4.5 Article

A Rasch model analysis of two interpretations of 'not relevant' responses on the Dermatology Life Quality Index (DLQI)

期刊

QUALITY OF LIFE RESEARCH
卷 30, 期 8, 页码 2375-2386

出版社

SPRINGER
DOI: 10.1007/s11136-021-02803-7

关键词

Psoriasis; Dermatology Life Quality Index; Psychometrics; Rasch model; ‘ not relevant’ response; DLQI-R

资金

  1. Corvinus University of Budapest
  2. Higher Education Institutional Excellence Program 2020 of the Ministry for Innovation and Technology in Hungary [TKP2020-IKA-02]

向作者/读者索取更多资源

This study compared the measurement performance of DLQI in psoriasis patients when NRRs were scored as '0' and 'missing' using Rasch model analysis. The results showed that scoring NRRs as missing improved the measurement performance of the scale. However, DLQI scores of patients with NRRs cannot be directly compared with those without NRRs.
Purpose Eight of the ten items of the Dermatology Life Quality Index (DLQI) have a 'not relevant' response (NRR) option. There are two possible ways to interpret NRRs: they may be considered 'not at all' or missing responses. We aim to compare the measurement performance of the DLQI in psoriasis patients when NRRs are scored as '0' (hereafter zero-scoring) and 'missing' (hereafter missing-scoring) using Rasch model analysis. Methods Data of 425 patients with psoriasis from two earlier cross-sectional surveys were re-analysed. All patients completed the paper-based Hungarian version of the DLQI. A partial credit model was applied. The following model assumptions and measurement properties were tested: dimensionality, item fit, person reliability, order of response options and differential item functioning (DIF). Results Principal component analysis of the residuals of the Rasch model confirmed the unidimensional structure of the DLQI. Person separation reliability indices were similar with zero-scoring (0.910) and missing-scoring (0.914) NRRs. With zero-scoring, items 6 (sport), 7 (working/studying) and 9 (sexual difficulties) suffered from item misfit and item-level disordering. With missing-scoring, no misfit was observed and only item 7 was illogically ordered. Six and three items showed DIF for gender and age, respectively, that were reduced to four and three by missing-scoring. Conclusions Missing-scoring NRRs resulted in an improved measurement performance of the scale. DLQI scores of patients with at least one vs. no NRRs cannot be directly compared. Our findings provide further empirical support to the DLQI-R scoring modification that treats NRRs as missing and replaces them with the average score of the relevant items.

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