A-228 A Story Told in Four Parts: Embedded Validity Indicators’ Effectiveness in Predicting Medical Symptom Validity Test Validity Classification

Abstract Objective: Prior cross-validation studies have demonstrated the utility of embedded Performance Validity Tests (PVT) as reliable indicators of performance validity, though studies of the incremental predictive power from potential combinations of embedded PVTs remain sparse. The goal of the...

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Veröffentlicht in:Archives of clinical neuropsychology 2022-08, Vol.37 (6), p.1384-1384
Hauptverfasser: Tse, Phoebe Ka Yin, Basurto, Karen S, Wisinger, Amanda M, Obolsky, Maximillian A, Chang, Fini, Osview, Gabriel P, Resch, Zachary J, Soble, Jason R, Jennette, Kyle J
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container_end_page 1384
container_issue 6
container_start_page 1384
container_title Archives of clinical neuropsychology
container_volume 37
creator Tse, Phoebe Ka Yin
Basurto, Karen S
Wisinger, Amanda M
Obolsky, Maximillian A
Chang, Fini
Osview, Gabriel P
Resch, Zachary J
Soble, Jason R
Jennette, Kyle J
description Abstract Objective: Prior cross-validation studies have demonstrated the utility of embedded Performance Validity Tests (PVT) as reliable indicators of performance validity, though studies of the incremental predictive power from potential combinations of embedded PVTs remain sparse. The goal of the study was to compare the relative utility of eight embedded PVTs to predict pass/fail on the Medical Symptom Validity Test (MSVT). Methods: The study comprised 225 mixed neuropsychiatric patients referred for outpatient neuropsychological evaluation. The sample was 56% female and racially diverse (40% Black, 35% White, 17% Hispanic, 5% Asian, and 2% other ethnicities). The patients were administered the following eight embedded PVTs: Rey Auditory Verbal Learning Test Forced Choice (RAVLT-FC), RAVLT Effort Score, Digit Span Age Corrected Scaled Score (DS-ACSS), Stroop Color and Word Test Word Reading T-Score, Brief Visual Memory Test-Revised Recognition Discrimination (BVMT-RD), Reliable Digit Span, Letter Fluency T-Score, and Trail Making Test Part A T-Score. The patients were classified into valid/invalid groups based on standard MSVT cut scores. Results: A forward entry logistic regression model was attained in three steps (p
doi_str_mv 10.1093/arclin/acac060.228
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The goal of the study was to compare the relative utility of eight embedded PVTs to predict pass/fail on the Medical Symptom Validity Test (MSVT). Methods: The study comprised 225 mixed neuropsychiatric patients referred for outpatient neuropsychological evaluation. The sample was 56% female and racially diverse (40% Black, 35% White, 17% Hispanic, 5% Asian, and 2% other ethnicities). The patients were administered the following eight embedded PVTs: Rey Auditory Verbal Learning Test Forced Choice (RAVLT-FC), RAVLT Effort Score, Digit Span Age Corrected Scaled Score (DS-ACSS), Stroop Color and Word Test Word Reading T-Score, Brief Visual Memory Test-Revised Recognition Discrimination (BVMT-RD), Reliable Digit Span, Letter Fluency T-Score, and Trail Making Test Part A T-Score. The patients were classified into valid/invalid groups based on standard MSVT cut scores. Results: A forward entry logistic regression model was attained in three steps (p&lt;.05); Step 1: RAVLT-FC (Classification Accuracy=83.2%; Nagelkerke R2 =.27), Step 2: RAVLT-FC + DS-ACSS (Classification Accuracy=84.2%; Nagelkerke R2 =.36); Step 3: RAVLT-FC + DS-ACSS + Stroop Word-T (Classification Accuracy=85.1%; Nagelkerke R2 =.39). Conclusion: The RAVLT-FC + DS-ACSS + Stroop Word-T combination provides robust predictive power. The study provided a novel approach to selecting embedded PVTs that best stand in place of the MSVT when time constraints limit the use of freestanding PVTs.