胡纯严,胡良平.合理进行多元分析——度量型多维尺度分析[J].四川精神卫生杂志,2023,36(S1):85-91.Hu Chunyan,Hu Liangping,Reasonably carry out multivariate analysis： metric multidimensional scaling analysis[J].SICHUAN MENTAL HEALTH,2023,36(S1):85-91

Reasonably carry out multivariate analysis： metric multidimensional scaling analysis

DOI：10.11886/scjsws20230726003

English keywords:Metric Multidimensional scale Distance matrix Similarity coefficient matrix Configuration

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Author Name	Affiliation	Postcode
Hu Chunyan	Graduate School， Academy of Military Sciences PLA China， Beijing 100850， China	100850
Hu Liangping	Graduate School， Academy of Military Sciences PLA China， Beijing 100850， China Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies， Beijing 100029， China	100029

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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 an explanation was given for the output results of SAS.

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