Thanks alot sir

I would have suggested the same two web-pages Mario did.  For another nice one on binary logistic regression, see Module 4 on the page linked below. 

I've also attached some notes I wrote back in 2003 when trying to explain to a colleague how the odds ratios worked in a multinomial logistic regression model where the outcome variable had 3 levels.  Perhaps you will find it useful. 

HTH.

http://www.restore.ac.uk/srme/www/fac/soc/wie/research-new/srme/index.html

If you want a good book with complete easily explaned theory and well discussed examples to each chapter than read "Discovering Statistics Using SPSS" by Andy Field. It's primarly written for non-statisticians but also statisticians get a lot of useful information.

Best regards, Antonia

http://www.amazon.com/Discovering-Statistics-Using-SPSS-Field/dp/1446249182/ref=sr_1_1?ie=UTF8&qid=1441612124&sr=8-1&keywords=andy+field+statistics

Thanks alot antonia...

I agree with Antonia Griesbacher's response.  I have used Field's book both as a text in my research seminar classes and as a resource for my own research.  His book is well-written, and his chapter on logistic regression covers both binary and multinomial regression with good explanations for how to interpret the odds ratios.  

Please, find hereafter one of my papers, published into CSBIGS which includes an introduction to binary logistic regression with SPSS :

http://www.bentley.edu/centers/sites/www.bentley.edu.centers/files/csbigs/Desbois.pdf

Moreover, you can find also some guidance to compare classificatory performances between several models with ROC curves in SPSS  (about a comparison between binary logistic regression and discriminant analysis on credit scoring performances for farm holdings into this paper,)

Best regards.

http://www.bentley.edu/centers/sites/www.bentley.edu.centers/files/csbigs/Desbois.pdf