Knudson Duane
a Department of Health and Human Performance , Texas State University , San Marcos , TX , USA.
Sports Biomech. 2017 Nov;16(4):425-433. doi: 10.1080/14763141.2016.1246603. Epub 2017 Feb 28.
Many biomechanics studies have small sample sizes and incorrect statistical analyses, so reporting of inaccurate inferences and inflated magnitude of effects are common in the field. This review examines these issues in biomechanics research and summarises potential solutions from research in other fields to increase the confidence in the experimental effects reported in biomechanics. Authors, reviewers and editors of biomechanics research reports are encouraged to improve sample sizes and the resulting statistical power, improve reporting transparency, improve the rigour of statistical analyses used, and increase the acceptance of replication studies to improve the validity of inferences from data in biomechanics research. The application of sports biomechanics research results would also improve if a larger percentage of unbiased effects and their uncertainty were reported in the literature.
许多生物力学研究的样本量较小且统计分析有误，因此在该领域，不准确的推断报告和夸大的效应量很常见。本综述探讨了生物力学研究中的这些问题，并总结了其他领域研究中的潜在解决方案，以增强对生物力学研究中所报告实验效应的信心。鼓励生物力学研究报告的作者、审稿人和编辑提高样本量及由此产生的统计效力，提高报告透明度，加强所用统计分析的严谨性，并增加对重复研究的接受度，以提高生物力学研究数据推断的有效性。如果文献中能报告更大比例的无偏效应及其不确定性，体育生物力学研究结果的应用也会得到改善。
