Cognitive, Sleep-Arousal, Physical, and Affective Domain Scores on the Post-Concussion Symptom Scale: Added Utility in Detecting Symptom Elevations among Student-Athletes with a Remote History of Concussion.

Objective: The evaluation of self-reported symptoms is a standard component of concussion assessment and management. Clinicians typically evaluate a total symptom severity score rather than scores corresponding to specific symptom domains (i.e.

The Post-Concussion Symptom Scale: Normative Data for Adolescent Student-Athletes Stratified by Gender and Preexisting Conditions.

Background: The Post-Concussion Symptom Scale (PCSS) is a self-report questionnaire measuring symptoms that commonly occur after a concussion; however, these symptoms are nonspecific and can be related to co-occurring orthopaedic injuries (eg, cervical strain) or patient characteristics and preexisting conditions, even in the absence of a recent injury. As such, clinicians may have difficulty determining whether symptom elevations are attributable to a recent concussion as opposed to a confounding injury or a preexisting condition, which may be especially difficult when preinjury baseline symptom data are unavailable.

Purpose: This study aimed to further validate the 4-factor model of the PCSS (ie, cognitive, sleep-arousal, physical, and affective symptoms) with adolescent student-athletes and provide normative reference data for each factor and the total score, stratified by gender and preexisting health conditions.

Early bird fails the PVT? The effects of timing artifacts on performance validity tests.

This study was designed to investigate the effects of timing on the likelihood of failing the Recognition Memory Test-Words (RMT) and Word Choice Test (WCT). The RMT and WCT were administered in counterbalanced order either at the beginning (Time 1) or at the end (Time 2) of a test battery to a mixed clinical sample of 196 patients (M = 44.5 years, 55.

Prevalence of Invalid Performance on Baseline Testing for Sport-Related Concussion by Age and Validity Indicator.

Importance: Estimated base rates of invalid performance on baseline testing (base rates of failure) for the management of sport-related concussion range from 6.1% to 40.0%, depending on the validity indicator used.

The Stroop test as a measure of performance validity in adults clinically referred for neuropsychological assessment.

This study was designed to develop performance validity indicators embedded within the Delis-Kaplan Executive Function Systems (D-KEFS) version of the Stroop task. Archival data from a mixed clinical sample of 132 patients (50% male; M = 43.4; M = 14.

Utility of critical items within the Recognition Memory Test and Word Choice Test.

This study was designed to examine the clinical utility of critical items within the Recognition Memory Test (RMT) and the Word Choice Test (WCT). Archival data were collected from a mixed clinical sample of 202 patients clinically referred for neuropsychological testing (54.5% male; mean age = 45.

The power of timing: Adding a time-to-completion cutoff to the Word Choice Test and Recognition Memory Test improves classification accuracy.

Introduction: The Recognition Memory Test (RMT) and Word Choice Test (WCT) are structurally similar, but psychometrically different. Previous research demonstrated that adding a time-to-completion cutoff improved the classification accuracy of the RMT. However, the contribution of WCT time-cutoffs to improve the detection of invalid responding has not been investigated.

Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) processing speed scores as measures of noncredible responding: The third generation of embedded performance validity indicators.

Research suggests that select processing speed measures can also serve as embedded validity indicators (EVIs). The present study examined the diagnostic utility of Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) subtests as EVIs in a mixed clinical sample of 205 patients medically referred for neuropsychological assessment (53.3% female, mean age = 45.