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Record W4237565893 · doi:10.1037/e578442014-198

Zuckerman's Revised Alternative Five-Factor Model: Validation of the Zuckerman-Kuhlman-Aluja Personality Questionnaire in four French speaking countries

2011· dataset· en· W4237565893 on OpenAlexaffabout
Cornelia Pocnet, Michel Hansenne, Nicolás Baudín, Julien Morizot, Jérôme Rossier

Bibliographic record

VenuePsycEXTRA Dataset · 2011
Typedataset
Languageen
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyPersonalitySocial psychologyStatisticsFactor (programming language)MathematicsComputer science

Abstract

fetched live from OpenAlex

The aim of this study was to analyze the replicability of Zuckerman's revised Alternative Five-factor model in a French-speaking context by validating the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ) simultaneously in 4 French-speaking countries.The total sample was made up of 1,497 subjects from Belgium, Canada, France, and Switzerland.The internal consistencies for all countries were generally similar to those found for the normative U.S. and Spanish samples.A factor analysis confirmed that the normative structure replicated well and was stable within this French-speaking context.Moreover, multigroup confirmatory factor analyses have shown that the ZKA-PQ reaches scalar invariance across these 4 countries.Mean scores were slightly different for women and men, with women scoring higher on Neuroticism but lower on Sensation Seeking.Globally, mean score differences across countries were small.Overall, the ZKA-PQ seems an interesting alternative to assess both lower and higher order personality traits for applied or research purposes.Most models of personality traits are hierarchical and consider that five independent dimensions allow for an economic and adequate description of these traits, the number of which depends on the model (Rossier, Meyer de Stadelhofen, & Berthoud, 2004).The best known and most commonly accepted model is certainly the Fivefactor model (FFM), which considers five dimensions or higher order traits named Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness, each dimension including six facets or lower order traits (Digman, 1990;McCrae & Costa, 1999).Zuckerman, Kuhlman, and Camac (1988) developed an Alternative Five-factor model (AFFM) considering five main dimensions named Impulsive Sensation Seeking, Neuroticism-Anxiety, Aggression-Hostility, Activity, and Sociability.Only a few studies investigated the traits of these dimensions (Zuckerman, 2002).Recently a revised version of the AFFM was proposed considering five slightly different main dimensions, each including four facets.The aim of this research was to evaluate the adequacy of this revised AFFM and the associated personality inventory in a French-speaking context and to assess the level of measurement invariance of this inventory across four French-speaking countries.To develop the AFFM, Zuckerman and colleagues (1988) studied the structure underlying 46 scales selected from eight inventories used as measures of temperament or involved in psychobiological studies of personality, and identified five replicable dimensions (Zuckerman, Kuhlman, Thornquist, & Kiers, 1991).As expected, these five dimensions appeared to be partially heritable (Angleitner, Riemann, & Spinath, 2004).Subsequently, Zuckerman, Kuhlman, Joireman, Teta, and Kraft (1993) developed the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ) to measure these five independent dimensions.Zuckerman (2002) also suggested that three dimensions might include two facet scales.Thus the Impulsive Sensation Seeking dimension included a sensation seeking and an impulsivity facet, the activity dimension contained a need for general activity and a need for work activity facet, and the Sociability dimension included a liking lively parties and friends and an intolerance of social isolation facet.Nevertheless, the small number of facet scales considered by the AFFM implies that the ZKPQ does not allow for obtaining a detailed personality profile.This lack of information at the facet level might be considered a weakness, especially for psychological assessment in a clinical or organizational setting, where facet-level assessment is appreciated (Aluja, Kuhlman, & Zuckerman, 2010).Several researchers have compared the AFFM with other personality models and found good construct validity or convergence for four out of the five dimensions of this model (Aluja, Garcia, Cuevas, & Garcia, 2007;Aluja, Garcia, & Garcia, 2002).

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)0.022
metaresearch head score (Gemma)0.030
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: Dataset · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.104
GPT teacher head0.388
Teacher spread0.284 · 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
GenreDataset

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
Published2011
Admission routes2
Has abstractyes

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Same venuePsycEXTRA DatasetSame topicPsychological Testing and AssessmentFrench-language works237,207