408
Views
17
CrossRef citations to date
0
Altmetric
Original Articles

Emotion and Appraisal Profiles of the Needs for Competence and Relatedness

, , , , , & show all
Pages 218-225 | Published online: 06 Aug 2009
 

Abstract

This study examined the emotion and appraisal correlates of the needs for Competence and Relatedness. Using experience-sampling, fluctuations of competence and relatedness throughout a day's period were found to correspond to fluctuations in emotions and appraisals in ways theoretically consistent with the self-determination theory (Deci & Ryan, Citation2000). Each need was related in specific ways to the six emotions examined (anger, sadness, fear, guilt, shame, and joy) and, more interesting, was characterized by a specific appraisal-profile. Implications of these findings for needs processes are discussed.

ACKNOWLEDGMENTS

This research was funded by grant no. R-107-000-007-012 from the National University of Singapore with supplemental funds from the Singapore Ministry of Home Affairs, Singapore Police Force. We thank Phoebe C. Ellsworth for numerous valuable comments.

Notes

p < .10, ∗p < .05, ∗∗p < .01, ∗∗∗p < .001.

1The negative emotions were reported very infrequently and their distributions followed Poisson distributions. This was commonly found in other studies (e.g., Williams, Suls, Alliger, Learner, & Wan, Citation1991). An alternative way to analyze the negative emotions is Poisson regression. Similar results were obtained when Poisson regressions were used.

Note. High-loading items are in bold.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 320.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.