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Cited by 174

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

A Within-Person Examination of Correlates of Performance and Emotions While Working

Fisher, Cynthia D., Noble, Christopher S.·2004·Human Performance

Abstract

In this article, we propose and test within-person hypotheses about real-time correlates of momentary performance and emotions while working. Experience sampling methodology was used to prompt repeated reports of momentary task cognitions and emotions. Hypotheses were largely supported, with task difficulty, skill, interest, and effort predicting momentary perceived performance within person. Task interest had an effect on performance beyond that due to its contribution to effort. Skill, interest, effort, and performance predicted concurrent emotions. The effect of effort on positive emotions was fully mediated through performance, whereas interest had an effect on emotions beyond performance. The effects of skill and effort on emotions changed sign when performance was controlled, suggesting that it is unpleasant to be skilled or exert effort when performance does not improve commensurately. Perceived performance accounts for unique variance in emotions beyond that due to other predictors. Further within-person research on real-time motivation, performance, and emotions is encouraged.

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Metadata

Authors
Fisher, C. D., & Noble, C. S.
Venue
Human Performance
Published
2004-04
Volume
17
Issue
2
Pages
145-168
ISSN
  • 0895-9285 (ISSN-L)
  • 1532-7043
OpenAlex
W2113207646
Cited by
174
References
8
FWCI
8.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Within-Person Examination of Correlates of Performance and Emotions While Working. https://app.cochat.ai/papers/10.1207/s15327043hup1702_2
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Fisher, C. D., & Noble, C. S. (2004). A Within-Person Examination of Correlates of Performance and Emotions While Working. Human Performance. https://doi.org/10.1207/s15327043hup1702_2

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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.