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Cited by 697

The DOI matches its Crossref record; 218 of the 218 references it cites were found in a registry or an index.

Brick by Brick: The Origins, Development, and Future of Self-Determination Theory

Ryan, Richard M., Deci, Edward L.·2019·Advances in Motivation Science

Abstract

Abstract Self-determination theory is a broad and widely applied theory of motivation, personality development, and wellness. The theory began with a narrow focus on intrinsic motivation but has expanded over time to encompass both intrinsic and extrinsic motivations and spawned new perspectives on well-being, life-goals, relationship quality, vitality and depletion, and eudaimonia, among other topics. In this overview of SDT, we first discuss the value of broad theory for psychological science. We then describe the strategy behind SDT's development, and the unfolding of its core mini-theories and topical models, from early studies on intrinsic motivation to the enormous body of research being produced today by a global community of SDT scholars. Throughout we highlight evidence for the critical role of supports for autonomy, competence and relatedness in human development and thriving, and the strong practical and translational value of a functionally-focused, and empirically-supported, theoretical framework.

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Metadata

Authors
Ryan, R. M., & Deci, E. L.
Venue
Advances in Motivation Science
Publisher
Elsevier
Published
2019
Pages
111-156
ISSN
2215-0919 (ISSN-L)
OpenAlex
W2914204975
Cited by
697
References
218
FWCI
291.49
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Brick by Brick: The Origins, Development, and Future of Self-Determination Theory. https://app.cochat.ai/papers/10.1016/bs.adms.2019.01.001
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Ryan, R. M., & Deci, E. L. (2019). Brick by Brick: The Origins, Development, and Future of Self-Determination Theory. Advances in Motivation Science. https://doi.org/10.1016/bs.adms.2019.01.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.