Detection of Malingering on Raven's Standard Progressive Matrices and the Booklet Category Test

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The capacity of Raven's Standard Progressive Matrices (SPM) and the Booklet Category Test (BCT) to discriminate between groups of brain-injured, simulated malingering, and normal participants was investigated in this study. Exploratory analyses were also conducted to examine the differences between groups categorized as sophisticated and naive fakers. Clinical decision rules and discriminant function analyses were utilized to identify malingerers. Clinical decision rules ranged in hit rates from 41% to 78%, in sensitivity from 2% to 100%, and in specificity from 86% to 100%. Discriminant functions ranged in hit rates from 81% to 86%, in sensitivity from 68% to 73% and … continued below

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vii, 139 leaves

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Isler, William C. (William Charles) December 1997.

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  • Isler, William C. (William Charles)

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The capacity of Raven's Standard Progressive Matrices (SPM) and the Booklet Category Test (BCT) to discriminate between groups of brain-injured, simulated malingering, and normal participants was investigated in this study. Exploratory analyses were also conducted to examine the differences between groups categorized as sophisticated and naive fakers. Clinical decision rules and discriminant function analyses were utilized to identify malingerers. Clinical decision rules ranged in hit rates from 41% to 78%, in sensitivity from 2% to 100%, and in specificity from 86% to 100%. Discriminant functions ranged in hit rates from 81% to 86%, in sensitivity from 68% to 73% and in specificity from 82% to 87%. Overall, the least helpful detection method examined was below chance responding on either measure, while the most efficient was gross errors for SPM.

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vii, 139 leaves

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  • December 1997

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  • March 26, 2014, 9:30 a.m.

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  • March 20, 2017, 2:43 p.m.

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Isler, William C. (William Charles). Detection of Malingering on Raven's Standard Progressive Matrices and the Booklet Category Test, dissertation, December 1997; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc279309/: accessed May 26, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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