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The detection of feigning using multiple PAI scale elevations: a new index
Michelle V Gaines1, Charles L Giles, Robert D Morgan
1Texas Tech University Health Sciences Center, Lubbock, TX 79404, USA. michelle.v.gaines@ttuhsc.edu
Abstract:
Archival data were collected from 98 male inmates at a psychiatric inpatient unit to examine the utility of the Multiscale Feigning Index (MFI) as a proposed feigning index for the Personality Assessment Inventory (PAI). MFI was compared with existing PAI feigning indices, Malingering (MAL), Negative Impression Management (NIM), and Rogers Discriminant Function (RDF), using performance on the Structured Interview of Reported Symptoms (SIRS) as the feigning criterion. Regression analyses revealed that MFI was a stronger predictor of SIRS outcome than NIM, MAL, and RDF. In addition, NIM, MAL, and RDF did not add substantial incremental validity to MFI in predicting SIRS outcome. Receiver operating characteristic analyses revealed sensitivity of 68.89% and specificity of 94.34% at an MFI cutoff of more than 76, which compared favorably with the utility of NIM, MAL, and RDF.
Insights
The Multiscale Feigning Index (MFI) effectively identifies feigning on the Personality Assessment Inventory (PAI), outperforming other indices. This feigning detection tool shows high accuracy in psychiatric inpatient settings.
Area of Science:
- Forensic Psychology
- Clinical Psychology
- Psychometric Assessment
Background:
- Accurate assessment of feigning is crucial in forensic and clinical settings.
- Existing measures for detecting feigning on the Personality Assessment Inventory (PAI) include Malingering (MAL), Negative Impression Management (NIM), and Rogers Discriminant Function (RDF).
- The Multiscale Feigning Index (MFI) is a proposed feigning index for the PAI.
Purpose of the Study:
- To evaluate the utility of the Multiscale Feigning Index (MFI) for detecting feigning in male inmates.
- To compare the MFI's performance against established PAI feigning indices (NIM, MAL, RDF).
Main Methods:
- Archival data from 98 male inmates in a psychiatric inpatient unit were analyzed.
- The Structured Interview of Reported Symptoms (SIRS) was used as the criterion measure for feigning.
- Regression and Receiver Operating Characteristic (ROC) analyses were employed to compare the indices.
Main Results:
- The MFI demonstrated a stronger predictive relationship with SIRS outcomes compared to NIM, MAL, and RDF.
- NIM, MAL, and RDF did not provide significant incremental validity when MFI was considered.
- At an MFI cutoff of >76, sensitivity was 68.89% and specificity was 94.34%, indicating favorable diagnostic utility.
Conclusions:
- The Multiscale Feigning Index (MFI) is a robust and effective measure for identifying feigning on the PAI.
- The MFI surpasses existing PAI feigning indices in accuracy and clinical utility.
- The MFI shows promise for use in psychiatric inpatient settings, particularly with forensic populations.
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