Differential Item Functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the Rasch model framework

Abstract : OBJECTIVE: The aims were to review practices concerning Differential Item Functioning (DIF) detection in composite measurement scales, particularly those used in health research, and to provide guidance on how to proceed if statistically significant DIF is detected. METHODS: This work specifically addressed the Rasch model which is the subject of growing interest in the field of health owing to its particularly advantageous properties. There were three steps: 1) Literature review to describe current practices; 2) Simulation study to determine under which conditions encountered in health research studies can erroneous conclusions be drawn from group comparisons when a scale is affected by DIF but which is not considered; 3) Based on steps 1 and 2, formulation of recommendations that were subsequently reviewed by leading internationally recognized experts. RESULTS: Four key recommendations were formulated to help researchers to determine whether statistically significant DIF is meaningful in practice, according to the kind of DIF (uniform or non-uniform) and the DIF effect size. CONCLUSION: This work provides the first recommendations on how to deal in practice with the presence of DIF in composite measurement scales used in health research studies.
Document type :
Journal articles
Complete list of metadatas

Cited literature [42 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-02197755
Contributor : Myriam Bodescot <>
Submitted on : Tuesday, July 30, 2019 - 4:31:33 PM
Last modification on : Thursday, August 1, 2019 - 2:13:35 AM

File

journal.pone.0215073.pdf
Publication funded by an institution

Identifiers

Citation

Alexandra Rouquette, Jean-Benoit Hardouin, Alexis Vanhaesebrouck, Véronique Sébille, Joël Coste. Differential Item Functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the Rasch model framework. PLoS ONE, Public Library of Science, 2019, 14 (4), pp.e0215073. ⟨10.1371/journal.pone.0215073⟩. ⟨inserm-02197755⟩

Share

Metrics

Record views

47

Files downloads

66