Although, in Logistic Regression, modelling procedures are more complex and time-consuming, the results are more statistically robust. Moreover, Logistic Regression has the capability of associating ...

Results of the fast elimination analysis are shown in Output 39.1.9 and Output 39.1.10. Initially, a full model containing all six risk factors is fit to the data (Output 39.1.9). In the next step ...

Timothy R. Miller, Judith A. Spray, Logistic Discriminant Function Analysis for DIF Identification of Polytomously Scored Items, Journal of Educational Measurement, Vol. 30, No. 2 (Summer, 1993), pp.