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A Bayesian network to discover relationships between negative features in sport: a case study of teen players

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  • P. Fuster-Parra
  • A. García-Mas
  • F. Ponseti
  • P. Palou
  • J. Cruz

Abstract

The purpose of this paper is the study of relationships between negative psychological features in young competitive team players via a Bayesian network (BN). The BN let us describe in graphical terms the dependencies and conditional independencies between variables in a multivariate context, and therefore it let us analyze the relationships between the type of motivational climate and orientation of team players (from two different frameworks: goal orientation theory, and self-determination motivation theory), and we took into account their willingness to accept the use of gamesmanship and cheating at the games, related with somatic and cognitive pre-competitive anxiety. The BN analysis includes three reasoning patterns: evidential reasoning, causal reasoning and intercausal reasoning. We built a BN from a data set composed of twelve psychological variables, which were identified as relevant to this study. The structure and parameters were learnt with TETRAD IV and the BN was implemented in Netica software. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • P. Fuster-Parra & A. García-Mas & F. Ponseti & P. Palou & J. Cruz, 2014. "A Bayesian network to discover relationships between negative features in sport: a case study of teen players," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1473-1491, May.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:3:p:1473-1491
    DOI: 10.1007/s11135-013-9848-y
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    References listed on IDEAS

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    1. Liang, Faming & Zhang, Jian, 2009. "Learning Bayesian networks for discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 865-876, February.
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    Cited by:

    1. Peng Jing & Ye Zha & Kewen Pan & Ying Xue, 2023. "Investigating Multidimensional Factors Influencing Switching Intention on School Bus among Chinese Parents—A Push–Pull–Mooring Framework," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    2. Bichen Wang & Peng Jing & Chengxi Jiang, 2023. "Combining SEM, fsQCA and BNs to Explore E-Bike Riders’ Helmet Wearing Intentions under the Impact of Mandatory Policies: An Empirical Study in Zhenjiang," Sustainability, MDPI, vol. 15(24), pages 1-25, December.

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