A classification of controlled interpersonal affect regulation strategies.
Author(s) -
Karen Niven,
Peter Totterdell,
David Holman
Publication year - 2009
Publication title -
emotion
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.261
H-Index - 140
eISSN - 1931-1516
pISSN - 1528-3542
DOI - 10.1037/a0015962
Subject(s) - affect (linguistics) , psychology , interpersonal communication , classification scheme , interpersonal relationship , cognitive psychology , social psychology , sort , affect regulation , data science , communication , computer science , information retrieval , attachment theory
Controlled interpersonal affect regulation refers to the deliberate regulation of someone else's affect. Building on existing research concerning this everyday process, the authors describe the development of a theoretical classification scheme that distinguishes between the types of strategy used to achieve interpersonal affect regulation. To test the theoretical classification, the authors generated a corpus of 378 distinct strategies using self-report questionnaires and diaries completed by student and working samples. Twenty participants then performed a card-sort of the strategies. Hierarchical cluster analysis was used to determine how well the theoretical classification represented spontaneous understandings of controlled interpersonal affect regulation. The final classification primarily distinguished between strategies used to improve versus those used to worsen others' affect, and between strategies that engaged the target in a situation or affective state versus relationship-oriented strategies. The classification provides a meaningful basis for organizing existing research and making future conceptual and empirical distinctions.
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