Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression
<p>Abstract</p> <p>Background</p> <p>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 di...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-08-01
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| Series: | Health and Quality of Life Outcomes |
| Online Access: | http://www.hqlo.com/content/8/1/81 |
| _version_ | 1831794229833105408 |
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| author | Groenvold Mogens de Graeff Alexander Bottomley Andrew Aaronson Neil K Fayers Peter M Scott Neil W Gundy Chad Koller Michael Petersen Morten A Sprangers Mirjam AG |
| author_facet | Groenvold Mogens de Graeff Alexander Bottomley Andrew Aaronson Neil K Fayers Peter M Scott Neil W Gundy Chad Koller Michael Petersen Morten A Sprangers Mirjam AG |
| author_sort | Groenvold Mogens |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> |
| first_indexed | 2024-12-22T15:45:45Z |
| format | Article |
| id | doaj.art-df3633d16ea14b62ae214769cb58a8f8 |
| institution | Directory Open Access Journal |
| issn | 1477-7525 |
| language | English |
| last_indexed | 2024-12-22T15:45:45Z |
| publishDate | 2010-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Health and Quality of Life Outcomes |
| spelling | doaj.art-df3633d16ea14b62ae214769cb58a8f82022-12-21T18:21:01ZengBMCHealth and Quality of Life Outcomes1477-75252010-08-01818110.1186/1477-7525-8-81Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regressionGroenvold Mogensde Graeff AlexanderBottomley AndrewAaronson Neil KFayers Peter MScott Neil WGundy ChadKoller MichaelPetersen Morten ASprangers Mirjam AG<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p>http://www.hqlo.com/content/8/1/81 |
| spellingShingle | Groenvold Mogens de Graeff Alexander Bottomley Andrew Aaronson Neil K Fayers Peter M Scott Neil W Gundy Chad Koller Michael Petersen Morten A Sprangers Mirjam AG Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression Health and Quality of Life Outcomes |
| title | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
| title_full | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
| title_fullStr | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
| title_full_unstemmed | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
| title_short | Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression |
| title_sort | differential item functioning dif analyses of health related quality of life instruments using logistic regression |
| url | http://www.hqlo.com/content/8/1/81 |
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