This study examined attachment styles and disengagement strategies used to end romantic relationships for 213 college students. The research predicted differences between attributions about the cause of the breakup and who initiated the breakup. The study also predicted differences in reports about the use of disengagement strategies, depending upon a person's attachment style and whom they attributed as the initiator of the breakup. People more frequently attributed the cause of breakups to situational factors than to the other person; and least frequently, to self. Persons who perceived they caused the breakup more frequently perceived they also initiated the breakup. Some of the hypothesized differences in reports about the use of disengagement strategies for persons with different attachment styles and different attributions of who initiated the breakup were observed for positive‐tone, behavioral de‐escalation, and negative identity management strategies. Leniency in self‐attributions was detected in higher reports of self‐use of justification strategies and lower reports of self‐use of behavioral de‐escalation.
Retrospective analysis of previous relationship disengagement and current and current attachment style
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related Research Data
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.