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Development and validation of the youth development instrument (YDI): A comprehensive survey of adolescent health and well-being

2025· article· en· W4413845098 on OpenAlexafffundabout
Hasina Samji, Jorge Andrés Delgado‐Ron, Kimberly A. Schonert‐Reichl, Martin Guhn, David Long, Jenna Whitehead, Lauren Gorfinkle, Giulia de Arruda Maluf, Judy Wu, Julia Kaufmann, Jose M. del Casal, Jacqueline Maloney

Bibliographic record

VenueChildren and Youth Services Review · 2025
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of British ColumbiaBC Children's HospitalBC Centre for Disease ControlSimon Fraser University
FundersCanadian Institutes of Health ResearchBritish Columbia Centre for Disease ControlUniversity of British ColumbiaSimon Fraser University
KeywordsPsychologyPositive Youth DevelopmentSurvey instrumentApplied psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Rationale Strengths-based approaches are urgently needed to protect and promote adolescent well-being in the United States and Canada, where adolescent happiness and mental health rank among the lowest of the world’s wealthiest countries. Identifying protective and promotive factors for adolescent well-being is critical for guiding policy, public health, and education sector responses as adolescents face unprecedented challenges. Objective We examined the dimensionality and psychometric properties of the Youth Development Instrument (YDI), a comprehensive survey of adolescent health and well-being within a longitudinal well-being monitoring system. The YDI draws predominantly from existing, validated measures identified as fundamental to adolescent well-being. Methods We describe the survey creation process in consultation with adolescents, interdisciplinary experts, and partners in adolescent development, medicine, policy, psychology, psychiatry, education, and public health. We conducted psychometric analysis of the YDI pilot implementation among 2295 eleventh-grade students across 31 schools in British Columbia, Canada, in 2021. We examined each measure’s dimensionality and relationship with thriving, resilience, and prosocial orientation to assess their construct validity. Results Exploratory and confirmatory factor analyses demonstrated the uni-dimensionality of each measure. Most measures had good or excellent internal consistency (mean Cronbach’s α: 0.85) and demonstrated moderate or large magnitude correlations to thriving, resilience, and/or prosocial orientation and small correlations with family affluence as hypothesized. Correlation patterns aligned with theoretical literature. Conclusion The YDI is a comprehensive and psychometrically sound survey of adolescents’ well-being and protective and promotive factors. The YDI’s linkable nature also creates potential for measuring population-level mental health and wellbeing trajectories. Development and Validation of the Youth Development Instrument (YDI): A Comprehensive Survey of Adolescent Health and Well-Being.

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)0.019
metaresearch head score (Gemma)0.016
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 score0.185
Threshold uncertainty score0.367

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.061
GPT teacher head0.378
Teacher spread0.318 · 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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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