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Gender and Negative Emotion During Narratives About Romantic Conflict: Links to Conflict Strategies

Published online by Cambridge University Press:  24 May 2017

Candice Feiring*
Affiliation:
The College of New Jersey, Ewing, New Jersey, USA
Izabela Milaniak
Affiliation:
The College of New Jersey, Ewing, New Jersey, USA
Valerie A. Simon
Affiliation:
Wayne State University, Detroit, Michigan, USA
Lesley Clisura
Affiliation:
The College of New Jersey, Ewing, New Jersey, USA
*
ADDRESS FOR CORRESPONDENCE: Candice Feiring, Department of Psychology, SSB 139, The College of New Jersey, PO Box 7718, Ewing, New Jersey, 08628. Email: feiring@tcnj.edu

Abstract

Adaptation to the reconstructed past is central to understanding negative emotion and its management, but research is scarce on negative emotion in romantic conflict narratives. Addressing this gap, we studied negative emotion in romantic conflict narratives as a function of gender and associations with self-reports of conflict strategies. In 145 emerging adults (54% women) from the United States, we assessed angry and sad emotion words and vocal pitch (an index of emotional arousal) during romantic conflict narratives, and self-rated anger and sadness immediately following these narratives. Results showed that self-rated anger and sadness were higher for women than men, but the use of angry and sad words and pitch did not differ by gender. For men, pitch and sad words were related to reports of less problem solving and aggression. For women, negative emotion ratings were related to less problem solving and more withdrawal. Our findings suggest that reflecting back on past romantic conflicts is a task that involves the regulation of negative emotions and that such emotions are related to conflict approaches.

Information

Type
Research Article
Copyright
Copyright © The Author(s) 2017 
Figure 0

TABLE 1 Descriptive Statistics for the Negative Emotion Words, Ratings and Pitch and Conflict Strategies by Gender and for the Total Sample

Figure 1

TABLE 2 Correlations between the Study Variables by Gender (Women Above the Diagonal Men Below)

Figure 2

FIGURE 1 Unconstrained multigroup structural equation model of paths from negative emotion variables to conflict strategies. The figure shows significant pathways with standardised path coefficients for women presented first followed by those for men in parentheses.

Note: *p < .05; **p < .01; ***p < .001; Negative emotion rating = the average of angry and sad ratings.
Figure 3

TABLE 3 Structural Equation Model Results for Associations Between Negative Emotion Variables and Conflict Strategies by Gender