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      Talent Identification in an English Premiership Rugby Union Academy: Multidisciplinary Characteristics of Selected and Non-selected Male Under-15 Players

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          Abstract

          Entry into an academy can be a defining moment for a promising young player. The aim of this study was to explore the multidimensional characteristics that differentiated selected and non-selected male under-15 rugby union players at an English Premiership academy. Seventy-four players (mean age 14.6 ± 0.3 years: selected n = 29; non-selected n = 45) were measured across nine characteristics from four overarching factors: (a) anthropometric ( n = 2), (b) physiological ( n = 5), (c) cognitive ( n = 1), and (d) birth quartile. An ANOVA compared differences between groups (selected vs. non-selected), whilst a Welch's t-test and Cohen's d were used for further comparisons. A multivariate logistic regression was also used to predict selection. Results showed significant differences between selected and non-selected players for anthropometric ( P = 0.021) and physiological factors ( P < 0.001). Moreover, relatively older players were overrepresented with 65% born in the first half of the year, whereas no significant differences were apparent for the cognitive test. More specifically, selected players possessed greater body mass ( P = 0.022, d = 0.5) and handgrip strength ( P = 0.020, d = 0.5) compared to non-selected players, whilst multivariate analysis showed the 20 m sprint explained 25.4% of the variance ( P = 0.001). Overall, it appears selection into an English Premiership rugby union academy may be due to enhanced physical attributes rather than cognitive abilities.

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          An effect size primer: A guide for clinicians and researchers.

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            The Chi-square test of independence

            The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not require equality of variances among the study groups or homoscedasticity in the data. It permits evaluation of both dichotomous independent variables, and of multiple group studies. Unlike many other non-parametric and some parametric statistics, the calculations needed to compute the Chi-square provide considerable information about how each of the groups performed in the study. This richness of detail allows the researcher to understand the results and thus to derive more detailed information from this statistic than from many others. The Chi-square is a significance statistic, and should be followed with a strength statistic. The Cramer’s V is the most common strength test used to test the data when a significant Chi-square result has been obtained. Advantages of the Chi-square include its robustness with respect to distribution of the data, its ease of computation, the detailed information that can be derived from the test, its use in studies for which parametric assumptions cannot be met, and its flexibility in handling data from both two group and multiple group studies. Limitations include its sample size requirements, difficulty of interpretation when there are large numbers of categories (20 or more) in the independent or dependent variables, and tendency of the Cramer’s V to produce relative low correlation measures, even for highly significant results.
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              Perceptual-cognitive expertise in sport: a meta-analysis.

              Research focusing on perceptual-cognitive skill in sport is abundant. However, the existing qualitative syntheses of this research lack the quantitative detail necessary to determine the magnitude of differences between groups of varying levels of skills, thereby limiting the theoretical and practical contribution of this body of literature. We present a meta-analytic review focusing on perceptual-cognitive skill in sport (N = 42 studies, 388 effect sizes) with the primary aim of quantifying expertise differences. Effects were calculated for a variety of dependent measures (i.e., response accuracy, response time, number of visual fixations, visual fixation duration, and quiet eye period) using point-biserial correlation. Results indicated that experts are better than nonexperts in picking up perceptual cues, as revealed by measures of response accuracy and response time. Systematic differences in visual search behaviors were also observed, with experts using fewer fixations of longer duration, including prolonged quiet eye periods, compared with non-experts. Several factors (e.g., sport type, research paradigm employed, and stimulus presentation modality) significantly moderated the relationship between level of expertise and perceptual-cognitive skill. Practical and theoretical implications are presented and suggestions for empirical work are provided.
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                Author and article information

                Contributors
                Journal
                Front Sports Act Living
                Front Sports Act Living
                Front. Sports Act. Living
                Frontiers in Sports and Active Living
                Frontiers Media S.A.
                2624-9367
                11 June 2021
                2021
                : 3
                : 688143
                Affiliations
                [1] 1Department of Sport and Exercise, Research Centre for Life and Sport Sciences, School of Health Sciences, Birmingham City University , Birmingham, United Kingdom
                [2] 2Worcester Warriors Rugby Football Club, Sixways Stadium , Worcester, United Kingdom
                [3] 3School of Sport, Exercise, and Health Sciences, Loughborough University , Loughborough, United Kingdom
                [4] 4Carnegie School of Sport, Leeds Beckett University , Leeds, United Kingdom
                Author notes

                Edited by: Olivier Girard, University of Western Australia, Australia

                Reviewed by: Christopher Martyn Beaven, University of Waikato, New Zealand; Jorge López-Fernández, Coventry University, United Kingdom

                *Correspondence: Francesco Dimundo francesco.dimundo@ 123456mail.bcu.ac.uk

                This article was submitted to Elite Sports and Performance Enhancement, a section of the journal Frontiers in Sports and Active Living

                Article
                10.3389/fspor.2021.688143
                8225930
                34179777
                0e00c733-9da9-48a3-a570-66195bdabd2c
                Copyright © 2021 Dimundo, Cole, Blagrove, McAuley, Till and Kelly.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 March 2021
                : 17 May 2021
                Page count
                Figures: 0, Tables: 5, Equations: 0, References: 53, Pages: 10, Words: 8515
                Categories
                Sports and Active Living
                Original Research

                talent development,rugby football union,expertise,talent identification,selection,athlete development,ltad

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