Detecting feigned symptoms of depression, anxiety, and ADHD, in college students with the structured inventory of malingered symptomatology.

OBJECTIVE: Research consistently shows how easily students can feign symptoms of ADHD on self-report checklists to determine eligibility for curricular and standardized testing accommodations. However, it is unclear how easily students can feign psychological symptoms to accesses academic accommodations, making the assessment of symptom validity important in both populations. METHOD: Using a between-subjects design, 75 college students were randomly assigned to one of three groups: (1) coached feigning of ADHD, (2) coached feigning of depression and anxiety (DA), and (3) honest responding (HR). Participants completed the Depression, Anxiety, and Stress Scale (DASS-21) and the Structured Inventory of Malingered Symptomatology (SIMS). RESULTS: The SIMS showed 100% specificity, but low sensitivity (36-52%) for detecting feigned symptoms with different cutoffs. Differences on SIMS subtests were apparent by group with elevated scores for the DA group on the Affective Disorders subscale and elevation for the ADHD group on the Low Intelligence and Amnestic subscales. Participants identified as feigning by the SIMS typically reported more severe symptoms than participants not identified on the DASS-21. CONCLUSIONS: The SIMS equally classified the feigned ADHD and DA participants for both cutoff scores utilized. Potential reasons for low sensitivity rates are discussed and future research recommendations are made.

Detecting noncredible performance with the neuropsychological assessment battery, screening module: A simulation study.

OBJECTIVE: While the Neuropsychological Assessment Battery, Screening Module (S-NAB) is a commonly used cognitive screening measure, no composite embedded performance validity test (PVT) formula has yet been described within it. This study sought to empirically derive PVT formulas within the S-NAB using an analog simulation paradigm. METHOD: Seventy-two university students (M age = 18.92) were randomly assigned to either an Asymptomatic (AS) or simulated mild traumatic brain injury (S-mTBI) group and were administered a neuropsychological test battery that included the S-NAB and standalone and embedded PVTs. The AS group was instructed to perform optimally, and the S-mTBI group received symptom and test coaching to help simulate mTBI-related impairment. Both groups received warnings regarding the presence of PVTs throughout the test battery. RESULTS: Groups showed significant differences (all ps < .001) on all S-NAB domain scores and PVTs. In the S-NAB, the Attention (S-ATT) and Executive Function (S-EXE) domains showed the largest effect sizes (Cohen's ds = 2.02 and 1.79, respectively). Seven raw scores from S-ATT and S-EXE subtests were entered as predictor variables in a direct logistic regression (LR). The model accurately classified 90.3% of cases. Two PVT formulas were described: (1) an exponentiated equation from LR results and (2) an arithmetic formula using four individually meaningful variables. Both formulas demonstrated outstanding discriminability between groups (AUCs = .96-.97) and yielded good classification statistics compared to other PVTs. CONCLUSIONS: This study is the first to describe composite, embedded PVT formulas within the S-NAB. Implications, limitations, and appropriate future directions of inquiry are discussed.