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内容是关于大学生就业选择期望的。因变量是期望就业区域，自变量是性别、生源地、家庭年收入、学习成绩、是否兼职、是否为学生干部、是否是党员。。。所有变量都是分类变量。运行的时候在模型那项里有主效应、全因子、自定义，应该怎么选？请问下图是什么意思？怎么解决？恳请spss高人帮忙。。。

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关键词：逻辑回归 大学生就业 是什么意思 家庭年收入 分类变量 大学生就业 年收入 因变量 自变量 模型

Singularities mean that you don't have enough data spread throughout key regions of your data set. You need to discover what portions of the data set have adequate data coverage and what portion of the data set have inadequate data coverage.
So,fit  more simple models with fewer independent variables and/or combine some of the levels of your dependent variable. You won't report these simpler models (though maybe you should), but by learning which models generate the singularity message and which models do not, you'll learn where the data allows you to make substantive predictions and where it does not. It will take a lot of trial and error, but eventually, you will be able to find the cause of the singularity.   

mssr 发表于 2011-9-25 19:18
Singularities mean that you don't have enough data spread throughout key regions of your data set. Y ...

本人对spss不怎么懂，基本算是菜鸟级的，英文也不怎么看懂。。。谢谢您的帮助！

可能是你的数据缺失太严重！

cjblovebj 发表于 2011-9-26 21:45
可能是你的数据缺失太严重！

数据都有，模型里都是分类变量，就是问题多，检验也通不过。。。恳请指点！