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PERSONALITY DIMENSIONS EXPLAINING RELATIONSHIPS BETWEEN INTEGRITY TESTS AND COUNTERPRODUCTIVE BEHAVIOR: BIG FIVE, OR ONE IN ADDITION?

2007· article· en· W2033672841 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePersonnel Psychology · 2007
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsBrock UniversityUniversity of CalgaryWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyGeneralizability theoryPersonalityHonestySocial psychologyCounterproductive work behaviorIncremental validityBig Five personality traitsPopulationTest validityPersonality Assessment InventoryStructural equation modelingPsychometricsDevelopmental psychologyStatisticsOrganizational citizenship behavior

Abstract

fetched live from OpenAlex

Although the criterion‐related validity of integrity tests is well established, there has not been enough research examining which personality constructs contribute to their criterion‐related validity. Moreover, evidence of how well findings on integrity tests in North America generalize to non‐English speaking countries is virtually absent. This research addressed these issues with data obtained from employees and students in Canada and Germany (total N = 853). Specifically, we tested the hypotheses that (a) Honesty–Humility, as specified in the HEXACO model of personality, is relatively more important than the Big 5 dimensions of personality in accounting for the criterion‐related validity of overt integrity tests, whereas (b) the Big 5 are relatively more important in explaining the validity of personality‐based integrity tests. These predictions were tested using 2 criteria (counterproductive work behavior and counterproductive academic behavior) as well as 2 overt and 2 personality‐based integrity tests. We found evidence of the expected differences between types of integrity tests largely regardless of culture of the sample, specific test, criterion, or population under research, pointing to some degree of generalizability of findings in integrity testing research. Implications include theoretical refinements in research on integrity testing and encouragement of practical applications beyond North America.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.209
GPT teacher head0.420
Teacher spread0.212 · 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