Psychometric properties of the Community Integration Questionnaire: a systematic review of five populations
Bibliographic record
Abstract
OBJECTIVES: This systematic review documents the content and the quality of the psychometric evidence concerning the utilization of the Community Integration Questionnaire for individuals living with a disability other than a traumatic brain injury. DATA SOURCES: Medline, Embase, CINAHL, OTseeker and PsycINFO (searched from inception to June 2019). REVIEW METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used for conducting and reporting this review. Studies that investigated at least one psychometric property of the Community Integration Questionnaire for individuals living with a disability other than traumatic brain injury were included. Data extraction and critical methodological appraisal of the articles (MacDermid checklist, COnsensus-based Standards for the selection of health Measurement INstruments checklist) were independently performed and validated by the first two authors. RESULTS: = 0.71-0.84). Construct validity is fairly documented for adults living with multiple sclerosis or aphasia and in mixed samples. Test-retest reliably is acceptable for adults living with multiple sclerosis (intraclass correlation coefficient = 0.91-0.97) as well as responsiveness (area under the receiver operating characteristic curve = 0.81). Other psychometric properties could not be demonstrated sufficiently solid. CONCLUSION: Many psychometric properties of the Community Integration Questionnaire are still poorly evaluated for adults living with a disability other than a traumatic brain injury. However, promising data have been documented in each population included in this review.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.180 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".