Step Out of Line: Modeling Nonlinear Effects and Dynamics in Close-Relationships Research
Despite widespread acknowledgment that close relationships frequently involve tumultuous and dynamic experiences, most models in relationship psychology focus on linear relationship processes. Modeling nonlinear patterns can, however, be an important way to assess and better understand the complexit...
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| Published in | Current directions in psychological science : a journal of the American Psychological Society Vol. 29; no. 4; pp. 351 - 357 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Los Angeles, CA
SAGE Publications
01.08.2020
SAGE PUBLICATIONS, INC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0963-7214 1467-8721 |
| DOI | 10.1177/0963721420920598 |
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| Abstract | Despite widespread acknowledgment that close relationships frequently involve tumultuous and dynamic experiences, most models in relationship psychology focus on linear relationship processes. Modeling nonlinear patterns can, however, be an important way to assess and better understand the complexities inherent in close relationships. In this article, I draw on one of the most widely studied theories in relationship science—attachment theory—to illustrate how modeling nonlinear effects between variables (i.e., curvilinear effects) and nonlinear dynamics across time (i.e., within-person variation and within-dyad flexibility) can reconcile inconsistencies in the literature, reveal unique relationship experiences, and broaden our understanding of complex relationship processes. |
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| AbstractList | Despite widespread acknowledgment that close relationships frequently involve tumultuous and dynamic experiences, most models in relationship psychology focus on linear relationship processes. Modeling nonlinear patterns can, however, be an important way to assess and better understand the complexities inherent in close relationships. In this article, I draw on one of the most widely studied theories in relationship science—attachment theory—to illustrate how modeling nonlinear effects between variables (i.e., curvilinear effects) and nonlinear dynamics across time (i.e., within-person variation and within-dyad flexibility) can reconcile inconsistencies in the literature, reveal unique relationship experiences, and broaden our understanding of complex relationship processes. |
| Author | Girme, Yuthika U. |
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| References | Simpson, Winterheld, Rholes, Oriña 2007; 93 Yerkes, Dodson 1908; 18 Butler 2011; 15 Fraley, Roisman, Booth-LaForce, Owen, Holland 2013; 104 Overall 2020 Collins, Feeney 2000; 78 Simonsohn 2018; 1 Girme, Overall, Simpson, Fletcher 2015; 108 Arriaga, Kumashiro, Simpson, Overall 2018; 22 Khan, Chong, Theisen, Fraley, Young, Hankin 2020; 118 Blanke, Brose, Kalokerinos, Erbas, Riediger, Kuppens 2020; 20 Park, Impett, MacDonald, Lemay 2019; 117 Arriaga 2001; 80 Eastwick, Finkel, Simpson 2019; 30 Gable, Reis 1999; 6 Holt-Lunstad, Uchino 2019; 14 Farrell, Simpson, Overall, Shallcross 2016; 30 Solomon, Knobloch 2004; 21 Campbell, Simpson, Boldry, Rubin 2010; 99 Wilson, Thompson, Vazire 2017; 69 Overall, Simpson, Struthers 2013; 104 Simpson, Overall 2014; 23 Muise, Schimmack, Impett 2016; 7 Aldao 2013; 8 Rubin, Campbell 2012; 3 Girme, Overall, Hammond 2019; 33 Overall, Simpson 2015; 1 Girme, Jones, Fleck, Simpson, Overall 2020 Fraley, Vicary, Brumbaugh, Roisman 2011; 101 Houben, Van Den Noortgate, Kuppens 2015; 141 Feeney, Collins 2015; 19 Timmons, Margolin, Saxbe 2015; 29 Fraley, Roisman 2019; 25 Diamond 2007; 2 Girme, Agnew, VanderDrift, Harvey, Rholes, Simpson 2018; 114 bibr14-0963721420920598 bibr19-0963721420920598 bibr27-0963721420920598 bibr31-0963721420920598 bibr35-0963721420920598 bibr28-0963721420920598 bibr6-0963721420920598 bibr22-0963721420920598 bibr32-0963721420920598 bibr40-0963721420920598 bibr15-0963721420920598 bibr18-0963721420920598 bibr9-0963721420920598 bibr36-0963721420920598 bibr10-0963721420920598 bibr1-0963721420920598 bibr23-0963721420920598 bibr3-0963721420920598 bibr8-0963721420920598 bibr33-0963721420920598 bibr41-0963721420920598 Fraley R. C. (bibr13-0963721420920598) 2004 bibr17-0963721420920598 bibr16-0963721420920598 bibr11-0963721420920598 bibr37-0963721420920598 bibr4-0963721420920598 bibr24-0963721420920598 bibr2-0963721420920598 bibr26-0963721420920598 Vallacher R. R. (bibr39-0963721420920598) 2009 bibr7-0963721420920598 Bowlby J. (bibr5-0963721420920598) 1973 bibr30-0963721420920598 bibr29-0963721420920598 bibr12-0963721420920598 bibr34-0963721420920598 Girme Y. U. (bibr20-0963721420920598) bibr25-0963721420920598 bibr21-0963721420920598 bibr38-0963721420920598 |
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| Title | Step Out of Line: Modeling Nonlinear Effects and Dynamics in Close-Relationships Research |
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