Instruments for Measuring the Resilience of Indigenous Adolescents: An Exploratory Review
Bibliographic record
Abstract
Introduction: Resilience is enabled by internal, individual assets as well as the resources available in a person’s environment to support healthy development. For Indigenous people, these resources and assets can include those which enhance cultural resilience. Measurement instruments which capture these core resilience constructs are needed, yet there is a lack of evidence about which instruments are most appropriate and valid for use with Indigenous adolescents. The current study reviews instruments which have been used to measure the resilience of Indigenous adolescents in Canada, Australia, New Zealand and the United States (the CANZUS nations). The aim is to provide guidance for the future use of instruments to measure resilience among Indigenous adolescents and provide recommendations for research to strengthen evidence in this area. Method: Instruments were identified through a systematic search of resilience intervention and indicator studies targeting Indigenous youth from CANZUS nations. The studies were analysed for information on the constructs of resilience measured in the instruments, their use with the targeted groups, and their psychometric properties. A second search was conducted to fill in any gaps in information. Instruments were included if they measured at least one construct of resilience reflecting individual assets, environmental resources and/or cultural resilience. Results: A total of 20 instruments were identified that measured constructs of resilience and had been administered to Indigenous adolescents in the CANZUS nations. Instruments which measured both individual assets and environmental resources (n=7), or only environmental resources (n=6) were most common. Several instruments (n=5) also measured constructs of cultural resilience, and two instruments included items addressing all three constructs of individual assets, environmental resources and cultural resilience. The majority of the reviewed studies tested the reliability (75%) and content or face validity (80%) of instruments with the target population. Conclusion: There are several validated instruments available to appropriately measure constructs of resilience with Indigenous adolescents from CANZUS nations. Further work is needed on developing a consistent framework of resilience constructs to guide research efforts. Future instrument development and testing ought to focus on measures which include elements of all three core constructs critical to Indigenous adolescent resilience.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".