Literature DB >> 27747969

Language-related differential item functioning between English and German PROMIS Depression items is negligible.

H Felix Fischer1,2, Inka Wahl3, Sandra Nolte1,4, Gregor Liegl1, Elmar Brähler5,6, Bernd Löwe3, Matthias Rose1,7.   

Abstract

To investigate differential item functioning (DIF) of PROMIS Depression items between US and German samples we compared data from the US PROMIS calibration sample (n = 780), a German general population survey (n = 2,500) and a German clinical sample (n = 621). DIF was assessed in an ordinal logistic regression framework, with 0.02 as criterion for R2 -change and 0.096 for Raju's non-compensatory DIF. Item parameters were initially fixed to the PROMIS Depression metric; we used plausible values to account for uncertainty in depression estimates. Only four items showed DIF. Accounting for DIF led to negligible effects for the full item bank as well as a post hoc simulated computer-adaptive test (< 0.1 point on the PROMIS metric [mean = 50, standard deviation =10]), while the effect on the short forms was small (< 1 point). The mean depression severity (43.6) in the German general population sample was considerably lower compared to the US reference value of 50. Overall, we found little evidence for language DIF between US and German samples, which could be addressed by either replacing the DIF items by items not showing DIF or by scoring the short form in German samples with the corrected item parameters reported.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Item-Response Theory; PROMIS; depression; differential item functioning; outcome assessment; patient-reported outcomes

Mesh:

Year:  2016        PMID: 27747969      PMCID: PMC6877152          DOI: 10.1002/mpr.1530

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


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  7 in total

1.  Language-related differential item functioning between English and German PROMIS Depression items is negligible.

Authors:  H Felix Fischer; Inka Wahl; Sandra Nolte; Gregor Liegl; Elmar Brähler; Bernd Löwe; Matthias Rose
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