I have run a heterogeneous correlation on a set of binary variables, and SPSS will run the analysis, but the output is empty. That is, except on the diagonal, all cells only contain an "."
I have also tried to run it with other variables, but it does not change the result.
Help, anyone?
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Re: Empty output when running heterogeneous correlations?
20121028T02:20:20ZThis is the accepted answer. This is the accepted answer.What types of correlations is it trying to produce  that is, what is in the correlation types table?
Can you post an example dataset and syntax? I haven't seen this behavior, but if the variables are too far from a normal distribution, the procedure can fail. In that case, though, you should get a message to that effect in the output and no tables. 
Re: Empty output when running heterogeneous correlations?
20121028T20:06:23ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T02:20:20Z
What types of correlations is it trying to produce  that is, what is in the correlation types table?
Can you post an example dataset and syntax? I haven't seen this behavior, but if the variables are too far from a normal distribution, the procedure can fail. In that case, though, you should get a message to that effect in the output and no tables.
The data set is very large (N > 200000)  a series of Eurobarometers. Could this be the case?
And the variables are not normally distributed, but I get no error message either.
This is the matrix I get
Pearson, Polyserial, and Polychoric Correlationsa
Variables Statistics Variables
v1001 v1002 v1003 v1004 v1005 v1006 v1007 v1008 v1010
v1001 Correlation 1.000 . . . . . . . .
Std. Error .000 . . . . . . . .
v1002 Correlation . 1.000 . . . . . . .
Std. Error . .000 . . . . . . .
v1003 Correlation . . 1.000 . . . . . .
Std. Error . . .000 . . . . . .
v1004 Correlation . . . 1.000 . . . . .
Std. Error . . . .000 . . . . .
v1005 Correlation . . . . 1.000 . . . .
Std. Error . . . . .000 . . . .
v1006 Correlation . . . . . 1.000 . . .
Std. Error . . . . . .000 . . .
v1007 Correlation . . . . . . 1.000 . .
Std. Error . . . . . . .000 . .
v1008 Correlation . . . . . . . 1.000 .
Std. Error . . . . . . . .000 .
v1010 Correlation . . . . . . . . 1.000
Std. Error . . . . . . . . .000
Correlations computed by R Hetcor package
a N = 233672
The syntax is
DATASET ACTIVATE DataSet2.
SPSSINC HETCOR v1001 v1002 v1003 v1004 v1005 v1006 v1007 v1008 v1010
/OPTIONS ESTIMATOR=TWOSTEP STDERR=TRUE
MISSING=LISTWISE N=TRUE TYPE=TRUE
/SAVE.
Any help is appreciated :) 
Re: Empty output when running heterogeneous correlations?
20121028T20:50:26ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T20:06:23Z
It produces polychoric correlations.
The data set is very large (N > 200000)  a series of Eurobarometers. Could this be the case?
And the variables are not normally distributed, but I get no error message either.
This is the matrix I get
Pearson, Polyserial, and Polychoric Correlationsa
Variables Statistics Variables
v1001 v1002 v1003 v1004 v1005 v1006 v1007 v1008 v1010
v1001 Correlation 1.000 . . . . . . . .
Std. Error .000 . . . . . . . .
v1002 Correlation . 1.000 . . . . . . .
Std. Error . .000 . . . . . . .
v1003 Correlation . . 1.000 . . . . . .
Std. Error . . .000 . . . . . .
v1004 Correlation . . . 1.000 . . . . .
Std. Error . . . .000 . . . . .
v1005 Correlation . . . . 1.000 . . . .
Std. Error . . . . .000 . . . .
v1006 Correlation . . . . . 1.000 . . .
Std. Error . . . . . .000 . . .
v1007 Correlation . . . . . . 1.000 . .
Std. Error . . . . . . .000 . .
v1008 Correlation . . . . . . . 1.000 .
Std. Error . . . . . . . .000 .
v1010 Correlation . . . . . . . . 1.000
Std. Error . . . . . . . . .000
Correlations computed by R Hetcor package
a N = 233672
The syntax is
DATASET ACTIVATE DataSet2.
SPSSINC HETCOR v1001 v1002 v1003 v1004 v1005 v1006 v1007 v1008 v1010
/OPTIONS ESTIMATOR=TWOSTEP STDERR=TRUE
MISSING=LISTWISE N=TRUE TYPE=TRUE
/SAVE.
Any help is appreciated :) 
Re: Empty output when running heterogeneous correlations?
20121028T21:11:59ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T20:50:26Z
It could well be that the underlying R package can't handle that data. Try taking, say, just 10000 cases and see what happens. I have never tried a problem that large with this procedure. 
Re: Empty output when running heterogeneous correlations?
20121028T21:42:19ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T21:11:59Z
Well, I tried with 500,000 cases of random Bernoulli data and got appropriate results. That makes me thing that there may be something about the magnitude of the values in your data that is throwing the package off. If so, first creating z scores (Descriptives can do this for you) might help. 
Re: Empty output when running heterogeneous correlations?
20121028T21:45:16ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T21:42:19Z
Tried creating zscores, and running with those, but it still doesn't work... 
Re: Empty output when running heterogeneous correlations?
20121028T23:53:37ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T21:45:16Z
I tried with a different data set (940 cases) as well, but still no result. Could there be something that I have not installed, or that I haven't installed it properly? But wouldn't I get an error message then?
Jon 
Re: Empty output when running heterogeneous correlations?
20121030T22:07:38ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121028T23:53:37Z
This is behavior that I haven't seen before. If something were not installed, you should see no output and an error message. You haven't said what version of Statistics (and R) you are using. If you can send me the smaller dataset, I can see whether the problem reproduces on my systems. You can send it to peck at us.ibm.com.
Jon
Guri 
Re: Empty output when running heterogeneous correlations?
20121031T01:10:46ZThis is the accepted answer. This is the accepted answer. SystemAdmin
 20121030T22:07:38Z
I have sent you an email. Thanks for your help.
Guri
Regards,
Jon