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Record W2581558342 · doi:10.1177/0734282916689439

Validity Evidence Based on Internal Structure of Scores of the Emotional Quotient Inventory: Youth Version Short (EQ-i: YV-S) in a Chinese Sample

2017· article· en· W2581558342 on OpenAlexaff
Igor Esnaola, Víctor B. Arias, John Freeman, Yina Wang, Benito Arias Martínez

Bibliographic record

VenueJournal of Psychoeducational Assessment · 2017
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsQueen's University
FundersEuskal Herriko Unibertsitatea
KeywordsPsychologyReliability (semiconductor)Sample (material)Short FormsDevelopmental psychologyClinical psychologyStatisticsPower (physics)Mathematics

Abstract

fetched live from OpenAlex

Given the lack of any Chinese instrument validated for emotional intelligence (EI) among adolescents, the purpose of this study was to explore new sources of validity evidence drawn from scores on the Emotional Quotient Inventory: Youth Version Short (EQ-i: YV-S) in a sample of Chinese adolescents. The sample was composed of 406 adolescents (236 girls). Results support the multidimensionality of the EQ-i: YV-S, but its hierarchical structure did not receive empirical support. Three of the four main subscales (all but interpersonal) had acceptable reliability indices. In addition, although the impact of the Positive Impression subscale on responses to the main scales was generally low, the effect is not ignorable, and its impact should be modeled in further investigations of the EQ-i: YV-S. Finally, four main subscales of EQ-i: YV-S showed significant power in the prediction of general self-concept and moderate temporal stability. The findings provide overall support for the reliability and validity of the Chinese version of EQ-i: YV-S.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.152
GPT teacher head0.447
Teacher spread0.295 · 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.

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

Citations11
Published2017
Admission routes1
Has abstractyes

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