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Profile of high-performing college soccer teams: An exploratory multi-level analysis
Institution:1. Behavioral Imaging and Neural Dynamics Center, University of Chieti-Pescara, Italy;2. Zinman College of Physical Education and Sport Sciences, Wingate Institute & Ohalo Academic College of Education and Sport;3. Department of Educational Psychology and Learning Systems, Florida State University, United States;1. Department of Sport & Exercise Sciences, University of Sunderland, UK;2. Medical Centre Excellence FIFA, Santy Orthopedicae Clinical, Lyon, France;3. Centre de recherche et d’innovation sur le Sport, Université de Lyon, France;4. OGC Nice (soccer), France;5. Sport & Health Sciences, College of Life & Environmental Sciences, St. Luke’s Campus, University of Exeter, UK;6. Food & Nutrition, & Sport Science, University of Gothenburg, Sweden;7. Faculty of Physical Activity & Sport Sciences, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain;1. University of French West Indies and Guyana, France;2. Southern France Montpellier University, France;3. University of Groningen, The Netherlands;4. Ohio University, USA;1. CESAMS, EA 4260, University of Caen, France;2. German Sport University, Am Sportpark Müngersdorf 6, Institute of Psychology, Department of Performance Psychology, 50933 Cologne, Germany;3. University of Las Palmas de Gran Canaria, Spain;4. ESPE (Escuela Politécnica del Ejército), Quito, Ecuador;1. Neurocognition and Action Research Group, Department of Sport Science, Faculty of Psychology and Sport Science, Germany;2. CITEC – Center of Excellence in Cognitive Interaction Technology, University of Bielefeld, PB 100131, 33501 Bielefeld, Germany;3. Grupo de Estudos em Desenvolvimento e Aprendizagem Motora, Universidade Federal de Minas Gerais, Av. Presidente Carlos Luz, 4664, CEP: 31310250 Belo Horizonte, Brazil;4. Ambient Intelligence Group, CITEC – Center of Excellence in Cognitive Interaction Technology, Bielefeld University, PB 100131, 33501 Bielefeld, Germany
Abstract:ObjectiveTo determine the profile of high-performing college soccer teams through the use of exploratory hierarchical linear modeling (HLM) based on a socio-cognitive approach.DesignA correlational design was employed in this study. The sample consisted of 340 college soccer players of both genders (178 female and 162 male), representing 17 different teams (8 female and 9 male) ranked in the top-32 of the National Association of Intercollegiate Athletics (NAIA).MethodsNumerous demographic and soccer-related variables represented level-1 in the HLM model. Group Environment Questionnaire and Team Assessment Diagnostic Measure were entered as level-2 variables, representing cohesion and team mental models, respectively. Perceived performance potential (PPP) served as the dependent variable. Objective performance scores were correlated with PPP, attesting a moderate to high-level of criterion related validity (r = .78).ResultsThe final model suggested that: (a) International athletes perceive their performance lower than others, (b) different field positions share different covariance coefficients with PPP, and (c) perception of social cohesion from a group, rather than individual, standpoint is positively associated with perceptions of team performance.ConclusionsHigh performing teams have clearly defined task-related and team-related goals. Accordingly, social rather than task related factors may represent a competitive edge, further energizing the interactions and performance of top-ranked teams. International athletes perceive team performance lower than locals, perhaps due to differences in preferred game-style and acculturation experiences. Players from different field positions (i.e., goalkeepers, defensive, and offensive players) relate differently to team performance in college soccer.
Keywords:Team expertise  Team Mental Models  Cohesion  HLM  Soccer
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