Document Detail


Unidimensionality and reliability under Mokken scaling of the Dutch language version of the SF-36.
MedLine Citation:
PMID:  12639065     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The sub-scales of the SF-36 in the Dutch National Study are investigated with respect to unidimensionality and reliability. It is argued that these properties deserve separate treatment. For unidimensionality we use a non-parametric model from item response theory, called the Mokken scaling model, and compute the corresponding scalability coefficients. We estimate reliability under the Mokken model, assuming that the items are double homogeneous, and compare it to Cronbach's alpha. The scalability of the sub-scale general health perceptions is medium (H = 0.46), and for the other sub-scales it is strong (H > or = 0.6). The reliability in terms of alpha indicates that all sub-scales can be used in basic research (alpha > 0.70), but that only physical functioning can be used for clinical applications of quality of life (alpha > 0.90). The relative merits of our approach are discussed.
Authors:
P G M van der Heijden; S van Buuren; M Fekkes; J Radder; E Verrips
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Publication Detail:
Type:  Journal Article; Validation Studies    
Journal Detail:
Title:  Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation     Volume:  12     ISSN:  0962-9343     ISO Abbreviation:  Qual Life Res     Publication Date:  2003 Mar 
Date Detail:
Created Date:  2003-03-17     Completed Date:  2003-04-03     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  9210257     Medline TA:  Qual Life Res     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  189-98     Citation Subset:  IM    
Affiliation:
Department of Statistics, TNO Prevention and Health, Leiden, The Netherlands. pgm.vanderheijden@pg.tno.nl
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MeSH Terms
Descriptor/Qualifier:
Humans
Models, Statistical
Netherlands
Quality of Life*
Questionnaires*
Reproducibility of Results
Sickness Impact Profile*
Translating*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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