Say I have a variable with only two values: people with education level above and below high school.
Then I have other variables lie gender, nationality, race, marital status. Running crosstabs Chi-square tests on these only gives me the overall value for statistical significance, for example for nationality. What if I wanted to know if any specific nationality or race etc was more likely to have a HS degree or was more likely not to have one? Basically which category of a nominal variable was more likely to have a degree or not have one. I'm sorry about the strange way my question was worded, but I suspect my problem stems at least partially from the way I'm seeing it at the moment. Thanks! Almir |
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Are you asking about how to partition an overall chi-square? If so, maybe this will help you:
http://www-01.ibm.com/support/docview.wss?uid=swg21501724
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
Thank you, Bruce. That is pretty much what I want to do, though admittedly I was hoping for a somewhat simpler solution. All I really want to know is which variable subsets are more associated with the dependent variable.
Thanks again for taking the time to reply! Almir |
In reply to this post by deca
I think that Bruce gives a solution for a bigger problem.
For your question - In order to see which cell gives the biggest contribution to the chi-squared, you can let SPSS give you the standardized cell deviations. Plus or minus signs tell which direction. -- Rich Ulrich > Date: Fri, 25 Apr 2014 07:18:11 -0700 > From: [hidden email] > Subject: Beginner question about correlating subsets > To: [hidden email] > > Say I have a variable with only two values: people with education level above > and below high school. > > Then I have other variables lie gender, nationality, race, marital status. > > Running crosstabs Chi-square tests on these only gives me the overall value > for statistical significance, for example for nationality. What if I wanted > to know if any specific nationality or race etc was more likely to have a HS > degree or was more likely not to have one? Basically which category of a > nominal variable was more likely to have a degree or not have one. > > I'm sorry about the strange way my question was worded, but I suspect my > problem stems at least partially from the way I'm seeing it at the moment. > |
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