French cross-cultural adaptation of the Organizational Readiness for Implementing Change (ORIC)
Bibliographic record
Abstract
BACKGROUND: Organizational readiness is a factor known to influence the predisposition of individuals within an organization to change. Based on Weiner's organizational theory, the "Organizational Readiness for Implementing Change" (ORIC) questionnaire was developed and validated to measure organizational readiness in healthcare contexts. However, no such tools allow French-speaking organizations to measure this concept. The objectives of this study were to (1) conduct a French cultural adaptation of the ORIC questionnaire, and (2) initiate the study of its psychometric properties. METHODS: (1) Cross-cultural adaptation and translation processes were first conducted with the methodologies of Beaton, Vallerand and Massoubre. (2) Subsequently, internal consistency was documented by calculating Cronbach's alpha and inter-item and item-to-scale correlations. The study of construct validity was initiated with a confirmatory factor analysis. RESULTS: A French 10-item scale named the Réceptivité organisationnelle à l'implantation d'un changement (ROIC) was developed and pretested by 125 occupational therapists working in Quebec homecare services. Cronbach's alpha values for the 2 item subscales show satisfactory internal consistency (Commitment: α = 0.84 and Efficacy: α = 0.86). Inter-item correlations revealed that the ROIC's items are moderately related to each other while item-to-total scale correlations pinpoint items that accounts for variance and influence internal consistency. Confirmatory factor analysis allowed the initiation of a substantial documentation of ROIC's model fit with the original version (CFI = 0.89, TLI = 0.85, SRMR = 0.08, and RMSEA = 0.12). CONCLUSIONS: The ROIC is a new theory-based and translated questionnaire that can be used to rigorously document the organizational readiness of French organizations. The ROIC has the potential to support members of different organizations in the identification of subsequent efforts for the implementation of a change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".