有两个及以上“重测因素”数据资料的分析方法在体育科学中的应用研究

An Applied Research on the Data Analysis Measure for the Documents with Plural Repeated "Re-test Factors" in Sports Science

体育科学研究中,重复测量数据资料极为常见,"重测因素"越多,数据分析时所需要的统计学方法越复杂。通过对611篇实验研究性论文的调查,发现有295篇(48.28%)论文的数据资料是重复测量数据。其中,84.4%的论文中只有一个"重测因素",15.6%的论文中有两个或以上"重测因素"。"重测因素"个数多于一个时,统计处理错误率达84.8%。可见,众多体育科学研究者还不具备正确分析这种数据资料的能力。并且,目前为止,并没有文献或统计书籍系统介绍这种数据资料的统计处理方法,导致研究者对这类统计方法的选择无据可循,以致滥用。本研究的价值就是填补这一空白,为体育科学研究中正确选择相应的统计处理方法提供参考依据。研究中,首先把具有两个及以上"重测因素"的数据资料归类,然后通过数据模拟统计实验的方法分类探讨各模型的统计学处理方法,最后对各模型的统计学处理方法进行了归纳总结。

In sport science research,repeated data measurement is extremely common.More ＂re-test factors＂ make statistical methods more complex.According to the survey of the 611 research papers with experimental design,it finds that in 295（48.28%） papers,the data are repeated measured data.Of these,84.4% has only one ＂re-test factor＂,15.6% has two or more ＂re-test factor＂.The error rate of statistic was 84.8% when ＂re-test factor＂ was more than one.Therefore,many sports science researchers cannot properly analyze this kind of data.And,so far,no literature or statistical data book systematically describes the statistical approach,which leads to the lack of principles and abuse of this method.The significant value of this study is to fill this gap and provide references for correct choice of the corresponding statistical methods in sports science.In this study,firstly,the documents of plural ＂re-test factor＂ repeated data measurement was classified.And then,the statistic methods of all categories were explored in the method of data simulation and statistical experiment.Finally,the corresponding statistical methods of various models were summarized.