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Fran Longstaff and Misia Gervis

This study examined how practitioners who provide sport psychology support use counseling principles and skills to develop practitioner-athlete relationships. Semistructured interviews were conducted with thirteen competent practitioners (Mean age = 41.2 ± 10.9 years old, five men, eight women). Thematic analysis revealed that the participants used a range of counseling principles to develop practitioner-athlete relationships including: the facilitative conditions, self-disclosure, counseling skills, the formation of working alliances, and awareness of the unreal relationship. The participants also described using noncounseling strategies (e.g., gaining an understanding of the athlete’s sporting environment) to build relationships with their athletes. There was considerable variation between the participants both in the training that they had received in counseling principles and skills, and how they applied them. It was concluded that counseling principles and skills play a significant role in the development of practitioner-athlete relationships.

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Philippe Crisp

coaches to ensure the personal growth and empowerment of participants, gain traction. In total, both take into consideration a variety of social factors and accentuate a philosophy of delivering coaching practice that emphasizes relationship development. A key influence here is the work of Coalter ( 2013

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Irineu Loturco, Lucas A. Pereira, Ciro Winckler, Weverton L. Santos, Ronaldo Kobal, and Michael McGuigan

The load–velocity relationship is widely recognized for its ability to accurately predict the 1-repetition maximum (1RM) in both lower-body and upper-body exercises. 1 – 3 With the data generated by linear-regression models, practitioners can frequently monitor and adjust the resistance

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Claire J. Brady, Andrew J. Harrison, Eamonn P. Flanagan, G. Gregory Haff, and Thomas M. Comyns

athlete’s maximum strength capabilities, and these tests can measure variables such as peak force, RFD, and impulse. 5 The relationship between maximum strength measured during the IMTP/ISqT and sprint performance has been examined among male soccer and rugby players. 6 – 8 There appear to be

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Phil Ferrar, Lillian Hosea, Miles Henson, Nadine Dubina, Guy Krueger, Jamie Staff, and Wade Gilbert

other to ultimately reach their goals. The coach-athlete relationship is a well-established area of study in the coaching literature and is becoming a more targeted area of development in coaching curriculums ( Evans, McGuckin, Gainforth, Bruner, & Coté, 2015 ; Smith, Smoll, & Cummings, 2007

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Jesús J. Ruiz-Navarro, Pedro G. Morouço, and Raúl Arellano

effectively apply force in the water and is highly associated with performance. On the contrary, the intracyclic velocity variation ( dv ) is one of the most applied parameters by academics and practitioners to evaluate the efficiency of swimmers, even though the relationship with performance is not

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Danny Lum and Abdul Rashid Aziz

have included either only dynamic strength measurements of the upper body 4 – 8 or isometric strength using kayak-specific movement. 3 , 9 , 10 Interestingly, only one study has endeavored to investigate the relationship between measures obtained from lower-limb strength assessment with sprint kayak

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Teun van Erp, Carl Foster, and Jos J. de Koning

) or the rating of perceived exertion (RPE) to quantify TL. Heart rate is frequently used to determine TL because the technology is widely available, noninvasive, and inexpensive. The use of HR monitoring during exercise is based on the nearly linear relationship between HR and oxygen consumption

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John F. Fitzpatrick, Kirsty M. Hicks, and Philip R. Hayes

The physiological response to a given training load is commonly called the dose–response relationship and is considered a fundamental component of training. 1 It has been suggested that a valid measure of training load should show a strong dose–response relationship with a particular training

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Dean J. McNamara, Tim J. Gabbett, Peter Blanch, and Luke Kelly

monitoring of elite fast bowlers during training and competition. This would allow insightful data for the prescription of individual fast-bowling workloads. Therefore, the aim of this study was to assess the relationship between prescribed bowling intensities, bowling velocity, and data outputs from