I got highly significant negative logit values of the logistic regression . Is Nagelkerke R Square R2=0.22 significant enough to explain the changes in the variables?
In the social area. Some people think that over 30 is a good explanation, however, I think that over 15% you can explain or you can show that your variables contribute to explain your phenomenon. In experimental sciences, on the other hand, because the environment is more controlled, the Nagelkerke R2 is expected to be significantly higher.
I have never found pseudo Rsquares to be of any value. Personally I don't calculate or look at them. You might notice what we did in our last paper. Best wishes David Booth
I agree with David Eugene Booth here. I wrote this brief explainer as a supplement to a book a few years back. I think Nagelkerke's is probably the least useful in practice as it hasn't really got an intuitive interpretation.
Chapter Pseudo-R2 and related measures. Online Supplement 4 to Serio...
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