| Title |
Longitudinal measurement invariance of the Dutch Outcome Questionnaire-45 in a clinical sample
|
|---|---|
| Published in |
Quality of Life Research, February 2017
|
| DOI | 10.1007/s11136-017-1500-1 |
| Pubmed ID | |
| Authors |
Ruslan Jabrayilov, Wilco H. M. Emons, Kim de Jong, Klaas Sijtsma |
| Abstract |
In the absence of measurement invariance across measurement occasions, change scores based on pretest-posttest measurements may be inaccurate representations of real change on the latent variable. In this study, we examined whether measurement invariance held in the Dutch version of Outcome Questionnaire-45 (OQ-45). Using secondary data analysis of a sample of N = 540 Dutch outpatients, we tested the stability of the factorial structure (gamma change) and the metric and scalar invariance (beta change) across pretest and posttest measurements using a combination of factor analysis and item response theory methodology. Results revealed a stable factorial structure from pretest to posttest and minor violations of metric invariance for two items in the Dutch OQ-45. Even though for two items the assumption of invariance was violated, results suggest that the effects of these violations on practical change assessment using the OQ-45 were negligible. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Spain | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 29% |
| Mathematics | 3 | 13% |
| Medicine and Dentistry | 3 | 13% |
| Social Sciences | 3 | 13% |
| Computer Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 May 2017.
All research outputs
#7,009,265
of 22,953,506 outputs
Outputs from Quality of Life Research
#745
of 2,907 outputs
Outputs of similar age
#135,993
of 426,820 outputs
Outputs of similar age from Quality of Life Research
#14
of 70 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,907 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 72% of its peers.
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We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.