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Record W1486056282 · doi:10.5117/2009.022.003.004

De zes belangrijkste persoonlijkheidsdimensies en de HEXACO Persoonlijkheidsvragenlijst

2009· article· en· W1486056282 on OpenAlexaff
Reinout E. de Vries, Michael C. Ashton, Kibeom Lee

Bibliographic record

VenueGedrag & Organisatie · 2009
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of CalgaryBrock University
Fundersnot available
KeywordsAgreeablenessPsychologyFacet (psychology)PersonalityConscientiousnessBig Five personality traits and cultureExtraversion and introversionPersonality Assessment InventoryAlternative five model of personalityBig Five personality traitsSensation seekingOpenness to experienceSocial psychology

Abstract

fetched live from OpenAlex

The six most important personality dimensions and the HEXACO Personality Inventory The six most important personality dimensions and the HEXACO Personality Inventory R.E. de Vries, M.C. Ashton & K. Lee, Gedrag & Organisatie, volume 22, September 2009, nr. 3, pp. 232-274 Recent lexical research on the structure of personality has revealed six independent and cross-cultural corresponding dimensions of personality in the same datasets that have led to the emergence of the Big Five model of personality. These six dimensions, Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience, constitute the HEXACO model of personality. In two studies, the psychometric properties of the Dutch HEXACO Personality Inventory (HEXACO-PI) and the Dutch HEXACO Personality Inventory-Revised (HEXACO-PI-R) and the relations of its factor- and facet-scales with background variables, the NEO-PI-R, the Dutch Personality Questionnaire (DPQ), and the Sensation Seeking Scale (SSS) are investigated. The results show that the HEXACO-PI(-R) has sound psychometric properties and is meaningfully related to the abovementioned questionnaires. Implications for personality research and assessment 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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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; both teacher heads agree on what is shown here.

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

Citations89
Published2009
Admission routes1
Has abstractyes

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