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Meta-analytic Re-assessment of the Validity of Miller Forensic Assessment Test for Detection of Malingering

Author

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  • Zack Z. Cernovsky

    (Western University, Canada)

Abstract

Background: The Miller Forensic Assessment of Symptoms Test (M-FAST) is used widely for the assessment of malingering of medical symptoms. Its validity has allegedly been supported by meta-analytic study of M-FAST in 2019 by Detullio et al. Credibility of Detullio’s results is damaged by an inclusion of data based on analog validation and also on dubious convergent validation procedures that falsify estimates of M-FAST’s validity. Method: In the present study, the meta-analysis was calculated on 3 types of M-FAST data: (1) 5 samples of scores of healthy persons instructed to respond honestly, (2) 5 samples of scores of medical patients, and (3) 10 samples of scores of healthy persons instructed to feign mental illness (so called “instructed malingerers”). Results: In an ANOVA (F(2,815)=398.50, p

Suggested Citation

  • Zack Z. Cernovsky, 2021. "Meta-analytic Re-assessment of the Validity of Miller Forensic Assessment Test for Detection of Malingering," European Journal of Medical and Health Sciences, European Open Science, vol. 3(3), pages 85-92, May.
    • Handle: RePEc:epw:ejmed0:v:3:y:2021:i:3:id:40895
    DOI: 10.24018/ejmed.2021.3.3.895
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