Semi-Automated Rasch Analysis with Differential Item Functioning [post]

Feri Wijayanto, Ioan Gabriel Bucur, Karlien Mul, Perry Groot, Baziel G.M. van Engelen, Tom Heskes
2022 unpublished
Rasch analysis is a procedure to develop and validate instruments that aim to measure persons' traits. However, manual Rasch analysis is a complex and time-consuming task, even more so when the possibility of differential item functioning (DIF) is taken into consideration. Furthermore, manual Rasch analysis by construction relies on a modeller's subjective choices. As an alternative approach, we introduce a semi-automated procedure that is based on the optimization of a new criterion, called
more » ... plus-out-of-questionnaire log likelihood with differential item functioning (IPOQLL-DIF) which extends our previous criterion. We illustrate our procedure on artificially generated data as well as on several real-world datasets containing potential DIF items. On these real-world datasets, our procedure found instruments with similar clinimetric properties as those suggested by experts through manual analyses.
doi:10.31234/ fatcat:4n3lycdfjzezfosg7joqdlr7ki