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

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

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)

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. © 2013 Springer Science+Business Media Dordrecht.
Original languageEnglish
Pages (from-to)1473-1491
JournalQuality and Quantity
Volume48
Issue number3
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Bayesian networks
  • Cheating
  • Coaches
  • Ego motivational climate
  • Self-determination
  • Task motivational climate

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