Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 141 - 153
Опубликована: Ноя. 15, 2024
Язык: Английский
Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 141 - 153
Опубликована: Ноя. 15, 2024
Язык: Английский
Lifestyle Medicine, Год журнала: 2025, Номер unknown, С. 617 - 649
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Май 21, 2024
Partial credit trees (PCtree) from the model-based recursive partitioning framework combine partial measurement model for polytomous items with decision machine learning. This method allows researchers to investigate invariance by detecting differential item and step functioning (DIF/DSF) in a data driven way. In this manuscript, we extend PCtrees an effect size measure DIF/DSF items, gamma coefficient psychometrics. We evaluate extension of series simulation studies. Our results show that supports evaluating whether splits tree are meaningful, identifying DIF DSF can stop growing case negligible sizes. Furthermore, assess implement correction item-wise testing is particularly crucial longer tests. Finally, illustrate using LISS panel showcase its enhanced interpretability.
Язык: Английский
Процитировано
1Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 141 - 153
Опубликована: Ноя. 15, 2024
Язык: Английский
Процитировано
0