08-09-2016 07:44 AM
I intend to use PROC MEANS in order to get details (average, median, std, max, min) on 3 seperate groups. Is there any possibility
to check the difference between the groups using chi-square in this procedure? because I did not find it
Thanks a lot!
08-09-2016 11:17 AM
The chi-square test in PROC FREQ tests whether the proportions (or counts) in each cell of a one-way analysis of a discrete variable are significantly different. Is that your situation?
For a continuouis response variable, analysts often use PROC GLM to compare mean values across three or more groups. The GLM output includes an OverallAnova table that shows the result of an F test which indicates whether the means of the groups are significantly different.
08-10-2016 01:55 AM
Thanks for your reply and also for the explanation
I actually need the chi-square test to test whether the proportions in a discrete variable are significantly different. But the information about the PROC GLM is important to me for my next step.
Thanks a lot!
08-11-2016 01:59 AM
Following our correspondence above I would like to ask for your help,
I am trying to see if there is any difference between 3 groups of continouse variable. So I used PROC FREQ with Chi Square and got
a long list divided by 3 groups (it probably took every value in this list and indicated the frequency values). But more important is that I got the following message:
WARNING: 100% of the cells have expected counts less
than 5. Chi-Square may not be a valid test.
Effective Sample Size = 3986
Frequency Missing = 828
WARNING: 17% of the data are missing.
I checked and there is NO MISSING DATA but there is missing data if we divide it to 3 groups (attached an example)
First, I hope my description with my broken English is clear, BUT how can I solve it?
Thanks a lot!!!
08-11-2016 05:27 AM
As I said in my previous message, PROC FREQ is for discrete response, typically counts. If you have a continuous response, you need to use a different procedure such as GLM.
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