Claims

Autonomous motivation significantly and positively predicts subjective norms, contrary to theoretical expectations

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q1
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? Contrary to the expectation that subjective norms align with controlled motivation, autonomous motivation is a significant, positive predictor of subjective norms. → Hagger 2016

Evidence

Hagger 2016

Hagger, M. S., & Chatzisarantis, N. L. D. (2016). The Trans-Contextual Model of Autonomous Motivation in Education: Conceptual and Empirical Issues and Meta-Analysis. Review of Educational Research. https://doi.org/10.3102/0034654315585005

q1 · i? · quant-synthesis · r?

The review reports, citing multiple prior studies, that "autonomous motivation is a significant, positive predictor of subjective norms." No effect sizes are printed; the finding is asserted from cited prior work the review does not reanalyze.

"However, there is evidence that autonomous motivation is a significant, positive predictor of subjective norms (Chan, Fung, Xing, & Hagger, 2014; Hagger, Chatzisarantis, & Biddle, 2002a; Hamilton, Cox, & White, 2012; Pavey & Sparks, 2010)."

Discussion

Page metadata
Field Value
type claim
id autonomous-motivation-predicts-subjective-norms-positively
title Autonomous motivation significantly and positively predicts subjective norms, contrary to theoretical expectations
description Autonomous motivation significantly and positively predicts subjective norms, contrary to theoretical expectations
status review
evidence_strength weak
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-20
trust unverified — no one has confirmed this page's content
sources 1 — hagger-2016

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