Statistical Modelling for Sports Scientists: Practical Introduction Using R (Part 1)

Jovanovic, Mladen

doi:10.31236/osf.io/dnq3m

Cited by 3 publications

(2 citation statements)

References 81 publications

(198 reference statements)

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“…The sensitivity of the measurement was evaluated using the smallest worthwhile change (SWC), as the minimum improvement that would have practical significance. To compute SWC as 0.2× √ 2×SEM, the research question, the type of data, and the available resources in this study were taken into consideration [39,40]. The signal-to-noise ratio (SWC/SEM) was calculated to assess if the method could be considered reliable (SWC/SEM > 1) [41].…”

Section: Discussionmentioning

confidence: 99%

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Jiménez-Olmedo

Penichet-Tomás

Pueo

et al. 2023

IJERPH

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The ability to detect small changes in a vertical jump is crucial when data are used by sports science specialists to monitor their athletes. This study aimed to analyze the intrasession reliability of the ADR jumping photocell and the reliability relative to the position of the transmitter when it is located facing the phalanges of the foot (forefoot) or the metatarsal area (midfoot). A total of 12 female volleyball players performed 240 countermovement jumps (CMJ), alternating both methods. The intersession reliability was higher for the forefoot method (ICC = 0.96; CCC = 0.95; SEM = 1.15 cm; CV = 4.11%) than for the midfoot method (ICC = 0.85; CCC = 0.81; SEM = 3.68 cm; CV = 8.75%). Similarly, the sensitivity values were better for the forefoot method (SWC = 0.32) than for the midfoot method (SWC = 1.04). Significant differences were found between the methods (13.5 cm, p < 0.05, ES = 2.1) with low agreement (rs = 0.57; ICC = 0.49; CCC = 0.15; SEM = 4.7 cm) and heteroscedasticity was observed (r2 > 0.1). In conclusion, the ADR jumping photocell is shown to be a reliable tool for measuring CMJs. However, the reliability of the instrument can be influenced depending on the placement of the device. Comparing the two methods, the midfoot placement was less reliable as indicated by higher values of SEM and systematic error, and thus its use is not recommended.

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Section: Discussionmentioning

confidence: 99%

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Jiménez-Olmedo

Penichet-Tomás

Pueo

et al. 2023

IJERPH

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“…In recent years, there has been an increase in the creation of tutorials, courses, books, and even package applications within the R ecosystem tailored to different sporting environments. 1,13–16 So, the important point probably remains in statistical education to advance sports statistics from future generations.…”

Section: Introductionmentioning

confidence: 99%

A systematic review of sport-related packages within the R CRAN repository

Casals

Fernández

Martı́nez

et al. 2022

International Journal of Sports Science & Coaching

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The sports statistics community is rapidly evolving. R is an open-source software in constant development that has gained a lot of popularity within statistical communities and sports analytics. This work presents a systematic review of the available R CRAN sport packages following PRISMA guidelines. We consider all packages active as of 18 February 2021. A total of 81 sport R packages created since 2006 were detected. Of these, 35.9% were authored by an American national, 69.1% include a dataset, 43.2% provide vignettes, and 65.4% have been updated at least once. The sport with the highest representation is basketball (n = 14, 17.3%), followed by soccer (n = 12, 14.8%) and packages related to physical activity (n = 11, 13.6%). There are no sports packages directed solely for the female gender, while 59.3% of packages are focused on professional athletes. Fifty packages (61.7%) are related to the sports performance analysis category, and web scraping (n = 43, 53.1%) was the main functionality in the collected packages. The creation of new R packages in the area of sports could help solve questions and tasks that still remain a challenge in this field, while continuing to help to improve the level of statistical education and computational thinking skills.

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Modeling and predicting the backstroke to breaststroke turns performance in age-group swimmers

Chainok

Jesus

Coelho

et al. 2021

Sports Biomechanics

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Statistical Modelling for Sports Scientists: Practical Introduction Using R (Part 1)

Abstract: The aim of this paper is to provide an overview of the three classes of tasks in the statistical modelling:

Cited by 3 publications

References 81 publications

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

A systematic review of sport-related packages within the R CRAN repository

Modeling and predicting the backstroke to breaststroke turns performance in age-group swimmers

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