Self- Awareness Processes in Motivated Reasoning
dc.contributor.author | McKenna, Clinton | |
dc.date.accessioned | 2024-05-22T17:27:47Z | |
dc.date.available | 2024-05-22T17:27:47Z | |
dc.date.issued | 2023 | |
dc.date.submitted | 2023 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/193422 | |
dc.description.abstract | People have limited introspective access to many mental processes. In this dissertation, I test whether people can report self-awareness of motivational influences. Specifically, I investigate the phenomenon of motivated reasoning, where people’s decisions and evaluations of information are biased in favor or one’s attitudes, beliefs, and identities. In six empirical studies, people show limited ability to report the extent that their prior beliefs influence their reasoning. In Studies 1 – 3, I demonstrate that people update their beliefs consistent with their motivations, but do not report awareness of this influence consistently, or in a manner that aligns with a peer’s perception of them. In Studies 4-5, I show similar effects with a simulated political ballot counting task. Awareness was generally underreported relative to peers, but those who were greatly biased tended to report more perceived influence of political beliefs. Finally, in Study 6, I introduce an incentive-compatible reward task that maximizes the likelihood of honest responses. In this study, people evaluate the political ballots honestly, eliminating a possible counterexplanation about normative views of motivated evaluation. In sum, this dissertation advances our understanding of metacognitive processes related to motivated reasoning. I find that while people engage in motivated reasoning, they often underreport awareness of how their desires are influencing their decisions. | |
dc.language.iso | en_US | |
dc.subject | reasoning | |
dc.subject | self | |
dc.subject | politics | |
dc.title | Self- Awareness Processes in Motivated Reasoning | |
dc.type | Thesis | |
dc.description.thesisdegreename | PhD | |
dc.description.thesisdegreediscipline | Psychology | |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | |
dc.contributor.committeemember | Dunning, David Alan | |
dc.contributor.committeemember | Weeks, Brian | |
dc.contributor.committeemember | Earl, Allison Nancy | |
dc.contributor.committeemember | Seifert, Colleen M | |
dc.subject.hlbsecondlevel | Psychology | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/193422/1/cmck_1.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/23067 | |
dc.identifier.orcid | 0000-0002-9128-3581 | |
dc.identifier.name-orcid | McKenna, Clint; 0000-0002-9128-3581 | en_US |
dc.working.doi | 10.7302/23067 | en |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.