摘要
体育科研中存在大量的认知数据,由于认知数据的特殊性,应用一般统计方法进行分析会出现不适应的问题。本文针对常规主成分因子分析在运用于认知数据时出现的不适用问题进行讨论,指出了主成分因子分析在认知数据中应用的局限性根本原因是认知数据自身的特性与主成分因子分析本质要求不一致。并从数据变换的角度提出了相应的解决方案,即运用非线性变换对认知数据进行预处理,使得数据的特性与主成分因子分析的条件相接近,然后实施常规主成分因子分析。实证研究表明对认知数据进行非线性统计变换,有效地解决了主成分因子分析运用于认知数据所产生的不适应现象,使得研究的结果更加真实可靠。
There are a 10t of scientific research in the cognitive data in sports, due io the special nature of cognitive data,the general application of statistical methods to analyze the problem will not adapting. This paper for conventional principal components factor analysis of the data used in cognitive does not apply when the issue for discussion, pointed out the principal conlponents factor analysis of cognitive data in the application of knowledge is the fundamental reason for the limitations of the data itself and the characteristics Of the main ingredients Factor analysis essential requirement of inconsistency. And the transformation from the perspective of the corresponding solutions, that is, use of non-linear transtbrmation of cognitive data preprocessing, making data of the principal components factor analysis and the conditions of close and regular implementation of principal components factor analysis. Empirical studies show that the cognitive nonlinear statistical data transformation, to effectively solve the principal components factor： malysis applied cognitive data generated by the phenomenon of not adapting, making research results more reliable.
出处
《四川体育科学》
2008年第4期156-160,共5页
Sichuan Sports Science
关键词
体育科研
认知数据
问题
对策
Sports Scientific research
Cognition data
Question
Countrmeasure
