When couples disagree: Predicting informant differences in adults’ emotion regulation
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Levi R. Baker, Assistant Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: Objectives Investigations of emotion regulation, which includes both subjective affect and observable behaviors, could benefit from widespread adoption of multi-informant approaches. Currently, informants are infrequently used when studying adults, due to the complexity of interpreting differences among multiple reports.Method To identify factors that predict disagreement between informants, this study evaluated self-reported and partnerr-eported emotion regulation abilities for each member of 81 adult couples. Ratings of each partner’s perceived stress, symptoms of psychopathology, couple satisfaction, and intimate partner victimization were collected as potential sources of discordance. Results Intrapersonal characteristics appeared to contribute most to diverging reports: women and men experiencing higher stress (and marginally their psychopathology) reported worse emotion regulation abilities in comparison to their partners’ ratings of their abilities, underscoring the value of having multiple reports. Additionally, women’s reports about their partners corresponded with their partners’ self-reports but men’s reports about their partners did not. Men with higher couple satisfaction reported better emotion regulation abilities compared to their partner’s reports. Conclusions More work is needed to understand multi-informant differences in adult reports of psychological functioning.
When couples disagree: Predicting informant differences in adults’ emotion regulation
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Created on 11/9/2022
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Additional Information
- Publication
- Journal of Child and Family Studies, 28, 1548–1557.
- Language: English
- Date: 2019
- Keywords
- Multiple informants, Emotion regulation, Disagreement, Report bias, Couples