Date of Award

5-11-2025

Date Published

June 2025

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Psychology

Advisor(s)

Daniel Corral

Keywords

Causal Attribution Judgments;Causal Learning and Reasoning;Causal Structure;Romantic Relationships

Subject Categories

Cognitive Psychology | Psychology | Social and Behavioral Sciences

Abstract

I report on one between-subjects experiment exploring the impact of causal structures on decisions regarding staying in relationships. Subjects were randomly assigned to one of two conditions: a first-person perspective or a third-person perspective. In each condition, subjects encountered several relationship scenarios that instantiated one of five distinct causal structures: (a) common cause, (b) common effect, (c) causal chain, (d) positive feedback loop, and (e) negative feedback loop. Within these scenarios, subjects were asked to make causal attribution judgments by evaluating how each event described in the scenario would influence the decision to stay in the relationship. Additionally, subjects rated their own likelihood of remaining in the relationship. Valence was manipulated as a within-subjects variable to examine how positive versus negative valence scenarios might alter subjects’ causal attributions and decisions. The results suggest that causal attribution judgments in relationships are shaped by a combination of event order, underlying causal structure, emotional valence, and narrative perspective.

Access

Open Access

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.