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Cited by 292

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Effect of Implicit Person Theory on Performance Appraisals.

Open access
Heslin, Peter A., Latham, Gary P., VandeWalle, Don·2005·Journal of Applied Psychology

Abstract

Four studies examined whether implicit person theory (IPT) regarding the malleability of personal attributes (e.g., personality and ability) affects managers' acknowledgment of change in employee behavior. The extent to which managers held an incremental IPT was positively related to their recognition of both good (Study 1) and poor (Study 2) performance, relative to the employee behavior they initially observed. Incremental theorists' judgments were not anchored by their prior impressions (Study 3). In the 4th study, entity theorists who were randomly assigned to a self-persuasion training condition developed a significantly more incremental IPT. This change in IPT was maintained over a 6-week period and led to greater acknowledgment of an improvement in employee performance than was exhibited by entity theorists in the placebo control group.

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Crossref · 10.1037/0021-9010.90.5.842

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Metadata

Authors
Heslin, P. A., Latham, G. P., & VandeWalle, D.
Venue
Journal of Applied Psychology
Published
2005-09
Volume
90
Issue
5
Pages
842-856
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2157628975
Cited by
292
References
9
FWCI
30.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Effect of Implicit Person Theory on Performance Appraisals. https://app.cochat.ai/papers/10.1037/0021-9010.90.5.842
The paper
Heslin, P. A., Latham, G. P., & VandeWalle, D. (2005). The Effect of Implicit Person Theory on Performance Appraisals. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.90.5.842

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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.