急问怎么做因子分析的Q型分析

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在做一个因子分析的题，老师说要用R型分析，和Q型分析，不知道后者怎么在程序里实现？

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关键词：因子分析 怎么做 不知道 因子分析

因子分析也分R和Q型吗，只知道聚类分为对变量和对指标的、

Q-type factor analysis: Forms groups of respondents or cases based on their similarity on a set of characteristics. Note that the goal of this type of analysis is the same as that of cluster analysis, though the procedure is different.This application is not used much today since a variety of clustering techniques have been developed that are designed specifically for the purpose of grouping multiple subjects into independent groups.

Step 1 Compute a k by k intercorrelation matrix. Compute the factorability of the matrix.
Step 2 Extract an initial solution
Step 3 From the initial solution, determine the appropriate number of factors to be extracted in the final solution
Step 4 If necessary, rotate the factors to clarify the factor pattern in order to better interpret the nature of the factors
Step 5 Depending upon subsequent applications, compute a factor score for each subject on each factor.

R-type factor analysis: Analyzes relationships among variables to identify groups of variables forming latent dimensions (factors). This is what is represented by the traditional useage of the term "factor analysis".

[此贴子已经被作者于2008-5-20 5:55:28编辑过]

有啊，老师是这么讲的

以下是引用seelight84在2008-5-19 23:01:00的发言：

因子分析也分R和Q型吗，只知道聚类分为对变量和对指标的、

有啊，可能不同的书讲的不一样吧

以下是引用hanszhu在2008-5-20 5:45:00的发言：

Q-type factor analysis: Forms groups of respondents or cases based on their similarity on a set of characteristics. Note that the goal of this type of analysis is the same as that of cluster analysis, though the procedure is different.This application is not used much today since a variety of clustering techniques have been developed that are designed specifically for the purpose of grouping multiple subjects into independent groups.

Q-type factor analysis: Forms groups of respondents or cases based on their similarity on a set of characteristics. Note that the goal of this type of analysis is the same as that of cluster analysis, though the procedure is different.This application is not used much today since a variety of clustering techniques have been developed that are designed specifically for the purpose of grouping multiple subjects into independent groups.

Step 1 Compute a k by k intercorrelation matrix. Compute the factorability of the matrix.
Step 2 Extract an initial solution
Step 3 From the initial solution, determine the appropriate number of factors to be extracted in the final solution
Step 4 If necessary, rotate the factors to clarify the factor pattern in order to better interpret the nature of the factors
Step 5 Depending upon subsequent applications, compute a factor score for each subject on each factor.

Step 1 Compute a k by k intercorrelation matrix. Compute the factorability of the matrix.
Step 2 Extract an initial solution
Step 3 From the initial solution, determine the appropriate number of factors to be extracted in the final solution
Step 4 If necessary, rotate the factors to clarify the factor pattern in order to better interpret the nature of the factors
Step 5 Depending upon subsequent applications, compute a factor score for each subject on each factor.

R-type factor analysis: Analyzes relationships among variables to identify groups of variables forming latent dimensions (factors). This is what is represented by the traditional useage of the term "factor analysis".

R-type factor analysis: Analyzes relationships among variables to identify groups of variables forming latent dimensions (factors). This is what is represented by the traditional useage of the term "factor analysis".

Thank you very much!

I've solved this problem!

解釋的有點複雜, 簡單點說q型是在答卷者中找群組, r型在變數中找群組
所以計算上只要找數據轉置(答卷者橫列,變數直行)再使用因數分析即為q型
一般以答卷者直行變數橫列即為r型

一样做法，Q型是对样品做

，spss点两下就行，关键要看懂

[此贴子已经被作者于2008-5-22 0:15:40编辑过]

http://www.docin.com/p-11066961.html利用SPSS进行因子分析（Q型）