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Coupling Longitudinal Data and Hierarchical Linear Modeling to Examine the Antecedents and Consequences of Jealousy Experiences in Romantic Relationships: A Test of the Relational Turbulence Model

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Abstract:

We used longitudinal data and hierarchical linear modeling to examine how intimacy, relational uncertainty, and failed attempts at interdependence influence the emotional, cognitive, and communicative responses to romantic jealousy, and how those experiences shape subsequent relationship characteristics. The relational turbulence model (Solomon & Knobloch, 2004) highlights how intimacy, relational uncertainty, and interference from partners influence and reflect reactions to events that occur within romantic relationships. Drawing from the theory, we predicted that (a) relational uncertainty and interference from partners are positively associated with cognitive and emotional jealousy; (b) the intensity of romantic jealousy, relational intimacy, and a partner’s interference are positively associated with the directness of communication about jealousy; (c) relational uncertainty is negatively associated with communicative directness; and (d) cognitive jealousy, emotional jealousy, and the directness of communicative responses to jealousy influence subsequent relationship characteristics. The results of hierarchical linear modeling revealed mixed support for our predictions. We explore the implications of this study for the relational turbulence model, relationship development, and jealousy research.

Most Common Document Word Stems:

relationship (255), jealousi (222), relat (183), communic (177), partner (162), uncertainti (115), associ (101), direct (98), turbul (91), emot (86), experi (77), cognit (76), romant (72), intimaci (71), interfer (70), solomon (66), knobloch (59), model (59), person (54), perspect (50), l (46),

Author's Keywords:

romantic relationship development, jealousy, relational uncertainty, interdependence, communicative directness, intimacy
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Name: International Communication Association
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http://www.icahdq.org


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MLA Citation:

Theiss, Jennifer. and Solomon, Denise. "Coupling Longitudinal Data and Hierarchical Linear Modeling to Examine the Antecedents and Consequences of Jealousy Experiences in Romantic Relationships: A Test of the Relational Turbulence Model" Paper presented at the annual meeting of the International Communication Association, Dresden International Congress Centre, Dresden, Germany, <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p91540_index.html>

APA Citation:

Theiss, J. A. and Solomon, D. H. "Coupling Longitudinal Data and Hierarchical Linear Modeling to Examine the Antecedents and Consequences of Jealousy Experiences in Romantic Relationships: A Test of the Relational Turbulence Model" Paper presented at the annual meeting of the International Communication Association, Dresden International Congress Centre, Dresden, Germany Online <PDF>. 2009-05-25 from http://www.allacademic.com/meta/p91540_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: We used longitudinal data and hierarchical linear modeling to examine how intimacy, relational uncertainty, and failed attempts at interdependence influence the emotional, cognitive, and communicative responses to romantic jealousy, and how those experiences shape subsequent relationship characteristics. The relational turbulence model (Solomon & Knobloch, 2004) highlights how intimacy, relational uncertainty, and interference from partners influence and reflect reactions to events that occur within romantic relationships. Drawing from the theory, we predicted that (a) relational uncertainty and interference from partners are positively associated with cognitive and emotional jealousy; (b) the intensity of romantic jealousy, relational intimacy, and a partner’s interference are positively associated with the directness of communication about jealousy; (c) relational uncertainty is negatively associated with communicative directness; and (d) cognitive jealousy, emotional jealousy, and the directness of communicative responses to jealousy influence subsequent relationship characteristics. The results of hierarchical linear modeling revealed mixed support for our predictions. We explore the implications of this study for the relational turbulence model, relationship development, and jealousy research.

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Document Type: PDF
Page count: 41
Word count: 12768
Text sample:
A Relational Turbulence Perspective 1 Running Head: RELATIONAL TURBULENCE AND JEALOUSY Coupling Longitudinal Data and Hierarchical Linear Modeling to Examine the Antecedents and Consequences of Jealousy Experiences in Romantic Relationships: A Test of the Relational Turbulence Model A Relational Turbulence Perspective 2 Abstract We used longitudinal data and hierarchical linear modeling to examine how intimacy relational uncertainty and failed attempts at interdependence influence the emotional cognitive and communicative responses to romantic jealousy and how those experiences shape subsequent relationship
Uncertainty .66*** T-1 Partner’s Interference .68*** Cognitive Jealousy -.04** .06* .14*** .12*** .02 Emotional Jealousy -.01 -.01 .03 .02 .04 Communicative Directness .06*** -.10*** -.11*** -.10*** .08** Note. Cell entries are slopes for standardized variables. Measures of the dependent variables at Week T-1 were also included as covariates in each of the analyses and their associations with the subsequent dependent variable are the values on the diagonal. * p < .05. ** p < .01. *** p < .001.


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