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Abstract
This study examines the behavior of the Millon Clinical Multiaxial Inventory-II (MCMI-II) in the face of various response styles and biases. The profiles and validity configurations of eight different test-taking styles were analyzed. Four hundred MCMI-II inventories (50 for each of the following categories) were administered or generated to produce the following: (a) normal endorsement by subjects, (b) fake good for administrative reasons, (c) fake good for clinical reasons, (d) fake bad administratively, (e) fake bad clinically, (f) 50% true/50% false computer generated, (g) 95% true computer generated, and (h) 95% false computer generated. Good statistical and clinically relevant separation of the profiles was found for normal, fake good, fake bad, and the randomly generated profiles with 44% of the variance predicted. The percentage of profiles identified by validity scales, however, was modest.