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教练能力和对教练的满意度:多层次结构方程模型。

Coaching competency and satisfaction with the coach: a multi-level structural equation model.

机构信息

Department of Educational and Psychological Studies, University of Miami, Coral Gables, Florida 33124-2040, USA.

出版信息

J Sports Sci. 2011 Feb;29(4):411-22. doi: 10.1080/02640414.2010.538710.

Abstract

The purpose of this initial predictive validity study was to determine the ability of measures derived from the Athletes' Perceptions of Coaching Competency Scale II - High School Teams (APCCS II-HST) to predict satisfaction with the head coach. Specification of the statistical model was informed by the mediational model of coach-athlete interactions. The technical quality of the satisfaction measure was evaluated before testing the predictive validity of the coaching competency measures. Data were collected from athletes of seven sports. Athlete observations (N = 748) were clustered within teams (G = 74). Multi-group confirmatory factor analyses (CFA) provided evidence for factorial invariance of a reduced version of the satisfaction measure by athlete gender. Multi-level CFA provided evidence of model-data consistency for a reduced version of the satisfaction measure. Multi-level structural equation modelling provided evidence for the ability of latent coaching competency to positively predict latent satisfaction at both the athlete level (technique competency and motivation competency) and the team level (coaching competency) and for close model-data fit. Implications of this study include: that the APCCS II-HST should be viewed as a replacement for the Coaching Competency Scale when the intended population is appropriate; a preliminary multi-level measurement model for satisfaction with one's coach that should be considered as a potential starting point in subsequent studies; and empirical support for a key relationship proposed in the mediational model of coach-athlete interactions.

摘要

本初始预测有效性研究的目的是确定源自运动员对教练能力感知量表 II-高中队(APCCS II-HST)的测量结果预测对主教练满意度的能力。教练-运动员互动的中介模型为统计模型的规范提供了信息。在测试教练能力测量的预测有效性之前,对满意度测量的技术质量进行了评估。数据来自七项运动的运动员。运动员观察(N=748)按团队(G=74)进行聚类。多组验证性因素分析(CFA)为按运动员性别对满意度测量的简化版进行因子不变性提供了证据。多层次 CFA 为满意度测量的简化版提供了模型数据一致性的证据。多层次结构方程模型为潜在教练能力能够积极预测运动员层面(技术能力和激励能力)和团队层面(教练能力)的潜在满意度以及接近模型数据拟合提供了证据。这项研究的意义包括:当目标人群合适时,APCCS II-HST 应被视为替代教练能力量表的工具;一个用于评估对教练满意度的初步多层次测量模型,应被视为后续研究的潜在起点;以及对教练-运动员互动中介模型中提出的关键关系的实证支持。

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