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Record W4367669146 · doi:10.1002/acr.25139

Validity, Reliability, and Differential Item Functioning of English and French Versions of the <scp>10‐Item Connor‐Davidson</scp> Resilience Scale in Systemic Sclerosis: A Scleroderma <scp>Patient‐Centered</scp> Intervention Network Cohort Study

2023· article· en· W4367669146 on OpenAlexafffund
Marieke Alexandra Neyer, Richard S. Henry, Marie‐Eve Carrier, Linda Kwakkenbos, Robyn K. Wojeck, Amy Gietzen, Karen Gottesman, Geneviève Guillot, Amanda Lawrie‐Jones, Maureen D. Mayes, Luc Mouthon, Warren R. Nielson, Michelle Richard, Maureen Worron‐Sauvé, Daphna Harel, Vanessa L. Malcarne, Susan J. Bartlett, Brett D. Thombs

Bibliographic record

VenueArthritis Care & Research · 2023
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsWestern UniversityMultiple Sclerosis Society of CanadaMcGill UniversityMcGill University Health CentreLawson Health Research InstituteJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsCronbach's alphaConfirmatory factor analysisClinical psychologyDifferential item functioningConvergent validityIntraclass correlationPsychological resiliencePsychologyItem response theoryConfidence intervalHospital Anxiety and Depression ScaleMedicinePsychometricsAnxietyGerontologyPhysical therapyPsychiatryStructural equation modelingInternal medicineStatisticsInternal consistency

Abstract

fetched live from OpenAlex

OBJECTIVE: Some individuals with systemic sclerosis (SSc) report positive mental health, despite severe disease manifestations, which may be associated with resilience, but no resilience measure has been validated in SSc. This study was undertaken to assess the validity, reliability, and differential item functioning (DIF) between English- and French-language versions of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) in SSc. METHODS: Eligible participants were enrolled in the Scleroderma Patient-centered Intervention Network Cohort and completed the CD-RISC-10 between August 2022 and January 2023. We used confirmatory factor analysis (CFA) to evaluate the CD-RISC-10 factor structure and conducted DIF analysis across languages with Multiple Indicators Multiple Causes models. We tested convergent validity with another measure of resilience and measures of self-esteem and depression and anxiety symptoms. We assessed internal consistency and test-retest reliability using Cronbach's alpha and intraclass correlation coefficient (ICC). RESULTS: A total of 962 participants were included in this analysis. CFA supported a single-factor structure (Tucker-Lewis index = 0.99, comparative fit index = 0.99, root mean square error of approximation = 0.08 [90% confidence interval (90% CI) 0.07, 0.09]). We found no meaningful DIF. Internal consistency was high (α = 0.93 [95% CI 0.92, 0.94]), and we found that correlations with other measures of psychological functioning were moderate to large (|r| = 0.57-0.78) and confirmed study hypotheses. The scale showed good 1-2-week test-retest reliability (ICC 0.80 [95% CI 0.75, 0.85]) in a subsample of 230 participants. CONCLUSION: The CD-RISC-10 is a valid and reliable measure of resilience in SSc, with score comparability across English and French versions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.290
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2023
Admission routes2
Has abstractyes

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