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Updated: Aug 12, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Have we forgotten the base rate problem? Methodological issues in the detection of distortion
B Rosenfeld1, S A Sands, W G Van Gorp
1Department of Psychology, Long Island University, Brooklyn, NY 11201, USA. Barry.Rosenfeld@LIU.edu
Detecting malingering in forensic and neuropsychological assessments requires careful consideration of methodological issues. This research reviews key factors influencing the accuracy of malingering prediction models.
Area of Science:
- Forensic Psychology
- Neuropsychology
- Psychological Assessment
Background:
- Accurate detection of malingering and response distortion is crucial in forensic and neuropsychological evaluations.
- Existing methods for identifying malingering face methodological challenges that impact reliability and validity.
Purpose of the Study:
- To highlight critical methodological issues in research predicting malingering.
- To examine factors affecting the accuracy of malingering detection in neuropsychological testing.
Main Methods:
- Review of methodological concerns in malingering prediction research.
- Discussion of recent publications on the utility of various malingering detection methods.
Main Results:
- Optimal cutoff scores and the utility of existing measures require careful index selection.
- Base rates of malingering significantly impact the accuracy of prediction models.
- Combining multiple measures can offer incremental accuracy in malingering detection.
Conclusions:
- Methodological rigor is essential for valid interpretation of data in malingering detection.
- Understanding the relationship between test validity and data interpretation is key.
- Addressing these methodological concerns is vital for advancing the field of malingering assessment.
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