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◆ Acta psychologica2026-09-08

A Bayesian multilevel path model of college students' pickleball participation motivation: Theory-informed priors and hierarchical random intercepts.

Jing Gao, Dong Lin, Meiye Chen, Jianfeng Hu

原始摘要(英文原文)· Original abstract
Despite explosive global growth of pickleball, motivational processes underlying college student participation remain poorly understood. We present a Bayesian multilevel path model integrating theory-informed priors with hierarchical random intercepts for grade and major. A total of 1992 college students from 12 higher-education institutions across six provinces of China completed validated measures. Using brms (v2.21.0) in R (v4.3.1) with Stan (v2.32), results showed psychological needs as the dominant predictor (β = 0.613, 95% CrI [0.532, 0.692]), followed by environmental factors (β = 0.118, 95% CrI [0.052, 0.184]) and social media use (β = 0.180, 95% CrI [0.140, 0.223]). Personal and social factors showed marginal or non-significant associations after controlling for psychological needs and environment. Hierarchical random intercepts revealed exploratory between-grade variation, with freshman students reporting the highest motivation. Bayesian mediation confirmed social media use showed a small indirect association (8.5% of total effect for psychological needs). The model achieved elpd_loo = -1425, decisively outperforming seven alternatives (model weight = 1.000). Prior sensitivity analysis demonstrated robustness across prior specifications. These findings suggest psychological need satisfaction and environmental support as primary levers for promoting pickleball on university campuses, while grade-related patterns identify grade-adapted programming as a possibility warranting future longitudinal investigation.
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A Bayesian multilevel path model of college students' pickleball participation motivation: Theory-informed priors and hierarchical random intercepts. — 科研速览 Science Skim