2,210
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Attachment Style and Gender as Predictors of Communicative Responses to Infidelity

&
Pages 125-149 | Published online: 05 Apr 2012
 

Abstract

This study set out to determine one's communicative responses to infidelity as predicted by attachment style and gender. Three hundred ninety-two participants responded to a measure of attachment and were then randomly assigned to one of three scenarios: imagining a partner's sexual infidelity, imagining a partner's emotional infidelity, and imagining a partner's combined sexual and emotional infidelity. Participants then responded to a communicative response scale in reaction to the scenario. Results showed moderate support for attachment theory and provided support for predicted gender differences. Additional analysis revealed responses differed by whether or not the participant's partner had been unfaithful. Limitations and implications are discussed.

ACKNOWLEDGMENTS

This article is based on the first author's thesis, which was directed by the second author. We thank Drs. McManus, Sahlstein, and Hertlein for their insight on this project, the comments of two very helpful reviewers, and Dr. Helen Neill for her assistance. An earlier version of this article was accepted for presentation at the 2011 National Communication Association conference.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 485.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.