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Record W3183616593 · doi:10.1177/07342829211027751

Measuring Stressors Among Adolescents: Validation of the Positive and Negative Adolescent Life Experiences Scale

2021· article· en· W3183616593 on OpenAlexaff
Fernando Núñez‐Regueiro, Isabelle Archambault, Pascal Bressoux, Cécile Nurra

Bibliographic record

VenueJournal of Psychoeducational Assessment · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyStressorDisengagement theoryDistressScale (ratio)Construct validityDevelopmental psychologyClinical psychologyMeasurement invarianceTest validityConcurrent validityReliability (semiconductor)Discriminant validityPsychometricsStructural equation modelingConfirmatory factor analysis

Abstract

fetched live from OpenAlex

This article develops and validates the Positive and Negative Adolescent Life Experiences (PANALE) scale, a 11-item tool that enables researchers to measure adolescent stressors in a more valid and efficient manner than existing adolescent stressors scales. The PANALE presents good psychometric qualities, in terms of construct validity (factorial structure, measurement invariance, and composite reliability) and concurrent validity with regard to eustress and distress symptoms in a French sample of high school adolescents ( N = 1513). Overall, the PANALE provides a viable alternative to existing methods for conducting quantitative research on adolescent stress processes, notably those related to school disengagement and dropout processes.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.319
Teacher spread0.292 · 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 teacher head, 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".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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