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Record W2528119578 · doi:10.1177/0306624x16672931

Child and Adolescent Disposition Model: An Examination of the Temperament Factor Structure Within Early Childhood

2016· article· en· W2528119578 on OpenAlexaffabout
Jeff Mathesius, Patrick Lussier, Raymond R. Corrado

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2016
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversité LavalSimon Fraser University
Fundersnot available
KeywordsTemperamentPsychologyUncorrelatedDevelopmental psychologyConfirmatory factor analysisEmotionalityDispositionEarly childhoodPersonalityStructural equation modelingSocial psychologyStatistics

Abstract

fetched live from OpenAlex

Lahey and Waldman proposed a temperament theory of conduct disorder (CD). Critical is the hypothesized temperament structure in which three relatively uncorrelated temperament dimensions (i.e., negative emotionality, daring, prosociality) central to CD are theorized to emerge in early childhood. The validity of this hypothesized factor structure in early childhood is unknown. The current study seeks to fill this gap by examining Lahey and Waldman's hypothesized temperament structure utilizing a Canadian sample ( n = 283) of preschoolers. Confirmatory factor analyses (CFAs) were performed to compare the hypothesized relatively uncorrelated temperament structure with two alternative models (i.e., correlated three-factor and single-factor structure). The CFA indicated that the temperament dimensions are present in early childhood and are relatively uncorrelated consistent with previous work at later developmental stages. Of importance, the findings highlighted key gender differences observable at 3 and 4 years of age. The theoretical implications are discussed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.120
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.105
GPT teacher head0.324
Teacher spread0.219 · 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".

Quick stats

Citations10
Published2016
Admission routes2
Has abstractyes

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Same venueInternational Journal of Offender Therapy and Comparative CriminologySame topicBullying, Victimization, and AggressionFrench-language works237,207