I have a logistic regression model with one categorical predictor (four levels). The model does not fit well; I've used a Pearson's Chi Square Test and McFaddens Pseudo R squared to evaluate. I am comparing this model to two other models to compare which fits my data the best and would like to try to improve this model before I completely discount it. I've tried researching ways to improve model fit but I have not found how to transform a logistic model with a categorical predictor. Can this be done and how would I go about doing this?

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    $\begingroup$ Can you give some details of the model you have fitted so far? $\endgroup$ – Estacionario Oct 27 '19 at 11:40

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