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What does it means if no CI was given for binary logistic regression analysis in SPSS output?

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Can you add a screenshot or cut and past the results? It could mean anything from "You aren't looking in the right place" to "It couldn't be calculated, which means something is very, very wrong". We can't really know without more information. –  Fomite Dec 19 '12 at 7:21
    
Here is the output of the analysis –  StatLearner Dec 19 '12 at 8:09
    
I tried but can't past the sanapshot of the output. Here is the text from the output –  StatLearner Dec 19 '12 at 8:19
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Please edit your question to include the output - don't put it in a comment. –  Stephan Kolassa Dec 19 '12 at 8:29
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If you made a screenshot of SPSS output, post it on imgur and give us the link or we can insert the picture in your post for you. It would also be better to register your account. –  chl Dec 19 '12 at 10:45
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It looks like that the standard errors for your coefficients (B) are so large (look at the column named S.E.) that the values of $exp(B + SE)$ are practically infinite. You probably need a larger sample size or more relevant variables. Basically you couldn't reject the null hypothesis (no effect) with your model.

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I also would suggest to investigate the existing data base for anomalies... –  Giorgio Spedicato Dec 26 '12 at 8:08
    
In addition to what @user765195 wrote about overall sample size, you probably need to watch out for specific categories of predictors that have sample sizes in the single digits. –  rolando2 Dec 28 '12 at 0:50
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I expect that you have discovered the Hauck-Donner effect in logistic regression where the liklihood flattens out and gives a much too large estimate of the standard error using Wald techniques. You need to find a tool that will give results based on liklihood ratios rather than Wald techniques when this happens.

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