Related Experiment Video
Updated: Jun 5, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Effective cutoffs for detecting random, partially random, and nonrandom 370-item MMPI-2 short form protocols
1Institute for the Study of Interpersonal Violence and Cuyahoga County Juvenile Court Diagnostic Clinic, Cleveland, Ohio. tpinsoneault@neo.rr.com
Abstract:
The ability of the 370-item short form MMPI-2 (Butcher, Graham, Ben-Porath, Tellegen, Dahlstrom, & Kaemmer, 2001) validity scales to detect random protocols was investigated using samples of 500 nonrandom protocols, 250 half-random protocols, and 250 all-random protocols. The long-form cutoff of VRIN ≥ 80 was unable to detect protocols with either level of randomness. The long-form cutoffs of Fp ≥ 100 or F ≥ 100 were able to detect all-random but not half-random protocols. Alternative cutoffs for VRIN, Fp, and F were investigated and short-form subscales of those scales were developed to improve detection of partially random protocols. An algorithm using alternative cutoffs for the scales and the new subscales was highly effective, detecting almost all of the random protocols as well as the nonrandom protocols. A follow-up cross-validation study was conducted that confirmed the effectiveness of the algorithm.
Related Concept Videos
Self-Report Tests of Personality
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
Censoring Survival Data
