0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSelf-determination theory (SDT) is a still rapidly expanding framework of basic and applied research, underpinned by a global network of scholars and practitioners.Herein, we focus on one feature of SDT that helps explain its continued growth-the fact that it is a truly human science that takes into consideration our attributes as persons, including our capacities for awareness and self-regulation, as well as vulnerabilities to defensiveness and control.Within SDT, these human capacities are studied using diverse methods and across all subdisciplines of psychology.In this review, we focus particularly on people's capacity for autonomy as it applies to their individual functioning, interpersonal relationships, and societal interactions.If there is a core legacy to SDT, it is one of representing a generative and philosophically coherent framework based on a convergent network of empirical evidence with relevance across domains and cultures and to our basic experiences and concerns as humans.
Richard M. Ryan, Edward L. Deci, Maarten Vansteenkiste, Bart Soenens (2021). Building a science of motivated persons: Self-determination theory’s empirical approach to human experience and the regulation of behavior.. Motivation Science, 7(2), pp. 97-110, DOI: 10.1037/mot0000194.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
4
Datasets
0
Total Files
0
Language
English
Journal
Motivation Science
DOI
10.1037/mot0000194
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access