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Missing Data: Current Practice in Football Research and Recommendations for Improvement by David N. Borg; Robert Nguyen; Nicholas J. Tierney is a Medicine article available to read on EtoBox.

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Missing data are often unavoidable. The reason values go missing, along with decisions made of how missing data are handled (deleted or imputed), can have a profound effect on the validity and accuracy of study results. In this article, we aimed to: estimate the proportion of studies in football research that included a missing data statement, highlight several practices to avoid in relation to missing data, and provide recommendations for exploring, visualising and reporting missingness. Football related articles published in 2019 were studied. A survey of 136 articles, sampled at random, was conducted to determine whether a missing data statement was included. As expected, the proportion of studies in football research that reported on missing data was low, at 11.0% (95% confidence interval = 6.3% to 17.5%). This could suggest that missingness is seldom considered by researchers. We recommend that researchers describe the number and percentage of missing values, including when there are no missing values. Exploratory analysis should be conducted to explore missing values, and visualisations describing missingness overall should be provided in the paper, or at least in supplementa

Who reads Missing Data: Current Practice in Football Research and Recommendations for Improvement?

Author

David N. Borg; Robert Nguyen; Nicholas J. Tierney

Publisher

Informa UK Limited

Published

2021

Language

EN

Field

Medicine (Health Sciences)