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Cited by 273

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

Beyond Negative Affectivity: Measuring Stress and Satisfaction in the Workplace

Watson, David, Pennebaker, James W, Folger, Robert·1987·Journal of Organizational Behavior Management

Abstract

Stress researchers frequently use self-report measures to assess stress, health, psychological adjustment, and subjective dissatisfaction. We present evidence demonstrating that all of these variables are highly intercorrelated and reflect a common underlying factor of Negative Affectivity (NA). NA is a stable and pervasive personality dimension-high NA individuals report more stress, distress and physical complaints, even in the absence of any objective stressor or health problem. Thus, NA may operate as a substantial nuisance factor in many areas of research. To circumvent its influence, investigators can use non-subjective measures of stress and health. Finally, we present a two-factor model of stress and satisfaction that includes, in addition to NA, the independent factor of Positive Affectivity (PA), a trait reflecting positive feelings about oneself and one's life.

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Metadata

Authors
Watson, D., Pennebaker, J. W., & Folger, R.
Venue
Journal of Organizational Behavior Management
Published
1987-07-07
Volume
8
Issue
2
Pages
141-158
ISSN
  • 0160-8061 (ISSN-L)
  • 1540-8604
OpenAlex
W1802783789
Cited by
273
References
5
FWCI
4.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Beyond Negative Affectivity: Measuring Stress and Satisfaction in the Workplace. https://app.cochat.ai/papers/10.1300/j075v08n02_09
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Watson, D., Pennebaker, J. W., & Folger, R. (1987). Beyond Negative Affectivity: Measuring Stress and Satisfaction in the Workplace. Journal of Organizational Behavior Management. https://doi.org/10.1300/j075v08n02_09

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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.