</description><identifier>ISSN: 1873-5843</identifier><identifier>EISSN: 1873-5843</identifier><identifier>DOI: 10.1093/arclin/acac060.228</identifier><language>eng</language><publisher>Oxford University Press</publisher><ispartof>Archives of clinical neuropsychology, 2022-08, Vol.37 (6), p.1384-1384</ispartof><rights>The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Tse, Phoebe Ka Yin</creatorcontrib><creatorcontrib>Basurto, Karen S</creatorcontrib><creatorcontrib>Wisinger, Amanda M</creatorcontrib><creatorcontrib>Obolsky, Maximillian A</creatorcontrib><creatorcontrib>Chang, Fini</creatorcontrib><creatorcontrib>Osview, Gabriel P</creatorcontrib><creatorcontrib>Resch, Zachary J</creatorcontrib><creatorcontrib>Soble, Jason R</creatorcontrib><creatorcontrib>Jennette, Kyle J</creatorcontrib><title>A-228 A Story Told in Four Parts: Embedded Validity Indicators’ Effectiveness in Predicting Medical Symptom Validity Test Validity Classification</title><title>Archives of clinical neuropsychology</title><description>Abstract Objective: Prior cross-validation studies have demonstrated the utility of embedded Performance Validity Tests (PVT) as reliable indicators of performance validity, though studies of the incremental predictive power from potential combinations of embedded PVTs remain sparse. The goal of the study was to compare the relative utility of eight embedded PVTs to predict pass/fail on the Medical Symptom Validity Test (MSVT). Methods: The study comprised 225 mixed neuropsychiatric patients referred for outpatient neuropsychological evaluation. The sample was 56% female and racially diverse (40% Black, 35% White, 17% Hispanic, 5% Asian, and 2% other ethnicities). The patients were administered the following eight embedded PVTs: Rey Auditory Verbal Learning Test Forced Choice (RAVLT-FC), RAVLT Effort Score, Digit Span Age Corrected Scaled Score (DS-ACSS), Stroop Color and Word Test Word Reading T-Score, Brief Visual Memory Test-Revised Recognition Discrimination (BVMT-RD), Reliable Digit Span, Letter Fluency T-Score, and Trail Making Test Part A T-Score. The patients were classified into valid/invalid groups based on standard MSVT cut scores. Results: A forward entry logistic regression model was attained in three steps (p&lt;.05); Step 1: RAVLT-FC (Classification Accuracy=83.2%; Nagelkerke R2 =.27), Step 2: RAVLT-FC + DS-ACSS (Classification Accuracy=84.2%; Nagelkerke R2 =.36); Step 3: RAVLT-FC + DS-ACSS + Stroop Word-T (Classification Accuracy=85.1%; Nagelkerke R2 =.39). Conclusion: The RAVLT-FC + DS-ACSS + Stroop Word-T combination provides robust predictive power. 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Results: A forward entry logistic regression model was attained in three steps (p&lt;.05); Step 1: RAVLT-FC (Classification Accuracy=83.2%; Nagelkerke R2 =.27), Step 2: RAVLT-FC + DS-ACSS (Classification Accuracy=84.2%; Nagelkerke R2 =.36); Step 3: RAVLT-FC + DS-ACSS + Stroop Word-T (Classification Accuracy=85.1%; Nagelkerke R2 =.39). Conclusion: The RAVLT-FC + DS-ACSS + Stroop Word-T combination provides robust predictive power. The study provided a novel approach to selecting embedded PVTs that best stand in place of the MSVT when time constraints limit the use of freestanding PVTs.</abstract><pub>Oxford University Press</pub><doi>10.1093/arclin/acac060.228</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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title A-228 A Story Told in Four Parts: Embedded Validity Indicators’ Effectiveness in Predicting Medical Symptom Validity Test Validity Classification
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