Zuber, Claudia
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Claudia
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Zuber, Claudia
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- PublikationTalent selection in youth football: Technical skills rather than general motor performance predict future player status of football talents(12.11.2019) Sieghartsleitner, Roland; Zuber, Claudia; Zibung, Marc; Charbonnet, Bryan; Conzelmann, Achim [in: Current Issues in Sport Science (CISS)]Recommended multidimensional models for talent selection are difficult to implement for practitioners in the field. Furthermore, their application has not been established from a scientific point of view, with a lack of clarity concerning how to integrate manifold test results with respect to loading, interaction, and compensation phenomena. Consequently, the question of powerful single predictors for future player status are still of interest within talent research in order to determine promising content for less extensive selection procedures. The aim of the current study is an immediate comparison of the prognostic validity of two frequently used areas within talent selection in youth football: general motor performance (e.g., speed and endurance) and specific motor performance (i.e., technical skills). Participants completed four general and four specific motor performance tests at early adolescence (U13/U14, 133 players) and middle adolescence (U16/U17, 85 players). The area under the curve (AUC) from the receiver operating characteristic was used to compare the prognostic validity of both motor performance areas (predicting U20 player status: professional vs. non-professional). Although no comparison at the four different age levels led to a significant difference (.07 ≤ p ≤ .65), there was a continuous superiority of specific over general motor performance in descriptive AUC values. These descriptive differences reached relevant extent within early adolescence (ΔAUCU13 = .09; ΔAUCU14 =.14) and were partially accounted for by the influence of biological maturation. In line with theoretical considerations and earlier research, these results provide further evidence of the superiority of specific over general motor performance in predicting future player status. Until the applicability of multidimensional models is further established, specific motor performance rather than general performance should be included in less extensive talent selection models, especially in early adolescence.01B - Beitrag in Magazin oder Zeitung
- PublikationMotivational patterns as an instrument for predicting performance not only in football? A replication study with young talented ice hockey players(Frontiers, 22.10.2019) Zuber, Claudia; Conzelmann, Achim [in: Frontiers in Psychology]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationAchievement-motivated behavior in individual sports (AMBIS-I) - Coach rating scale: Development and preliminary validation(Springer, 27.06.2019) Zuber, Claudia; Conzelmann, Achim [in: German Journal of Exercise and Sport Research]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationScience or coaches’ eye? – Both! Beneficial collaboration of multidimensional measurements and coach assessments for efficient talent selection in elite youth football(Bursa Uluda? University, 11.02.2019) Sieghartsleitner, Roland; Zuber, Claudia; Zibung, Marc; Conzelmann, Achim [in: Journal of Sports Science and Medicine]Due to the tremendous popularity of youth football, practitioners in this domain face the ongoing question of the most effective solutions in early talent selection. Although the scientific community has suggested multidimensional models for some time, coach assessments and motor performance tests remain common. Earlier research has determined the strengths and weaknesses within these different approaches. The current investigation directly compared the effectiveness of each approach in talent selection (coach assessment vs. motor performance tests vs. multidimensional data). A sample of 117 youth football players, their parents, and coaches participated in multidimensional measurements in the U14 age category (coach assessments, motor performance tests, psychological characteristics, familial support, training history, and biological maturation). The area under the curve (AUC [95% CI]) from receiver operating characteristic indicated the prognostic validity of each approach in predicting U19 player status five years after the assessments (professional vs. non-professional). Motor performance tests (0.71 [0.58; 0.84]) showed a lower AUC than the multidimensional data (0.85 [0.76; 0.94], p = 0.02), whilst coach assessments did not differ from the two others (.82 [.74; .90]). Further, combined talent selection approaches, especially the use of coach assessments and multidimensional data together, were significantly better at predicting U19 player status (0.93 [0.87; 0.98], p = 0.02 vs. multidimensional data only). Although certain limitations may impede further insights (summation of data, skipped use of non-linear statistics), scientific claims for using multidimensionality within talent selection were confirmed to be fruitful. In particular, the combination of the subjective coaches' eye with scientific data may buffer the mutual weaknesses of these different approaches. Future research should focus on optimizing the output of promising multidimensional models. Knowledge of detailed values relating to specific dimensions within these models and the implementation of enhanced non-linear statistics may enable further improvements in the field of talent selection.01A - Beitrag in wissenschaftlicher Zeitschrift
- Publikation“The early specialised bird catches the worm!” – a specialised sampling model in the development of football talents(Frontiers, 21.02.2018) Sieghartsleitner, Roland; Zuber, Claudia; Zibung, Marc; Conzelmann, Achim [in: Frontiers in Psychology]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationTalente finden und fördern(Springer Fachmedien, 19.01.2018) Conzelmann, Achim; Zibung, Marc; Zuber, Claudia; Ritz, Adrian; Thom, Norbert [in: Talent Management]04A - Beitrag Sammelband
- PublikationTalentselektion und Talentförderung im Schweizer Fussball(Universität Bern, Institut für Sportwissenschaft, 2018) Sieghartsleitner, Roland; Zuber, Claudia; Conzelmann, Achim05 - Forschungs- oder Arbeitsbericht
- PublikationLeistungsmotiviertes Verhalten im Sport: Konstruktion und Validierung eines Beobachtungsrasters. Abschlussbericht(Universität Bern, Institut für Sportwissenschaft, 11/2017) Zuber, Claudia; Conzelmann, Achim05 - Forschungs- oder Arbeitsbericht
- PublikationGelingende Entwicklung im Lebenslauf. Abstractband der 49. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie (asp) vom 25. bis 27. Mai 2017 in Bern(Universität Bern, Bern Open Publishing, 2017) Zuber, Claudia; Schmid, Julia; Schmidt, Mirko; Wegner, Mirko; Conzelmann, Achim03 - Sammelband
- PublikationThe motor subsystem as a predictor of success in young football talents: a person-oriented study(Public Library of Science, 10.08.2016) Zibung, Marc; Zuber, Claudia; Conzelmann, Achim [in: PLOS ONE]Motor tests play a key role in talent selection in football. However, individual motor tests only focus on specific areas of a player’s complex performance. To evaluate his or her overall performance during a game, the current study takes a holistic perspective and uses a person-oriented approach. In this approach, several factors are viewed together as a system, whose state is analysed longitudinally. Based on this idea, six motor tests were aggregated to form the Motor Function subsystem. 104 young, top-level, male football talents were tested three times (2011, 2012, 2013; Mage, t2011 = 12.26, SD = 0.29), and their overall level of performance was determined one year later (2014). The data were analysed using the LICUR method, a pattern-analytical procedure for person-oriented approaches. At all three measuring points, four patterns could be identified, which remained stable over time. One of the patterns found at the third measuring point identified more subsequently successful players than random selection would. This pattern is characterised by above-average, but not necessarily the best, performance on the tests. Developmental paths along structurally stable patterns that occur more often than predicted by chance indicate that the Motor Function subsystem is a viable means of forecasting in the age range of 12–15 years. Above-average, though not necessary outstanding, performance both on fitness and technical tests appears to be particularly promising. These findings underscore the view that a holistic perspective may be profitable in talent selection.01A - Beitrag in wissenschaftlicher Zeitschrift