Posted by
msherman on
Mar 10, 2011; 1:26am
URL: http://spssx-discussion.165.s1.nabble.com/Re-example-output-from-crosstabs-column-proportions-tp3422615.html
Below is an output from crosstabs using column proportion testing. But what does it show? That 50/50 is significantly different from 20/80? Martin Sherman
x * y Crosstabulation
y
1.00 2.00 Total
x 1.00 Count 40 a 10 b 50
% within x 80.0% 20.0% 100.0%
% within y 50.0% 20.0% 38.5%
2.00 Count 40 a 40 b 80
% within x 50.0% 50.0% 100.0%
% within y 50.0% 80.0% 61.5%
Total Count 80 50 130
% within x 61.5% 38.5% 100.0%
% within y 100.0% 100.0% 100.0%
Each subscript letter denotes a subset of y categories whose column proportions do not differ significantly from each other at the .05 level.
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Bruce Weaver
Sent: Wednesday, March 09, 2011 6:10 PM
To:
[hidden email]
Subject: Re: chi-square post-hoc tests
This is the second or third time I've seen someone mention z-tests under CROSSTABS. I'm not familiar with that--is it new in v19?
Thanks,
Bruce
Bridgette Portman wrote:
>
> That seems like so much extra work. What about the "compare column
> proportions" option under "z-tests" in Crosstabs --> Cells? Is anyone
> familiar with using this? If I am interpreting it right, it allows for
> the kind of pairwise comparisons I'm trying to do, with the option for
> a Bonferroni adjustment to the alpha level.
>
> Bridgette
>
>
>> If one of the elements remains as 2 levels (e.g., 2 X 3), use
>> logistic regression, with the 2-level variable as the outcome. Then
>> use appropriate a priori contrasts to disentangle the df (2 df in the
>> case of the 3 level variable).
>>
>> If none of the elements are 2 levels, then you need to consider a
>> multinomial logistic regression.
>>
>> Joe Burleson
>>
>> -----Original Message-----
>> From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf
>> Of Bridgette Portman
>> Sent: Wednesday, March 09, 2011 1:00 AM
>> To:
[hidden email]
>> Subject: chi-square post-hoc tests
>>
>> I have another question.
>>
>> I'm confused about how to perform post-hoc tests for chi-square
>> contingency tables larger than 2 x 2. I've been reading up on it in
>> books and on the internet, and there seem to be two different methods advised.
>> Some say to do multiple pairwise comparisons (2x2 tables) with a
>> Bonferroni correction. Others say to look at the standardized residuals.
>> I'm not sure which is the better way. Is there any easy way to
>> perform posthoc tests on contingency tables in SPSS?
>>
>> Thanks,
>> Bridgette
>>
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-----
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