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Record W2994749376 · doi:10.1111/ijsa.12278

Personality, interview faking, and the mediating role of attitudes, norms, and perceived behavioral control

2019· article· en· W2994749376 on OpenAlexafffund
Joshua S. Bourdage, Joseph A. Schmidt, Jocelyn Wiltshire, Brenda Nguyen, Clara Lee

Bibliographic record

VenueInternational Journal of Selection and Assessment · 2019
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of LethbridgeUniversity of SaskatchewanUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyConscientiousnessHonestySocial psychologyPersonalityHumilityTheory of planned behaviorBig Five personality traitsExtraversion and introversionControl (management)

Abstract

fetched live from OpenAlex

Abstract This study investigated the psychological processes underlying interview faking, and that link personality to interview faking. In a sample of 198 recent interviewees, surveyed across three time points, we examined the mediating role of three constructs from the theory of planned behavior (TPB; i.e., attitudes, subjective norms, and perceived behavioral control) in explaining the relationship between the traits of Honesty–Humility and Conscientiousness and one form of interview faking (i.e., extensive image creation). Results indicated that all three TPB constructs correlated with interview faking, although only attitudes and subjective norms predicted faking incrementally. Attitudes and norms mediated the relationships between Honesty–Humility and Conscientiousness and interview faking. This study provides insight into interview faking, and the link between personality and interview faking.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.690

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 science0.0000.000
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 head0.029
GPT teacher head0.398
Teacher spread0.370 · 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

Citations7
Published2019
Admission routes2
Has abstractyes

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