Differential Item Functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the Rasch model framework
| Autor: | Alexandra Rouquette, Jean-Benoit Hardouin, Joël Coste, Alexis Vanhaesebrouck, Véronique Sébille |
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| Přispěvatelé: | Bodescot, Myriam, Public Health and Epidemiology Department [Le Kremlin-Bicêtre], Université Paris-Sud - Paris 11 - Faculté de médecine (UP11 UFR Médecine), Université Paris-Sud - Paris 11 (UP11)-Université Paris-Sud - Paris 11 (UP11), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université de Lorraine (UL), MethodS in Patients-centered outcomes and HEalth ResEarch (SPHERE), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes (UN)-Université de Nantes (UN), Biostatistics and Methodology Unit [Nantes], Centre hospitalier universitaire de Nantes (CHU Nantes), Biostatistics and Epidemiology Department [Paris], Hôpital Hôtel-Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Research design
Psychometrics Science Health Status Applied psychology Group comparison Health informatics 03 medical and health sciences 0302 clinical medicine Quality of life (healthcare) 0504 sociology Surveys and Questionnaires Outcome Assessment Health Care Humans 030212 general & internal medicine [SDV.IB] Life Sciences [q-bio]/Bioengineering Models Statistical Multidisciplinary Rasch model business.industry 05 social sciences 050401 social sciences methods Differential item functioning 3. Good health Data Interpretation Statistical Scale (social sciences) Quality of Life Research studies Medicine [SDV.IB]Life Sciences [q-bio]/Bioengineering business Psychology |
| Zdroj: | PLoS ONE PLoS ONE, 2019, 14 (4), pp.e0215073. ⟨10.1371/journal.pone.0215073⟩ PLoS ONE, Public Library of Science, 2019, 14 (4), pp.e0215073. ⟨10.1371/journal.pone.0215073⟩ PLoS ONE, Vol 14, Iss 4, p e0215073 (2019) |
| ISSN: | 1932-6203 |
| Popis: | ObjectiveThe 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.MethodsThis 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.ResultsFour 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.ConclusionThis 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. |
| Databáze: | OpenAIRE |
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