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Cited by 302

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Personality Trait Inferences About Organizations: Development of a Measure and Assessment of Construct Validity.

Slaughter, Jerel E., Zickar, Michael J., Highhouse, Scott, Mohr, David C.·2004·Journal of Applied Psychology

Abstract

The authors conducted 4 studies to construct a multidimensional measure of perceptions of organization personality. Results of the first 2 studies suggest that (a) 5 broad factors are sufficient to capture the structure of organization personality perceptions, (b) real-world organizations differ on personality profiles, and (c) personality trait inferences are related to organizational attraction. Results of a 3rd study suggest that personality trait inferences assessed in 1 sample are related lo ratings of organizational attractiveness by a 2nd sample. Finally, results of a 4th study suggest that the measure is sensitive to experimental manipulations of organizational descriptions. Implications and suggestions for the use of this measure in future research are discussed.

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Metadata

Authors
Slaughter, J. E., Zickar, M. J., Highhouse, S., & Mohr, D. C.
Venue
Journal of Applied Psychology
Published
2004-02
Volume
89
Issue
1
Pages
85-103
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2118454708
Cited by
302
References
5
FWCI
8.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Personality Trait Inferences About Organizations: Development of a Measure and Assessment of Construct Validity. https://app.cochat.ai/papers/10.1037/0021-9010.89.1.85
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Slaughter, J. E., Zickar, M. J., Highhouse, S., & Mohr, D. C. (2004). Personality Trait Inferences About Organizations: Development of a Measure and Assessment of Construct Validity. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.89.1.85

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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.