Brent Medoff's research while affiliated with Geisinger Commonwealth School of Medicine and other places

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Publications (3)

Fig. 1. SCL-90-R profiles associated with three levels of FCR...
Fig. 2. SCL-90-R profiles associated with the three levels of EI-5 REC...
Table 4 . Group-Level Performance on the Tests Administered
Table 7 . SCL-90-R Scores as a Function of FCR Performance
Table 8 . SCL-90-R and BDI-II Scores as a Function of Passing or...
A Single Error Is One Too Many: The Forced Choice Recognition Trial of the CVLT-II as a Measure of Performance Validity in Adults with TBI
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  • Dec 2017
Objective The Forced Choice Recognition (FCR) trial of the California Verbal Learning Test—Second Edition (CVLT-II) was designed to serve as a performance validity test (PVT). The present study was designed to compare the classification accuracy of a more liberal alternative (≤15) to the de facto FCR cutoff (≤14). Method The classification accurac...
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Table 2 Tests administered 
Table 6 PPP and NPP of selected RMT and WCT cutoffs at conventional...
Comparing the Recognition Memory Test and the Word Choice Test in a Mixed Clinical Sample: Are They Equivalent?
Article
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  • Sep 2014
The Recognition Memory Test (RMT) was compared to the Word Choice Test (WCT) within the same fixed neuropsychological battery administered to a mixed clinical sample of 237 adults to empirically evaluate the psychometric equivalence of these two instruments. On average, there was a 3-point difference in raw scores between the two instruments (M RMT...
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Aggregating Validity Indicators Embedded in Conners' CPT-II Outperforms Individual Cutoffs at Separating Valid from Invalid Performance in Adults with Traumatic Brain Injury
Article
  • Jun 2014
Continuous performance tests (CPT) provide a useful paradigm to assess vigilance and sustained attention. However, few established methods exist to assess the validity of a given response set. The present study examined embedded validity indicators (EVIs) previously found effective at dissociating valid from invalid performance in relation to well-...
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Citations

... This is not standard practice, as typically studies will utilize another robust PVT as a means of calculating sensitivity and specificity values for another PVT such as the TOMM. While an embedded PVT is not as robust as a stand-alone measure, the CVLT-II is still a reasonable embedded test to use when calculating sensitivity and specificity, as its features are consistent with stand-alone PVTs (Erdodi et al., 2018). ...
Reference: An alternative approach to TOMM cutoff scores using a large sample of military personnel
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... To provide a multivariate criterion measure, these three PVTs were combined into a single indicator (PVT-3 a ), and invalid performance was operationalized as failing at least two of the three PVTs. Failure on the TOMM-1 was defined as ≤43 (Denning, 2012;Erdodi, 2022;Jones, 2013;Kulas et al., 2014;Rai & Erdodi, 2021;Schroeder et al., 2013), whereas failure on the WCT was defined as ≤45 Davis, 2014;Erdodi, 2021;Erdodi et al., 2014;M. J. Holcomb et al., 2022;Tyson et al., 2022). ...
Reference: M is For Performance Validity: The IOP-M Provides a Cost-Effective Measure of the Credibility of Memory Deficits during Neuropsychological Evaluations M is For Performance Validity: The IOP-M Provides a Cost-Effective Measure of the Credibility of Memory Deficits during Neuropsychological Evaluations
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... The second diagnostic tools are computer-based tests (Ballard, 1996;Forbes, 1998;Nichols and Waschbusch, 2004), the most common of which is Conners' Continuous Performance Test (CPT;Conners, 1994). The CPT has a second edition (CPT-2; Conners, 2000) and a third edition (CPT-3; Conners, 2014), and previous studies have demonstrated the validity of both editions (Erdodi et al., 2014;Ord et al., 2020). Some cases also required the evaluation of inconsistent assessment results because the observations of teachers and parents tend to contradict each other, with an atypical cross-informant reliability of 0.32-0.59 ...
Reference: Distinguishing different types of attention deficit hyperactivity disorder in children using artificial neural network with clinical intelligent test
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