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SPSS Topics Discussion > Binary Logistic Regression - Testing the model

Hi,

I am a frustrated student working on my term paper in Multivariate Data Analysis. I'm expected to conduct a binary logistic regression of one dependent variable and seven independent (five of them are categorical). I have now pushed the button and got the output. How do I interpret this mess in terms of how well the model represents the data? Something like the adjusted R-square in linear regression would be great, but the Chi-square, etc. makes no sense to me...

Your help will be highly appreciated!

Best regards,
Espen

April 30, 2012 | Unregistered CommenterEspen

Hi Espen!

Thanks for your post! I'm afraid the broad concept of interpreting a logistic regression isn't realistic to adequately describe in a forum post, but if you have specific questions about the process, I'm happy to try to help you in the process.

For example, with respect to R-squared (which you specifically referenced in your question), you can ask SPSS to produce "pseudo R-square" statistics, which provide an interpretation that is similar to a linear R-square, but in the context of logit. Here is a link to a great resource that describes the different kinds of Pseudo R-square: CLICK HERE FOR INFO ABOUT PSEUDO R-SQUARE.

Here is another link that describes R-square in general and even provides an example analysis!

CLICK HERE FOR INFO ABOUT LOGISTIC REGRESSION.

Finally, if you would like some in-depth assistance with the process, you can follow the link below to request statistical consultation:

CLICK HERE TO REQUEST CONSULTING.

May 1, 2012 | Registered CommenterJeremy Taylor

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