Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression
Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues tha...
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| Published in: | Health and quality of life outcomes Vol. 8; no. 1; p. 81 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
04.08.2010
BioMed Central Ltd BMC |
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| ISSN: | 1477-7525, 1477-7525 |
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| Abstract | Background
Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application.
Methods
A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant.
Results
There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses.
Conclusions
A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. |
|---|---|
| AbstractList | Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application. A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant. There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses. A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application. Methods A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant. Results There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses. Conclusions A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application. A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant. There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses. A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. Abstract Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application. Methods A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant. Results There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses. Conclusions A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application.BACKGROUNDDifferential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application.A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant.METHODSA review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant.There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses.RESULTSThere are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses.A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area.CONCLUSIONSA number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a health-related quality of life (HRQoL) subscale, after allowing for overall subgroup differences in that scale. This article reviews issues that arise when testing for DIF in HRQoL instruments. We focus on logistic regression methods, which are often used because of their efficiency, simplicity and ease of application. Methods A review of logistic regression DIF analyses in HRQoL was undertaken. Methodological articles from other fields and using other DIF methods were also included if considered relevant. Results There are many competing approaches for the conduct of DIF analyses and many criteria for determining what constitutes significant DIF. DIF in short scales, as commonly found in HRQL instruments, may be more difficult to interpret. Qualitative methods may aid interpretation of such DIF analyses. Conclusions A number of methodological choices must be made when applying logistic regression for DIF analyses, and many of these affect the results. We provide recommendations based on reviewing the current evidence. Although the focus is on logistic regression, many of our results should be applicable to DIF analyses in general. There is a need for more empirical and theoretical work in this area. |
| ArticleNumber | 81 |
| Audience | Academic |
| Author | Sprangers, Mirjam AG Koller, Michael Scott, Neil W Fayers, Peter M Gundy, Chad Groenvold, Mogens Petersen, Morten A de Graeff, Alexander Bottomley, Andrew Aaronson, Neil K |
| AuthorAffiliation | 5 Division of Medical Oncology, Department of Internal Medicine, University Medical Centre, Utrecht, Netherlands 7 Institute of Public Health, University of Copenhagen, Denmark 1 Section of Population Health, University of Aberdeen, UK 3 Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands 9 Department of Medical Psychology, Academic Medical Centre, University of Amsterdam, Netherlands 4 Quality of Life Department, European Organisation for Research and Treatment of Cancer Headquarters, Brussels, Belgium 6 Department of Palliative Medicine, Bispebjerg Hospital, Copenhagen, Denmark 8 Centre for Clinical Studies, University Hospital Regensburg, Regensburg, Germany 2 Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway |
| AuthorAffiliation_xml | – name: 3 Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands – name: 4 Quality of Life Department, European Organisation for Research and Treatment of Cancer Headquarters, Brussels, Belgium – name: 5 Division of Medical Oncology, Department of Internal Medicine, University Medical Centre, Utrecht, Netherlands – name: 6 Department of Palliative Medicine, Bispebjerg Hospital, Copenhagen, Denmark – name: 9 Department of Medical Psychology, Academic Medical Centre, University of Amsterdam, Netherlands – name: 8 Centre for Clinical Studies, University Hospital Regensburg, Regensburg, Germany – name: 1 Section of Population Health, University of Aberdeen, UK – name: 2 Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway – name: 7 Institute of Public Health, University of Copenhagen, Denmark |
| Author_xml | – sequence: 1 givenname: Neil W surname: Scott fullname: Scott, Neil W email: n.w.scott@abdn.ac.uk organization: Section of Population Health, University of Aberdeen – sequence: 2 givenname: Peter M surname: Fayers fullname: Fayers, Peter M organization: Section of Population Health, University of Aberdeen, Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology – sequence: 3 givenname: Neil K surname: Aaronson fullname: Aaronson, Neil K organization: Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute – sequence: 4 givenname: Andrew surname: Bottomley fullname: Bottomley, Andrew organization: Quality of Life Department, European Organisation for Research and Treatment of Cancer Headquarters – sequence: 5 givenname: Alexander surname: de Graeff fullname: de Graeff, Alexander organization: Division of Medical Oncology, Department of Internal Medicine, University Medical Centre – sequence: 6 givenname: Mogens surname: Groenvold fullname: Groenvold, Mogens organization: Department of Palliative Medicine, Bispebjerg Hospital, Institute of Public Health, University of Copenhagen – sequence: 7 givenname: Chad surname: Gundy fullname: Gundy, Chad organization: Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute – sequence: 8 givenname: Michael surname: Koller fullname: Koller, Michael organization: Centre for Clinical Studies, University Hospital Regensburg – sequence: 9 givenname: Morten A surname: Petersen fullname: Petersen, Morten A organization: Department of Palliative Medicine, Bispebjerg Hospital – sequence: 10 givenname: Mirjam AG surname: Sprangers fullname: Sprangers, Mirjam AG organization: Department of Medical Psychology, Academic Medical Centre, University of Amsterdam |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20684767$$D View this record in MEDLINE/PubMed |
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| Keywords | Differential Item Functioning Analysis Differential Item Functioning Item Response Theory HRQoL Instrument Ordinal Logistic Regression |
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| PublicationTitle | Health and quality of life outcomes |
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Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a... Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a... Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items within a... Abstract Background Differential item functioning (DIF) methods can be used to determine whether different subgroups respond differently to particular items... |
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| SubjectTerms | Data Interpretation, Statistical Female Health aspects Health Status Indicators Humans Logistic Models Logistic regression Male Medicine Medicine & Public Health Psychometrics Quality of Life Quality of Life Research Sample Size Surveys and Questionnaires |
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| Title | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
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