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Article . 2009
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Measuring Dyadic Coping: The factorial structure of Bodenmann's "Dyadic COping Questionnaire" in an Italian sample

Authors: Donato, Silvia; Iafrate, Raffaella; Barni, Daniela; Bertoni, Anna Marta Maria; Bodenmann, Guy; Gagliardi, Simona;

Measuring Dyadic Coping: The factorial structure of Bodenmann's "Dyadic COping Questionnaire" in an Italian sample

Abstract

The aim of the present study was to analyze the factorial structure of the Dyadic Coping Question-naire (FDCT-N) (Bodenmann, 1997, 2000) in an Italian sample. The FDCT-N measures partners’ ten-dency to engage in dyadic coping, that is the process through which partners cope together, as a couple, with daily stressors. It comprises partners’ stress communication, positive and negative coping responses, and common dyadic coping. Positive and negative dyadic coping items are measured both as perceptions of one’s own coping styles and as perceptions of the partner’s styles. The sample was composed of 389 heterosexual couples (N = 778 participants) living in the North of Italy. The factorial structure was examined through a confirmatory factor analysis, which showed a good overall fit for a five-factor model (stress communication; emotion-focused dyadic coping; problem-focused dyadic coping; delegated dyadic coping; and negative dyadic coping) for self-perceptions and perceptions of the other and a three-factor model (problem-focused; seeking closeness; and relaxation) for common dyadic coping.

Countries
Italy, Switzerland, Italy
Keywords

3207 Social Psychology, confirmatory factor analysis, 10093 Institute of Psychology, Dyadic Coping Questionnaire, dyadic coping, 3202 Applied Psychology, Italian couples, 3201 Psychology (miscellaneous), Dyadic Coping Questionnaire; Factorial structure; Italian couples, 150 Psychology, scale factorial structure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green