A six-country study of coaches’ perspectives of girls’ body image concerns in sport and intervention preferences: Template analysis of survey and focus group data

Schneider, Jekaterina; Matheson, Emily; Tinoco, Aline; Silva-Breen, Hannah; Diedrichs, Phillippa C.; LaVoi, Nicole M.

doi:10.1016/j.bodyim.2023.06.013

Cited by 5 publications

(1 citation statement)

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“…Trainers who have poor knowledge are mostly young and do not have licenses and experience (Patricios et al, 2023). Knowledge of new things is a component that every coach must have because the provision of methods and updates from increasingly modern tools can improve athlete performance (Schneider et al, 2023). Achievement will increase if it is supported by an optimal coach and achievement will increase if it is supported by updated tools to perfect the natural talent you have, but based on an analysis of the trainer's knowledge regarding the identification of talent there are still trainers who don't know how to identify athletes with the help of this android, there are even some This is the first time hearing the name of this tool (Mansir, 2023).…”

Section: Discussionmentioning

confidence: 99%

Android-Based Athlete Talent Identification: Preliminary Study

Mahardika,

Siswantoyo,

Yachsie

2023

IJMRA

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This study aims to find out how much the coach's knowledge is related to talent identification in the community environment. This research is descriptive research with a survey method. The data collection technique used a closed questionnaire which totaled 12 valid statements with a reliability value of 0.897. The sample in this study was 40 sports trainers in Yogyakarta, who were taken using a purposive sampling technique, with the criteria of coaches being elite coaches and having coached athletes. The results of the research on how high the trainer's knowledge is to identify android-based talent are: "very low" at 5.00%, "low" at 22.50%, "enough" at 32.50%, "high" at 32.50%, and "very high" of 7.50%.

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Section: Discussionmentioning

confidence: 99%