, M. Bini, C. Cavicchia, R. Verde (a cura di), SIS2022 Book of the Short Papers (pp. 1676-1681). Pearson.

Robustifying the Rasch model with the forward search

Anna Comotti;Francesca Greselin
2022

Abstract

We introduce a forward search method for identifying atypical observations in Item Response Theory models for binary data (Rasch models). Our proposal introduces diagnostic tools, based on robust high-breakdown methodologies, to avoid distortion in the estimation of the model, and to single out outlying response patterns. Atypical response patterns usually deserve further investigation. Methods to initialize, progress, and monitor the Forward Search are explored. The simulated dataset showcases the effectiveness of the method in the presence of outliers.
Capitolo o saggio
We introduces a forward search method for identifying atypical observations in Item Response Theory models for binary data (Rasch models). Our proposal introduces diagnostic tools, based on robust high-breakdown methodologies, to avoid distortion in the estimation of the model, and to single out outlying response patterns. Atypical response patterns usually deserve further investigation. Methods to initialize, progress, and monitor the Forward Search are explored. The simulated dataset showcases the effectiveness of the method in the presence of outliers.
English
SIS2022 Book of the Short Papers
Balzanella, A; Bini, M; Cavicchia, C; Verde, R
25-giu-2022
2022
9788891932310
Pearson
1676
1681
Comotti, A., Greselin, F. (2022). Robustifying the Rasch model with the forward search. In A. Balzanella, M. Bini, C. Cavicchia, R. Verde (a cura di), SIS2022 Book of the Short Papers (pp. 1676-1681). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/398372
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