Missing data: current practice in football research and recommendations for improvement

IF 2.8 2区 医学 Q1 SPORT SCIENCES
D. Borg, Robert Nguyen, Nicholas J. Tierney
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引用次数: 13

Abstract

ABSTRACT Methods A survey of 136 articles published in 2019 (sampled at random) was conducted to determine whether a statement about missing data was included. Results The proportion of studies reporting on missing data was low, at 11.0% (95% confidence interval = 6.3% to 17.5%). Recommendations 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 supplementary materials. Missing values should almost always be imputed, and imputation methods should be explored to ensure they are appropriately representative. Researchers should consider these recommendations and pay greater attention to missing data and its influence on research results.
缺失的数据:目前的足球研究实践和改进建议
方法对2019年发表的136篇论文(随机抽样)进行调查,以确定是否包含关于缺失数据的陈述。结果报告缺失数据的研究比例较低,为11.0%(95%可信区间= 6.3% ~ 17.5%)。我们建议研究人员描述缺失值的数量和百分比,包括没有缺失值的情况。应进行探索性分析以探索缺失值,并应在论文中或至少在补充材料中提供描述缺失总体的可视化。缺失的值几乎总是应该归因,并且应该探索归因方法以确保它们具有适当的代表性。研究人员应该考虑这些建议,并更加关注缺失的数据及其对研究结果的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
11.80%
发文量
69
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