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Cross validation of the response bias scale and the response bias scale-19 in active-duty personnel: use on the MMPI-2-RF and MMPI-3.

Paul B IngramPatrick J Armistead-JehleLucas G ChildersTristan T Herring
Published in: Journal of clinical and experimental neuropsychology (2024)
The Response Bias Scale (RBS) is the central measure of cognitive over-reporting in the MMPI-family of instruments. Relative to other clinical populations, the research evaluating the detection of over-reporting is more limited in Veteran and Active-Duty personnel, which has produced some psychometric variability across studies. Some have suggested that the original scale construction methods resulted in items which negatively impact classification accuracy and in response crafted an abbreviated version of the RBS (RBS-19; Ratcliffe et al., 2022; Spencer et al., 2022). In addition, the most recent edition of the MMPI is based on new normative data, which impacts the ability to use existing literature to determine effective cut-scores for the RBS (despite all items having been retained across MMPI versions). To date, no published research exists for the MMPI-3 RBS. The current study examined the utility of the RBS and the RBS-19 in a sample of Active-Duty personnel ( n  = 186) referred for neuropsychological evaluation. Using performance validity tests as the study criterion, we found that the RBS-19 was generally equitably to RBS in classification. Correlations with other MMPI-2-RF over- and under-reporting symptom validity tests were slightly stronger for RBS-19. Implications and directions for research and practice with RBS/RBS-19 are discussed, along with implications for neuropsychological assessment and response validity theory.
Keyphrases
  • machine learning
  • systematic review
  • deep learning
  • emergency department
  • mild cognitive impairment
  • artificial intelligence
  • big data
  • clinical evaluation