The validation of a workplace incivility scale within the South African banking industry
Bibliographic record
Abstract
Orientation: Workplace incivility holds consequences for both individuals and organisations. Managers are becoming increasingly aware of this phenomenon. Currently, there is no workplace incivility scale validated for use within the South African context. Research purpose: To investigate the reliability and validity of the adapted workplace incivility scale by Leiter and colleagues for use within South Africa. Motivation for the study: As it is currently difficult to measure workplace incivility within the South African context because of the lack of a valid and reliable scale, it is necessary to validate such a scale.Research design, approach and method: A cross-sectional research approach was used for the study. Convenience sampling (N = 345) was used within the South African banking industry. Specifically, the factor structure, convergent validity, discriminant validity and predictive validity were investigated in order to establish the overall validity of the scale. Main findings: The results confirmed that the scale showed a three-factor structure as bestfitting with acceptable reliability coefficients. Furthermore, discriminant validity could be shown between workplace incivility and workplace bullying, that is, supporting that these two constructs are not the same phenomenon. In terms of relationships, colleague incivility did not significantly predict any of the outcome variables and instigated incivility only being a negative predictor of job satisfaction and a borderline statistically significant negative predictor of work engagement. However, supervisor incivility predicted all the outcomes negatively. Practical/Managerial implications: Based on the results, workplace incivility should be addressed because of the harmful effects it can have, not only on employees but also on organisations. It is therefore necessary for managers to create awareness of workplace incivility in order to ensure that it does not integrate within the organisational culture and affect individual and organisational performance. Contribution/Value-add: The study contributes to the limited research available in South Africa regarding workplace incivility by providing a scale that is valid and reliable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".