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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
“All that glitters is not gold (& vice versa)?” - How Percentile Comparison Methods (PCMs) improve youth performance evaluation
ABSTRACT Inter-individual developmental differences compromise the capability to equitably evaluate youth sport performance. Percentile Comparison Methods (PCMs) aim to account for developmental differences, generating relative age and maturity status-specific performance percentile ranks alongside annual-age cohort ranks. This study aimed to improve PCM estimation and examined the consistency of PCM profile distributions when applied to 50-m and 200-m Front-Crawl (FC) events.
Advancing athlete development: how percentile comparison methods can identify youth developmental profiles (PCMs)
Abstract Inter-individual developmental differences confound the capability to accurately evaluate youth athletic performance, highlighting the need for considerate methodology and analytical approaches. The present study demonstrated how Percentile Comparison Methods (PCMs) were developed, tested, and applied to identify athlete developmental profiles in Australian youth swimming.
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