9 research outputs found

    Comparison of regression equations with and without reaction time.

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    Comparison of regression equations with and without reaction time.</p

    The data underlying the findings in this study.

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    (CSV)</p

    Comparison of goodness of fit and generalization in each equation between the present study model and Miyashiro model.

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    Comparison of goodness of fit and generalization in each equation between the present study model and Miyashiro model.</p

    Relationships between the race time and each touchdown time (TD).

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    Shaded areas in blue indicate the 95% confidence interval for regression lines. Shaded areas in gray indicate the 95% prediction interval for estimated touchdown times.</p

    Python code.

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    (IPYNB)</p

    Summary of evaluation metrics with unifying the scale of each touchdown time in the present study model.

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    Summary of evaluation metrics with unifying the scale of each touchdown time in the present study model.</p

    Recommendations for statistical analysis involving null hypothesis significance testing

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    The peer review process of original research articles generally requires authors/researchers to adopt accepted scientific methods, identify testable hypotheses and test those hypotheses using appropriate and established statistical methods. In Sports Biomechanics, authors are encouraged to submit original research articles that conform to these norms. Despite widespread use, null hypothesis significance testing (NHST) has received criticism on various counts, especially when there is a reliance on p-values alone (as defined below) for NHST. The p-value combines sample size, variance and differences in values within the calculation but its meaning is somewhat subtle and difficult to communicate in non-technical language, leading to over-simplification, distortions of its meaning and misinterpretation
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