| Title |
Differential item functioning (DIF) of SF-12 and Q-LES-Q-SF items among french substance users
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, October 2015
|
| DOI | 10.1186/s12955-015-0365-7 |
| Pubmed ID | |
| Authors |
Stéphanie Bourion-Bédès, Raymund Schwan, Vincent Laprevote, Alex Bédès, Jean-Louis Bonnet, Cédric Baumann |
| Abstract |
Differential Item Functioning (DIF) is investigated to ensure that each item displays a consistent pattern of responses irrespective of the characteristics of the respondents. Assessing DIF helps to understand the nature of instruments, to assess the quality of a measure and to interpret results. This study aimed to examine whether the items of the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) and Short-Form 12 (SF-12) exhibit DIF. A total of 124 outpatients diagnosed with substance dependence participated in a cross-sectional, multicenter study. In addition to the Q-LES-Q-SF and SF-12 results, demographic data such as age, sex, type of substance dependence and education level were collected. Rasch analysis was conducted (using RUMM2020 software) to assess DIF of the Q-LES-Q-SF and SF-12 items. For SF-12, significant age-related uniform DIF was found in two of the 12 items, and sex-related DIF was found in one of the 12 items. All of the observed DIF effects in SF-12 were found among the mental health items. Three items showed DIF on the Q-LES-Q-SF; however, the impact of DIF item on the delta score calculation for the comparisons of self-reported health status between the groups was minimal in the SF-12 and small in the Q-LES-Q-SF. These results indicated that no major measurement bias affects the validity of the self-reported health status assessed using the Q-LES-Q-SF or SF-12. Thus, these questionnaires are largely robust measures of self-reported health status among substance users. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Bachelor | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 18 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Psychology | 7 | 13% |
| Nursing and Health Professions | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2015.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from Health and Quality of Life Outcomes
#1,304
of 2,158 outputs
Outputs of similar age
#166,268
of 283,725 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#23
of 45 outputs
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