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      The effect of plyometric training and moderating variables on stretch-shortening cycle function and physical qualities in female post peak height velocity volleyball players

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          Abstract

          Purpose: Although several studies investigated the effect of plyometric training on physical performance, there is a lack of clarity regarding the effectiveness of plyometric training or its moderator variables in youth female volleyball players. The primary aim of this study was to explore the effect of horizontal plyometric training on explosive stretch-shortening cycle hops and jumps in the vertical and horizontal directions in female post peak height velocity (PHV) volleyball players. The secondary aim was to assess the influence of participant and training related moderators on horizontal plyometric training in post-PHV volleyball players.

          Methods: A total of 23 post-PHV volleyball players participated in this 8-week intervention with horizontal plyometric exercises, twice a week. Pre-testing and post-testing included bilateral and unilateral vertical sub-maximal hopping, horizontal jumping and hopping, and a drop jump test. The effectiveness of the intervention was assessed using a paired t-test. The influence of internal moderators such as age, maturity and body mass and external moderators such as training volume were assessed using regression and correlation analysis.

          Results: An 8-week plyometric training improved sub-maximal hopping at 2.5 Hz left by 4.4%, bilateral sub-maximal hopping at 2.0 Hz by 9.5% and bilateral sub-maximal hopping at 2.2 Hz by 6.8% in post-PHV female volleyball players. Horizontal jumping and hopping, reactive strength index and other sub-maximal hopping conditions did not improve significantly. Body mass had a large moderating effect on vertical unilateral sub-maximal hopping at 2.5 Hz right ( p = 0.010, η 2 = 0.314), vertical unilateral hopping at 3.0 Hz right ( p = 0.035, η 2 = 0.170), and vertical unilateral hopping at 3.0 Hz left ( p = 0.043, η 2 = 0.203). Training volume together with generalized joint hypermobility moderated right leg triple broad hop performance, whereas maturity and age did not moderate any variables.

          Conclusion: This study determined that 8 weeks of horizontal plyometric training can improve unilateral absolute leg stiffness in post-PHV female volleyball players, and this training effect can be moderated by body mass. Furthermore, the training effect on triple hopping performance on the right leg can be moderated by combined training volume with generalized joint hypermobility.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Effect size estimates: current use, calculations, and interpretation.

            The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.
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              Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

              Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.
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                Author and article information

                Contributors
                Role: Role: Role: Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/568362/overviewRole: Role: Role: Role:
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                08 February 2024
                2024
                : 15
                : 1346624
                Affiliations
                [1] 1 Sport Performance Research Institute New Zealand , Auckland University of Technology , Auckland, New Zealand
                [2] 2 Department of Sport , Faculty of Physical Culture , Palacký University Olomouc , Olomouc, Czechia
                [3] 3 Department of Physiotherapy , Faculty of Physical Culture , Palacký University Olomouc , Olomouc, Czechia
                [4] 4 Department of Natural Sciences in Kinantropology , Faculty of Physical Culture , Palacký University Olomouc , Olomouc, Czechia
                Author notes

                Edited by: Erika Zemková, Comenius University, Slovakia

                Reviewed by: Valerio Giustino, University of Palermo, Italy

                Patrik Drid, University of Novi Sad, Serbia

                *Correspondence: Jakub Krejčí, jakub.krejci@ 123456upol.cz
                Article
                1346624
                10.3389/fphys.2024.1346624
                10882090
                38390448
                8ee7601a-0062-4a26-ac2f-0da4b11429eb
                Copyright © 2024 Sylvester, Lehnert, Hanzlíková and Krejčí.

                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
                : 29 November 2023
                : 22 January 2024
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Physiology
                Original Research
                Custom metadata
                Exercise Physiology

                Anatomy & Physiology
                girls,stiffness,maturation,plyometric exercises,reactive strength index,youth sport

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