Re: SPSS warning from regression

Posted by Bruce Weaver on Nov 04, 2020; 3:22pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-warning-from-regression-tp1074315p5739925.html

Adding to Jon's summary, the OP posted this in March 2007:


> Thank you all for responding to my question. I found out that I forgot to
> exclude an independent variable that has all missing values. Now the
> problem has been solved.

Let me also reiterate some advice ViAnn gave earlier in the thread:  If one
includes all variables in the model on a DESCRIPTIVES command, the Valid N
(listwise) result at the bottom of the table will show how many observations
will be included in the regression model.  As Jon noted, there is no need to
compute a mean across variables.  

HTH.



Jon Peck wrote

> The original post, which did not appear in my email, seems to be this.
> Warnings
>
> There are no valid cases for models with dependent variable alldays.
> Statistics cannot be computed.
>
> No valid cases found. Equation-building skipped.
>
> I checked the data and it seems all right. I also ran descriptives and
> the results come out right. Anybody also had such problem before? Any
> suggestions to fix the problem? Thank you!
> -----------
> This probably means that there was enough missing data to knock out  all
> the cases.
> A  case would be excluded if any of the variables in the regression has a
> missing value.
>
> This has nothing to do with "calculating the mean and total for the
> variables" except that that calculation
> from REGRESION would give you the same error message.
>
> On Tue, Nov 3, 2020 at 10:24 PM Avneer <

> avneers@

> > wrote:
>
>> Although this reply is slightly late, it may help others that are also
>> facing
>> the same issue now.
>>
>> If you are doing a multiple regression, with multiple variables, you may
>> have made a rooky erorr of not first calculating the mean and total for
>> the
>> varibles.
>>
>> You do this by ,
>>
>> going to transform, then compute variable, then for the label type
>> meaninsertvariablename then in the box put MEAN (Q___ to Q___) this will
>> then create a coloum for this.
>>
>> to get the total again , transform, compute variable, then label
>> total.....
>> then in the box put (Q___ +Q____... etc)  this will create a total.
>>
>> then to calcualte the multiple reggresion , go to analyse, regression,
>> linear.
>> in the dv  enter the mean dv variable you are mesuring e.g. meanHappiness
>> in the Iv enter the other variables e.g. meanaggression, meanenvironment
>> etc.
>>
>> you can then tap the stat's box and select the correct measures you want
>> ,
>> e.g. part and partial correlantions, estimates, model fit, colineraity.
>>
>> then press continue then ok
>>
>> this will then output your results, i hope this helps anyone who comes
>> across this issue.
>>
>>
>>
>>
>>
>> --
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>
>
> --
> Jon K Peck

> jkpeck@

>
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