Behavioral and neural markers of self-regulation
Abstract/Contents
- Abstract
- The ability to manipulate behavior in service of long-term goals, self-regulation, has a long history of research and thought behind it. Yet despite its long history and the multitude of related concepts and measures self-regulation research suffers from a lack of transferable measures, models and interventions. One overlooked reason for this might be the focus on creating mechanistic stories while sacrificing measurement rigor. This dissertation explores the meaning of a 'marker' of self-regulation from a psychometric perspective. Our work highlights the importance of the required and varying statistical properties of a self-regulation marker depending on the research question. With respect to within-subjects analyses we present the largest comparison of behavioral self-regulation measures in their suitability for individual difference analyses using retest-reliability. Regarding between-subjects designs we show how extensive model comparisons can reveal conflicting narratives and how neural group differences might lie in properties other than the central tendency of distributions.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2019; ©2019 |
Publication date | 2019; 2019 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Enkavi, Ayse Zeynep | |
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Degree supervisor | Poldrack, Russell A | |
Thesis advisor | Poldrack, Russell A | |
Thesis advisor | Knutson, Brian | |
Thesis advisor | Wagner, Anthony David | |
Degree committee member | Knutson, Brian | |
Degree committee member | Wagner, Anthony David | |
Associated with | Stanford University, Department of Psychology. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Ayse Zeynep Enkavi. |
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Note | Submitted to the Department of Psychology. |
Thesis | Thesis Ph.D. Stanford University 2019. |
Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Ayse Zeynep Enkavi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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