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Beyond Rare-Symptoms Endorsement: a Clinical Comparison Simulation Study Using the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) with the Inventory of Problems-29 (IOP-29)

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TLDR
In this paper, the authors used the Inventory of Problems-29 (IOP-29) and the MMPI-2 to detect feigning depression in 155 Italian adults.
Abstract
To date, the MMPI-based, rare-symptom detection strategy is considered one of the most effective ones in symptom validity assessment. Because many of the items of the Inventory of Problems-29 (IOP-29) were designed specifically to provide incremental validity over the MMPI F scales, this study tested whether using the IOP-29 in combination with the MMPI-2 would provide higher classification accuracy compared to using either instrument alone. A total of 155 Italian adult individuals contributed to this study. About half (n = 93) were experimental malingerers (expMAL) instructed to simulate depression without being detected as feigners. The others were either (a) depressed patients in treatment (n = 36) or (b) individuals evaluated for possible malingering associated with work-related stress and considered to be genuinely affected by depression (n = 26). All were administered the Italian versions of both the MMPI-2 and the IOP-29. As expected, both instruments were highly effective in discriminating feigned from bona fide depression, with AUC values ranging from .77 to .90. More importantly, when entering the IOP-29 after each of the MMPI-2 scales under consideration (i.e., F, Fb, and Fp), the logistic regression models predicting group membership (0 = patient; 1 = expMAL) improved significantly. Likewise, each of the three MMPI-2 scales under consideration also significantly improved the prediction of group membership, when entered after the IOP-29. These findings thus indicate that using the MMPI-2 together with the IOP-29 could provide incremental validity over using either instrument alone, when testing depression-related complaints.

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Citations
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Verbal fluency and digit span variables as performance validity indicators in experimentally induced malingering and real world patients with TBI.

TL;DR: Among students, VF measures had higher signal detection performance than previously reported in clinical samples, likely due to the absence of genuine impairment, and suggest that existing validity cutoffs can be extended to cognitively high functioning examinees, and emphasize the importance of population-specific cutoffs.
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Introducing a forced choice recognition trial to the Hopkins Verbal Learning Test - Revised.

TL;DR: The newly introduced FCR trial has the potential to enhance the existing arsenal of EVIs within the HVLT-R but must demonstrate its ability to differentiate genuine impairment from non-credible responding before it can be recommended for clinical use.
Journal ArticleDOI

SVT Meets PVT: Development and Initial Validation of the Inventory of Problems – Memory (IOP-M)

TL;DR: In this article, the authors presented the development and initial validation of a PVT module designed to be used in combination with a free-standing SVT Named Inventory of Problems -Memory (IOP-M), which consists of a 34-item, two-alternative, forced-choice, implicit recognition test.
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A clinical comparison simulation study using the Inventory of Problems-29 (IOP-29) with the Center for Epidemiologic Studies Depression Scale (CES-D) in Lithuania.

TL;DR: A Lithuanian version of the IOP-29 was developed and tested its validity on a sample of 50 depressed patients and 50 healthy volunteers instructed to feign depression, and it discriminated almost perfectly between genuine and experimentally feigned major depression.
References
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Book

Applied Logistic Regression

TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI

Applied Logistic Regression.

TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
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Base rates of malingering and symptom exaggeration.

TL;DR: Base rates of probable malingering and symptom exaggeration are reported from a survey of the American Board of Clinical Neuropsychology membership, and diagnosis was supported by multiple sources of evidence, including severity and pattern.
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