SPSS20.0做因子分析的变量综合得分

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利用SPSS20.0 做因子分析，如何查看变量的综合得分呢？

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关键词：SPSS20 综合得分 因子分析 SPSS PSS 如何

From the menus choose:

Analyze > Dimension Reduction > Factor...
In the Factor Analysis dialog box, click Scores.

http://pareonline.net/pdf/v14n20.pdf

您好，谢谢您的回复，但是我用的是SPSS20.0中文版，点击 分析-降维-回归分析，接下来出现“描述”、“抽取”、“旋转”、“得分”、“选项”几个选择框，“得分”下面有“保存为变量（回归分析、Barlett(B)、Aderson-RuBinA)）”和“因子的分析数矩阵”复选框；；“选项”里面有“缺失值”和“系数显示格式”两个复选框，点击确定就可以运行了。在哪里能够得到综合得分呢？
本文来自: 人大经济论坛 SPSS专版 版，详细出处参考： https://bbs.pinggu.org/forum.php?mod=viewthread&tid=3001209&page=1&from^^uid=3636856

点击下面的粘帖出现左右结构的对话框，左边是dataset activity,factor；右边是对应的命。要想得到综合得分，是不是需要在右边的命令对话框中输入命令，应该输入什么呢？

http://www.wilderdom.com/research/CompositeScores.html

您好，麻烦问下这个是什么呢，暂时电脑又打不开这个链接了

Creating Composite Scores in SPSS

Contents Composite scores Via pull-down menus Via syntax Allow for missing values See also Composite scores One of the main flexibilities with a statistical package like SPSS (besides being able to conduct statistical analyses and obtain tabular and graphical output) is the capacity for manipulating data. One important data manipulation is the creation of new variables, which are some mathematical function of other variables. Psychological research often involves measuring fuzzy constructs, such as personality traits, by gathering responses to multiple items (such as questions in a survey) which are combined to provide a (hopefully) reliable and valid measure of a broader construct (such as extraversion). These "composite scores" can be: Unit-weighted, with the data from each item being equally weighted (by either adding all items together or calculating the average of each item), or Regression-weighted, e.g., from a factor analysis (not explained here). Via pull-down menus Make sure you have the data file open, then go to Data View (.sav) Enter new variable name in "Target Variable" Enter formula for creating composite score in "Numeric Expression" To compute the score, click OK. Scroll to the right-hand side of the data file (in Data View) and you should see a new column. If the the new variable doesn't have any data, try saving your data file (which executes any pending calculations). If data appears, then its a good idea to run frequencies, descriptives, and/or an appropriate graph to check whether you have the kind of data you intended to create. Via syntax An easy way to create the syntax commands is to follow the instructions above, but on the last step, click Paste instead of OK. The syntax can then be conveniently copied and edited - this is especially useful if you have many composite scores to calculate. It also allows the syntax commands to be saved (.sps) and recalled for later use. e.g., compute satistotl = satis+satis2+satis3+satis4+satis5. compute satismean = mean(satis1,satis2,satis3,satis4,satis5). Allow for missing values You can allow for missing values by adding ".X" after "mean", where X is the minimum number of variables that need to have data for a case in order to calculate a mean. For example, this syntax will calculate a satis score for a case as long as it has at least 3 values of the variables listed: compute satismean = mean.3(satis1,satis2,satis3,satis4,satis5). If a case has data for less than three of the variables, satis will be system missing (.). Otherwise, a mean will be created using data from all available variables. See also Francis, Section 4.5 "Creating New Variables"

收到了，辛苦了，谢谢！！！

这个帖子真好  学习了

ReneeBK 发表于 2014-4-17 12:34

我也看到过这个blogpost，但是它没有教如何考虑进每个题目的因子载荷。我觉得这样直接用平均数或求和的方法不合适。你知道如何加进载荷来求这个综合变量值吗？