• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression

Scott, Neil W; Fayers, Peter; Aaronson, Neil K; Bottomley, Andrew; de Graeff, Alexander; Groenvold, Mogens; Gundy, Chad; Koller, Michael; Petersen, Morten A; Sprangers, Mirjam AG
Journal article, Peer reviewed
Thumbnail
View/Open
1477-7525-8-81.pdf (313.6Kb)
URI
http://hdl.handle.net/11250/2356324
Date
2010
Metadata
Show full item record
Collections
  • Institutt for klinisk og molekylær medisin [2069]
  • Publikasjoner fra CRIStin - NTNU [20888]
Original version
Health and Quality of Life Outcomes 2010, 8   10.1186/1477-7525-8-81
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.
Publisher
BioMed Central
Journal
Health and Quality of Life Outcomes

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit