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Statistical considerations (or recommendations) for publishing in Science and Medicine in Football

Statistical considerations (or recommendations) for publishing in Science and Medicine in Football SCIENCE AND MEDICINE IN FOOTBALL 2019, VOL. 3, NO. 1, 1–2 https://doi.org/10.1080/24733938.2018.1563993 EDITORIAL Statistical considerations (or recommendations) for publishing in Science and Medicine in Football During the last months, the world of sport science has wit- on football match analysis: Is a difference of 50 m in high nessed an important but also hard-nosed debate on a statistical intensity running practically important? Is this difference large approach commonly used in our area: the Magnitude Based enough to justify different training strategies? And what about Inferences (MBI; Batterham and Hopkins 2006). While concerns the uncertainty as reflected by the width of the confidence have already been raised about this method a few years ago interval? It is also important to remember that the confidence (Welsh and Knight 2015), the publication by Sainani in 2018 intervals can be interpreted in the sense of the NHST by (Sainani 2018) has attracted widespread attention of other observing whether the confidence intervals overlap the value statisticians and researchers (Borg et al. 2018). In addition to of no effect, i.e., 0 for group differences, or 1 in the case of the recent scientific publications, several discussions have also relative risks, corresponding to the null hypothesis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Science and Medicine in Football Taylor & Francis

Statistical considerations (or recommendations) for publishing in Science and Medicine in Football

Statistical considerations (or recommendations) for publishing in Science and Medicine in Football

Science and Medicine in Football , Volume 3 (1): 2 – Jan 2, 2019

Abstract

SCIENCE AND MEDICINE IN FOOTBALL 2019, VOL. 3, NO. 1, 1–2 https://doi.org/10.1080/24733938.2018.1563993 EDITORIAL Statistical considerations (or recommendations) for publishing in Science and Medicine in Football During the last months, the world of sport science has wit- on football match analysis: Is a difference of 50 m in high nessed an important but also hard-nosed debate on a statistical intensity running practically important? Is this difference large approach commonly used in our area: the Magnitude Based enough to justify different training strategies? And what about Inferences (MBI; Batterham and Hopkins 2006). While concerns the uncertainty as reflected by the width of the confidence have already been raised about this method a few years ago interval? It is also important to remember that the confidence (Welsh and Knight 2015), the publication by Sainani in 2018 intervals can be interpreted in the sense of the NHST by (Sainani 2018) has attracted widespread attention of other observing whether the confidence intervals overlap the value statisticians and researchers (Borg et al. 2018). In addition to of no effect, i.e., 0 for group differences, or 1 in the case of the recent scientific publications, several discussions have also relative risks, corresponding to the null hypothesis.

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References (11)

Publisher
Taylor & Francis
Copyright
© 2019 Informa UK Limited, trading as Taylor & Francis Group
ISSN
2473-4446
eISSN
2473-3938
DOI
10.1080/24733938.2018.1563993
Publisher site
See Article on Publisher Site

Abstract

SCIENCE AND MEDICINE IN FOOTBALL 2019, VOL. 3, NO. 1, 1–2 https://doi.org/10.1080/24733938.2018.1563993 EDITORIAL Statistical considerations (or recommendations) for publishing in Science and Medicine in Football During the last months, the world of sport science has wit- on football match analysis: Is a difference of 50 m in high nessed an important but also hard-nosed debate on a statistical intensity running practically important? Is this difference large approach commonly used in our area: the Magnitude Based enough to justify different training strategies? And what about Inferences (MBI; Batterham and Hopkins 2006). While concerns the uncertainty as reflected by the width of the confidence have already been raised about this method a few years ago interval? It is also important to remember that the confidence (Welsh and Knight 2015), the publication by Sainani in 2018 intervals can be interpreted in the sense of the NHST by (Sainani 2018) has attracted widespread attention of other observing whether the confidence intervals overlap the value statisticians and researchers (Borg et al. 2018). In addition to of no effect, i.e., 0 for group differences, or 1 in the case of the recent scientific publications, several discussions have also relative risks, corresponding to the null hypothesis.

Journal

Science and Medicine in FootballTaylor & Francis

Published: Jan 2, 2019

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