Gratitude depends on the relational model of communal sharing

PLoS One. 2014 Jan 22;9(1):e86158. doi: 10.1371/journal.pone.0086158. eCollection 2014.

Abstract

We studied the relation between benefits, perception of social relationships and gratitude. Across three studies, we provide evidence that benefits increase gratitude to the extent to which one applies a mental model of a communal relationship. In Study 1, the communal sharing relational model, and no other relational models, predicted the amount of gratitude participants felt after imagining receiving a benefit from a new acquaintance. In Study 2, participants recalled a large benefit they had received. Applying a communal sharing relational model increased feelings of gratitude for the benefit. In Study 3, we manipulated whether the participant or another person received a benefit from an unknown other. Again, we found that the extent of communal sharing perceived in the relationship with the stranger predicted gratitude. An additional finding of Study 2 was that communal sharing predicted future gratitude regarding the relational partner in a longitudinal design. To conclude, applying a communal sharing model predicts gratitude regarding concrete benefits and regarding the relational partner, presumably because one perceives the communal partner as motivated to meet one's needs. Finally, in Study 3, we found in addition that being the recipient of a benefit without opportunity to repay directly increased communal sharing, and indirectly increased gratitude. These circumstances thus seem to favor the attribution of communal norms, leading to a communal sharing representation and in turn to gratitude. We discuss the importance of relational models as mental representations of relationships for feelings of gratitude.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Female
  • Humans
  • Interpersonal Relations*
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Models, Theoretical*
  • Social Perception*
  • Young Adult

Grants and funding

This research was supported by a PhD grant awarded to the first author by the Portuguese Research Foundation (Fundação para a Ciência e Tecnologia, SFRH/BD/60413/2009) (www.fct.pt). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.