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Orientation and motivational climate in elite handball players: Multivariate modeling of performance
Nordic Psychology ( IF 0.6 ) Pub Date : 2021-07-16 , DOI: 10.1080/19012276.2021.1922304
Hafrún Kristjánsdóttir 1 , Ásrún Matthíasdóttir 1 , Jose M. Saavedra 1
Affiliation  

Abstract

This study's objectives were to analyse goal orientation and motivational climate in elite handball players as functions of age and gender; and construct a multivariate model explaining handball performance from a motivational perspective (orientation and climate). The participants were 174 national team handball players. They were categorized in accordance with the official age groups. Two questionnaires were used: Task and Ego Orientation in Sport Questionnaire and the Perceived Motivational Climate in Sport Questionnaire-2. A one-way ANOVA (Bonferroni post-hoc correction) was used to examine differences between teams for each gender. Discriminant analyses were performed to classify the participants of each team into two groups according to their performance level (starters and non-starters). There were no age or gender differences found in goal orientation, and very few differences in motivational climate. Except for the women's U19, U17, and U15 teams, it was possible to predict the performance level (starters and non-starters) in the different age and gender groups, achieving correct classification (55% to 93%). The two variables that were repeated most often (thrice) in the models were ego orientation and task cooperative learning. Coaches might focus on looking for handball players with ego orientation, while a climate of task-oriented motivation should predominate in training sessions.



中文翻译:

精英手球运动员的定向和激励氛围:表现的多元建模

摘要

本研究的目的是分析精英手球运动员的目标导向和激励氛围,作为年龄和性别的函数;并构建一个从动机角度(方向和气候)解释手球表现的多元模型。参加者为174名国家队手球运动员。他们按照官方年龄组进行分类。使用了两份问卷:运动问卷中的任务和自我导向以及运动问卷中的感知动机氛围-2。使用单向方差分析(Bonferroni 事后校正)来检查每个性别的团队之间的差异。进行判别分析以根据每个团队的参与者的表现水平(首发和非首发)将他们分为两组。在目标导向方面没有发现年龄或性别差异,在动机环境方面也几乎没有差异。除了女子 U19、U17 和 U15 队,可以预测不同年龄和性别组的表现水平(首发和非首发),实现正确分类(55% 到 93%)。模型中最常重复(三次)的两个变量是自我导向和任务合作学习。教练可能会专注于寻找以自我为导向的手球运动员,而以任务为导向的激励氛围应该在训练课程中占主导地位。实现正确分类(55% 到 93%)。模型中最常重复(三次)的两个变量是自我导向和任务合作学习。教练可能会专注于寻找以自我为导向的手球运动员,而以任务为导向的激励氛围应该在训练课程中占主导地位。实现正确分类(55% 到 93%)。模型中最常重复(三次)的两个变量是自我导向和任务合作学习。教练可能会专注于寻找以自我为导向的手球运动员,而以任务为导向的激励氛围应该在训练课程中占主导地位。

更新日期:2021-07-16
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