A new Bayesian procedure for the estimation of the referees' decision thresholds and agreement. The case of professional handball refereeing

心理学 协议 一致性(知识库) 社会心理学 应用心理学 人工智能 计算机科学 语言学 哲学
作者
Giovanni Bruno,Michele Vicovaro,Massimo Nucci,Giovanni Cropanise,Valter Fabbian,Mauro Mondin,Sebastiano Prastaro,Valter Borellini,Andrea Spoto
出处
期刊:Psychology of Sport and Exercise [Elsevier]
卷期号:65: 102347-102347
标识
DOI:10.1016/j.psychsport.2022.102347
摘要

In double refereeing, agreement between referees is fundamental for the achievement of a flawless and smooth refereeing activity. Nonetheless, the agreeement can be affected by several external and internal factors, with a negative impact on the consistency of the refereeing and the fluidity of the game. The referee's Decision Threshold (DT) is the limit above which the evidence of a foul results in the call of an infraction by the referee. It represents the individual refereeing style, and it is one of the factors that can contribute to low agreement between the referees. We present an application of a new Bayesian procedure to estimate referee's DT in a typical refereeing task. To this end, 56 italian professional handball (FIGH) referees were asked to evaluate 96 potential foul plays, belonging to four different infraction types: 7-m throw, passive play, offensive foul, disciplinary sanctions. The proposed method provides information about: (i) referee's individual DT; (ii) the agreement between pairs of referees (i.e., one-to-one); (iii) the agreement between each referee and all the other referees (i.e., one-to-total); (iv) the agreement between each referee and a reference referee (i.e., one-to-expert); (v) the proportion of agreement between the referees and a reference referee for each potential foul play. Sport federations would profit by this procedure in different ways: by using the information about the DT to train referees, by detecting referees with a low agreement with their colleagues or with the reference referee, by focusing training on specific plays to improve the arbitration class internal consistency.
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