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We know this much is (meta-analytically) true: A meta-review of meta-analytic findings evaluating self-determination theory
Abstract
Self-determination theory (SDT) is a theoretical framework for addressing human motivation and wellness that has been actively and increasingly researched over four decades. As a cumulative knowledge base, many of SDT’s fundamental tenets have been repeatedly examined. We identified 60 meta-analyses that tested many of the propositions of SDT’s six mini-theories, other theory-based hypotheses, and SDT’s utility in applied domains. In this review we examine what these meta-analyses establish, highlighting the support they lend to the validity of SDT’s motivational taxonomy and its hypotheses regarding the respective effects of basic psychological need satisfaction and frustration on well-being and ill-being. Meta-analytic evidence also strongly supports the relevance of SDT for organizations, health care, parenting, and education among other domains, with identifiable gaps in the meta-analytic literature. We conclude by discussing the importance of broad theory and the use of meta-analytic knowledge as scaffolding for further theory and research, albeit with its own methodological limitations.
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“Self-determination theory (SDT) is a theory of motivation that posits individuals are motivated in the most sustainable and healthy ways when they experience optimal levels of autonomy, competence and relatedness.21”
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“The observed autonomy loss strongly aligns with the core tenet of SDT that excessive external controls undermine intrinsic motivation by thwarting the fundamental need for autonomy (Ryan et al., 2022; Ryan & Deci, 2020).”
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“…magnitude, these global standardized pathways ( β ≈ 0.60) represent strong statistical effects within the SDT paradigm, aligning with prior structural frameworks where basic psychological needs typically show robust correlations with affective well-being (Ryan et al., 2022; Stanley et al., 2021).”
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“Their original studies explored the reasons that adults choose to do activities that they enjoy (Deci & Ryan, 1980; Ryan et al., 2022, p. 813).”
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“Decades of research support these principles as fundamental to increasing humans ’ motivation to learn (Ryan et al., 2022).”
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Zhu, J., & Zhang, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1853560
“Prior perspectives on motivation and work design, such as self-determination theory (Ryan et al., 2022) and the job demands–resources model (Bakker et al., 2023), offer important insights into autonomous motivation and the resource–demand nature of work experiences.”
Flamant, N., Vansteenkiste, M., Haerens, L. L., Vrijders, B., Prinzie, P., & Soenens, B. (2026) · Motivation and Emotion · doi:10.1007/s11031-026-10277-8
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“Self-Determination Theory further suggests that high-conflict family environments may weaken the satisfaction of adolescents’ basic psychological needs for autonomy, competence, and relatedness, thereby reducing intrinsic motivation for physical activity (Ryan et al., 2022).”
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Metadata
- Authors
- Ryan, R. M., Duineveld, J. J., Di Domenico, S. I., Ryan, W. S., Steward, B. A., & Bradshaw, E. L.
- ORCID
- Venue
- Psychological Bulletin
- Published
- 2022-11
- Volume
- 148
- Issue
- 11-12
- Pages
- 813-842
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W4327660578
- Cited by
- 378
- References
- 0
- Citations by year
- 2026: 151 · 2025: 133 · 2024: 73 · 2023: 19
- FWCI
- 47.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Keywords
- self-determination theory, meta-review, evidence synthesis, motivation, autonomy, competence, relatedness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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