Validation of the Children’s Intrinsic Needs Satisfaction Scale among Canadian youth: psychometric properties,criterion-related validity and multitrait multimethodconfirmatory factor analysis
Bibliographic record
Abstract
INTRODUCTION: Based on self-determination theory, the Children's Intrinsic Needs Satisfaction Scale (CINSS) measures autonomy, competence and relatedness at school, home and with peers. The factor structure and criterion-related validity of the CINSS in the Canadian youth population are tested using data from the Canadian Student Tobacco, Alcohol and Drugs Survey (CSTADS). METHODS: Data from the 2014/2015 CSTADS were analyzed for evidence of convergent and discriminant validity and for method variance. A multitrait multimethod (MTMM) confirmatory factor analysis (CFA) was conducted to account for the conceptual structure of the measure. Criterion-related validity was demonstrated through correlations between related constructs, prosocial behaviours and behavioural problems, and the CINSS subscale scores. Mean differences on CINSS subscale scores between those who reported and did not report being bullied or bullying others were also examined. RESULTS: Correlation analyses demonstrated that, in general, correlations were higher between concept/context item pairs and lowest between items measuring different concepts and contexts. Cronbach's alpha for concept and context subscales were high: α = 0.77 for autonomy, α = 0.85 for competence and α = 0.79 for relatedness. A MTMM CFA demonstrated that the model fit the data well, with no modifications. Criterion-related validity was demonstrated through correlations between CINSS subscales and related concepts or mean differences on CINSS subscales between groups. CONCLUSION: The CINSS demonstrates good internal consistency, factorial validity and criterion-related validity in this sample of Canadian students. The measurement of positive mental health among Canadian youth is central to surveillance efforts which will help inform mental health promotion activities across Canada.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".