Using the CYRM-28 With South African Young People: A Factor Structure Analysis
Bibliographic record
Abstract
Purpose: The factor structure of the Child and Youth Resilience Measure (CYRM-28) was originally established using a Canadian sample. This factor structure was not confirmed in a study with New Zealand youth. Given such variability, the current study investigated the factor structure of the CYRM-28 in a sample of Sesotho-speaking South African youth who participated in Pathways to Resilience Study. Method: Using latent variable modeling, we tested six varied models in two randomly selected samples ( n 1 = 559; n 2 = 578). Results: Fit statistics indicated that a three-factor variation of the New Zealand model, namely, individual, family/relational, and composite context, fitted best. The contextual composite synthesizes the CYRM-28 clusters that measure social skills, educational, spiritual, community, and cultural resources. Conclusion: The contextual composite reflects traditional African ways of being. Accordingly, understanding the factor structure of the CYRM-28 precedes practitioner capacity to promote resilience in an evidence-informed way.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".