请高手帮忙呀~~~用SPSS能不能进行有序样品的聚类分析呢？

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

请问用SPSS能不能进行有序样品的聚类分析呢？
请高手解答呀
具体是如何操作的呢？

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：聚类分析 SPSS PSS 如何操作 高手 SPSS 聚类分析 帮忙 样品

自己先顶一个~~~
不要沉下去呀~~~
期待高手解答哦~~~

顶啊

Can I rephrase your question as"Can we conduct cluster analysis using ordinal data?"? Thanks

You are trying to determine an appropriate distance measure, and clearly you are noticing how tricky this can be.

Ordinal data is not interval data. You should consider:

• Whether the distance between each category is the same (is the distance between 2 and 3 the same as the distance between 3 and 4?)
• Whether special consideration needs to be given to the neutral/null category (in your case, 1: no effect).
• Whether several of your causes variables need to be considered together. For example, you may decide to sum 2 related variables together and treat them as one (derivative) variable for purposes of clustering.
• These considerations have psychological roots. For example, people tend to give more weight to the difference between options at the ends of the scale than in the middle.
  

You may decide on an approach based on these considerations that involves: - cleaning the data - transforming the current scale into one in Euclidean space. or, you may decide this is not necessary for your purposes.

Existing research that uses the Likert scale often utilizes distance measures based on Cosine distance and Pearson Correlation.

You may find the following useful:

Under what conditions should Likert scales be used as ordinal or interval data?
https://news.ycombinator.com/item?id=2423313

The TWOSTEP cluster procedure in SPSS handles variables at different levels of measurement.  It produces a simple clustering, not a hierarchical clustering.Details of how to proceed depend on the details such as what questions you are using the data to answer, any logical sets of variables, etc.

• If you are using Likert scales (sum or mean of a set of Likert items), the results are very unlikely to discrepant from the interval level of measurement.
• If you have Likert items meant to be be part of scales, you might want to do item analysis (e.g., with RELIABILITY) and see if they do comprise a scale or scales.
• Age is usually considered a ratio level variable.  There is an intrinsic meaning to zero.
  

My answer to your question is YES, please refer the following lecture notes for detail.

• http://webpages.iust.ac.ir/yaghini/Courses/Data_Mining_881/DM_05_02_Types%20of%20Data.pdf
• http://www.seas.gwu.edu/~bell/csci243/lectures/clustering.pdf
• https://www.rss.org.uk/uploadedfiles/userfiles/files/Hennig_Nov__2012.pdf
• http://home.dimacs.rutgers.edu/~melj/Weak.pdf
• http://www.nesug.org/proceedings/nesug00/st/st9005.pdf