A Note on the Incremental Validity of Integrity Tests beyond Standard Personality Inventories for the Criterion of Counterproductive Behaviour
Bibliographic record
Abstract
Abstract Although the validity of integrity tests for predicting the focal criterion of counterproductive work behaviour (CWB) is well‐established, little research has yet addressed the incremental CWB‐related validity of integrity tests beyond basic personality traits. The present research addresses this issue by re‐analyzing data adopted from Marcus, Lee, and Ashton (2007), in which four different overt and personality‐based integrity tests and the HEXACO‐Personality Inventory (Lee & Ashton, 2004) were related to CWB. Integrity accounted for practically significant proportions of incremental variance beyond personality across all integrity tests, yet effect sizes of incremental validity dropped considerably if Honesty‐Humility was added to traditional Big Five dimensions. In addition, findings suggest that CWB is best predicted by a combination of integrity and personality tests. Copyright © 2013 ASAC. Published by John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".