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The ups and downs of dating: Fluctuations in satisfaction in newly formed romantic relationships

American Psychological Association
Journal of Personality and Social Psychology
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Abstract

This research examined the association between relationship satisfaction and later breakup status, focusing on the temporal changes in satisfaction ratings of individuals in newly formed dating relationships. Growth curve analytic techniques were used in 2 longitudinal studies to create 4 predictors: each participant's initial level of satisfaction, linear trend in satisfaction over time, degree of fluctuation in satisfaction over time, and mean level of satisfaction. Consistent with hypotheses, individuals who exhibited greater fluctuation in their repeated satisfaction ratings were more likely to be in relationships that eventually ended, even after controlling for overall level of satisfaction. Individuals with fluctuating levels of satisfaction also reported relatively lower commitment. The results are discussed in terms of conditions that promote versus undermine relationship stability.
... Research demonstrates that higher levels of relationship quality are often beneficial and lower levels of relationship quality are often disadvantageous for the relational partners. In comparison, volatility (within-person variability across 14 days, as we assessed in this study) in relationship quality seems uniquely detrimental for relational partners (Arriaga, 2001;Arriaga et al., 2006;Campbell et al., 2010) as volatility in relationship quality may signal relational turbulence or instability (see review by Eastwick et al., 2019). Daily volatility in relationship quality predicts greater reports of distress and destructive couple interactions (Campbell et al., 2010); weekly volatility predicts eventual relationship dissolution (Arriaga, 2001) and greater depressive symptoms (Whitton & Whisman, 2010); and volatility over a more extended amount of time (i.e., every 4 months for 2 years) predicts diminished life satisfaction (Whitton et al., 2014). ...
... In comparison, volatility (within-person variability across 14 days, as we assessed in this study) in relationship quality seems uniquely detrimental for relational partners (Arriaga, 2001;Arriaga et al., 2006;Campbell et al., 2010) as volatility in relationship quality may signal relational turbulence or instability (see review by Eastwick et al., 2019). Daily volatility in relationship quality predicts greater reports of distress and destructive couple interactions (Campbell et al., 2010); weekly volatility predicts eventual relationship dissolution (Arriaga, 2001) and greater depressive symptoms (Whitton & Whisman, 2010); and volatility over a more extended amount of time (i.e., every 4 months for 2 years) predicts diminished life satisfaction (Whitton et al., 2014). ...
... Examining what predicts levels of relationship quality; however, does not explain whether these levels remain constant from day to day. Because high volatility in relationship quality has potentially detrimental effects beyond levels of relationship quality (Arriaga, 2001, Campbell et al., 2010Eastwick et al., 2019), it is essential to understand what characteristics in individuals and partners promote more stability (i.e., less volatility) in relationship quality. Therefore, we examine whether people who have higher trait levels of approach motives, and lower trait levels of avoidance motives, report less volatility in relationship quality from day to day. ...
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