In forensic contexts, reverse malingering and faking good are no rare observations. Continuing a previous study in which the authors had drawn up an index to detect faking good in forensic contexts (FEDI), based on the MMPI-2 scales, the pre- sent work proposes an index to be used in military enlistment procedures, which has been denominated as the Military En- listment Dissimulation Index (MEDI).The work describes two consecutive studies: in the first study a group of candidates for military enlistment was selected in order to discriminate the MMPI-2 variables at the highest risk of faking and thereby build the MEDI index. In the second study the MEDI index was validated on two different cohorts of candidates for enli- stment, applying the Receiver Operating Characteristic (ROC) Curve for comparisons with a control group.The perfor- mance of MEDI in discriminating enlistment candidates from the volunteer respondents resulted satisfactory in terms of diagnostic accuracy (Cohort 1: Area Under Curve = .79, Standard Error = .03, Sensibility = .85, Specificity = .78; Cohort 2: Area Under Curve = .79, Standard Error = .03, Sensibility = .82, Specificity = .70).

Detecting faking good in military enlistment procedure according to a new index for the MMPI-2

Andrea Bosco;Andrea Lisi;Alessandro O. Caffò;Roberto Catanesi;Ignazio Grattagliano
2020

Abstract

In forensic contexts, reverse malingering and faking good are no rare observations. Continuing a previous study in which the authors had drawn up an index to detect faking good in forensic contexts (FEDI), based on the MMPI-2 scales, the pre- sent work proposes an index to be used in military enlistment procedures, which has been denominated as the Military En- listment Dissimulation Index (MEDI).The work describes two consecutive studies: in the first study a group of candidates for military enlistment was selected in order to discriminate the MMPI-2 variables at the highest risk of faking and thereby build the MEDI index. In the second study the MEDI index was validated on two different cohorts of candidates for enli- stment, applying the Receiver Operating Characteristic (ROC) Curve for comparisons with a control group.The perfor- mance of MEDI in discriminating enlistment candidates from the volunteer respondents resulted satisfactory in terms of diagnostic accuracy (Cohort 1: Area Under Curve = .79, Standard Error = .03, Sensibility = .85, Specificity = .78; Cohort 2: Area Under Curve = .79, Standard Error = .03, Sensibility = .82, Specificity = .70).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/264880
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