Abstract

Abstract Objective: The continuous sampling of performance validity throughout an evaluation is essential to ensure accurate and reliable data in neuropsychological assessment. Although embedded performance validity tests (PVTs) have less sensitivity than freestanding PVTs, the combination of multiple embedded PVTs can have similar classification accuracy to freestanding PVTs. This study examined a set of common embedded PVTs to assess those that best predict classification accuracy on the Test of Memory Malingering (TOMM). Method: The sample was 56% female (n=126), and racially diverse with 40% Black, 35% White, 17% Hispanic, 5% Asian, and 2% other ethnicities. Participants underwent a comprehensive neuropsychological evaluation that included the following embedded PVTs: Rey Auditory Verbal Learning Test (RAVLT) Forced Choice (FC), RAVLT Effort Score, Brief Visual Memory Test-Revised Recognition Discrimination, Digit Span Age Corrected Scaled Score (DS ACSS), Reliable Digit Span, Stroop Color and Word Test Word Reading T-Score, Letter Fluency T-Score, and Trail Making Test Part A T-Score. Results: A forward stepwise logistic regression was performed to predict TOMM Trial 1 pass/fail using the embedded PVTs as predictors. The model was achieved in two steps (p95% accuracy in correctly classifying TOMM T1 pass group. Conclusions: Results indicate that RAVLT FC and DS ACSS together reliably predict TOMM pass/fail group. When time constraints limit use of the TOMM, RAVLT FC and DSACC may be reliable predictors of validity classification.

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