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On the dimensionality of organizational justice: A construct validation of a measure.
Abstract
This study explores the dimensionality of organizational justice and provides evidence of construct validity for a new justice measure. Items for this measure were generated by strictly following the seminal works in the justice literature. The measure was then validated in 2 separate studies. Study 1 occurred in a university setting, and Study 2 occurred in a field setting using employees in an automobile parts manufacturing company. Confirmatory factor analyses supported a 4-factor structure to the measure, with distributive, procedural, interpersonal, and informational justice as distinct dimensions. This solution fit the data significantly better than a 2- or 3-factor solution using larger interactional or procedural dimensions. Structural equation modeling also demonstrated predictive validity for the justice dimensions on important outcomes, including leader evaluation, rule compliance, commitment, and helping behavior.
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“A sense of justice and fairness among subordinates strengthens their commitment and level of cooperation in the workplace and improves their job performance (Colquitt, 2001).”
From Exploring the Moderating Effect of Ethical Project Management Practices in the Success of IT Project: Evidence From the Public Sector (2026) · cites this paper as Colquitt, 2001
In the citing paper
“In terms of the impact of fairness and justice, according to Colquitt (2001), the moderating impact of justice and/or fairness on employee commitment and performance correlates with perceptions of justice in an organization (beta = 0.16, R 2 = 0.053).”
From Exploring the Moderating Effect of Ethical Project Management Practices in the Success of IT Project: Evidence From the Public Sector (2026) · cites this paper as Colquitt (2001)
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Metadata
- Authors
- Colquitt, J. A.
- Venue
- Journal of Applied Psychology
- Published
- 2001-06
- Volume
- 86
- Issue
- 3
- Pages
- 386-400
- ISSN
- 1939-1854
- 0021-9010
- Cited by
- 4,114
- References
- 14
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.