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Cited by 620

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Gratitude in Intermediate Affective Terrain: Links of Grateful Moods to Individual Differences and Daily Emotional Experience.

McCullough, Michael E., Tsang, Jo-Ann, Emmons, Robert A.·2004·Journal of Personality and Social Psychology

Abstract

Two studies were conducted to explore gratitude in daily mood and the relationships among various affective manifestations of gratitude. In Study 1, spiritual transcendence and a variety of positive affective traits were related to higher mean levels of gratitude across 21 days. Study 2 replicated these findings and revealed that on days when people had more grateful moods than was typical for them, they also reported more frequent daily episodes of grateful emotions, more intense gratitude per episode, and more people to whom they were grateful than was typical for them. In addition, gratitude as an affective trait appeared to render participants' grateful moods somewhat resistant to the effects of discrete emotional episodes of gratitude.

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Crossref · 10.1037/0022-3514.86.2.295

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Metadata

Authors
McCullough, M. E., Tsang, J.-A., & Emmons, R. A.
Venue
Journal of Personality and Social Psychology
Published
2004-02
Volume
86
Issue
2
Pages
295-309
ISSN
  • 0022-3514 (ISSN-L)
  • 1939-1315
OpenAlex
W2137197909
Cited by
620
References
10
FWCI
12.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gratitude in Intermediate Affective Terrain: Links of Grateful Moods to Individual Differences and Daily Emotional Experience. https://app.cochat.ai/papers/10.1037/0022-3514.86.2.295
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McCullough, M. E., Tsang, J.-A., & Emmons, R. A. (2004). Gratitude in Intermediate Affective Terrain: Links of Grateful Moods to Individual Differences and Daily Emotional Experience. Journal of Personality and Social Psychology. https://doi.org/10.1037/0022-3514.86.2.295

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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.