Reasonably carry out multivariate analysis: metric multidimensional scaling analysis
DOI:10.11886/scjsws20230814003
English keywords:Metric  multidimensional scale  Distance matrix  Similarity coefficient matrix  Configuration
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Author NameAffiliationAddress
Hu Chunyan Graduate School,Academy of Military Sciences PLA China 北京海淀厢红旗东门外甲1号
Hu Liangping Graduate School,Academy of Military Sciences PLA China 北京海淀厢红旗东门外甲1号
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English abstract:
      The purpose of the paper was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the metric multidimensional scaling analysis. Basic concepts included metric and multidimensional scaling, application occasions, distance matrix and similarity coefficient matrix, research objects, configuration and composition, basic ideas of multidimensional scaling analysis; the calculation method involved classical multidimensional scaling analysis and least square multidimensional scaling analysis; the data in the two examples were "distance between 12 major cities in Gansu Province" and "correlation coefficient matrix between 8 test items"; with the help of SAS software, the multidimensional scale analysis was carried out on the data in the two examples, and a reasonable explanation was given for the output results of SAS.
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