斯皮爾曼相關等級係數(Spearman)，是描述兩要素之間相關程度的一

斯皮爾曼相關等級係數(Spearman)，是描述兩要素之間相關程度的一種統計指標，是很多行業在統計分析中常用的方法，所以該程序用途很廣泛(萬黎、毛炳啟，2008)；對於雙變量的相關分析，無論是教科書還是權威統計軟體 SAS 及 SPSS 等，通常介紹的方法為 Pearson 積差相關係數，Spearman 和 Kensall’ tau-b 積相關係數。Pearson 相關適用於雙變量正態分布的數，Spearman 和 Kendall’ tau-b 積相關係數適用於等級資料、非雙變量正態分布的資料以及分布不確定的數據(胡軍、張超、陳平雁，2008)。

結果 (英文) 1:

Spearman rank correlation coefficient (Spearman), is to describe a statistical indicator of the degree of correlation between the two elements, is commonly used in many industries in the statistical analysis method, so the program is so widely used (Wan Li, Mao Bingqi, 2008); for bivariate correlation analysis, whether textbooks or authoritative statistical software such as SAS and SPSS, usually describes a method for the Pearson product-moment correlation coefficient, Spearman and Kensall 'tau-b correlation coefficient product. Pearson correlation applies to the number of bivariate normal distribution, the Spearman and Kendall 'tau-b correlation coefficient applied to the product level item non bivariate normal distribution and the distribution of data uncertain (Chang, Chao, Chen Pingyan , 2008).

結果 (英文) 2:

Spielman correlation coefficient (Spearman), is a statistical pointer to describe the degree of correlation between the two elements, is a commonly used method in statistical analysis in many industries, so the program is widely used (Wan Li, Mao Qi, 2008); And SPSS, etc., are typically introduced by Pearson product coefficientcorrelation coefficients, Spearman and Kensall'tau-b product correlation coefficients. Pearson correlation applies to the number of two-variable normal distributions, and Spearman and Kendall's tau-b product correlation coefficients are applied to hierarchical data, non-dual-variable normal distribution data, and data with uncertain distributions (Hu Jun, Zhang Chao, Chen Pinghui, 2008).

結果 (英文) 3:

Spearman correlation grade coefficient (Spearman) is a statistical index to describe the correlation degree between the two elements. It is a common method used in many industries in statistical analysis, so the program is widely used (Wanli, Mao Bingqi, 2008); for the correlation analysis of two variables, no matter in textbooks or authoritative statistical software SAS and SPSS, the commonly introduced method is Pearson Pearson correlation is applicable to the number of bivariate normal distribution, while Spearman and kendall'tau-b are applicable to the data of rank, nonbivariate normal distribution and the data of uncertain distribution (Hu Jun, Zhang Chao, Chen Pingyan, 2008).