The Detection of Feigning Using Multiple PAI Scale Elevations: A New Index

Michelle V. Gaines; Charles L. Giles; Robert D. Morgan

doi:10.1177/1073191112458146

The Detection of Feigning Using Multiple PAI Scale Elevations: A New Index

Michelle V. Gaines, Charles L. Giles, Robert D. Morgan

Psychological Sciences

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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.

Original language	English
Pages (from-to)	437-447
Number of pages	11
Journal	Assessment
Volume	20
Issue number	4
DOIs	https://doi.org/10.1177/1073191112458146
State	Published - Aug 2013

Keywords

MAL
MFI
NIM
PAI
RDF
SIRS
feigning

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10.1177/1073191112458146

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title = "The Detection of Feigning Using Multiple PAI Scale Elevations: A New Index",

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.",

keywords = "MAL, MFI, NIM, PAI, RDF, SIRS, feigning",

author = "Gaines, {Michelle V.} and Giles, {Charles L.} and Morgan, {Robert D.}",

note = "Funding Information: The research contained in this document was coordinated in part by the Texas Department of Criminal Justice (TDCJ project number 492-R06). The contents of this report reflect the views of the authors and do not necessarily reflect the views or policy of the Texas Department of Criminal Justice. Funding Information: This research was supported in part by a Summer Dissertation Award from Texas Tech University Graduate School. ",

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doi = "10.1177/1073191112458146",

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PY - 2013/8

Y1 - 2013/8

N2 - 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.

AB - 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.

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The Detection of Feigning Using Multiple PAI Scale Elevations: A New Index

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Keywords

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