Prevalence of low test scores in a pediatric psychiatric inpatient population: Applying multivariate base rate analyses

Recent Advances in Neuropsychological Test Interpretation for Clinical Practice

Much attention in the field of clinical neuropsychology has focused on adapting to the modern healthcare environment by advancing telehealth and promoting technological innovation in assessment. Perhaps as important (but less discussed) are advances in the development and interpretation of normative neuropsychological test data. These techniques can yield improvement in diagnostic decision-making and treatment planning with little additional cost. Brooks and colleagues (Can Psychol 50: 196-209, 2009) eloquently summarized best practices in normative data creation and interpretation, providing a practical overview of norm development, measurement error, the base rates of low scores, and methods for assessing change. Since the publication of this seminal work, there have been several important advances in research on development and interpretation of normative neuropsychological test data, which may be less familiar to the practicing clinician. Specifically, we provide a review of the literature on regression-based normed scores, item response theory, multivariate base rates, summary/factor scores, cognitive intraindividual variability, and measuring change over time. For each topic, we include (1) an overview of the method, (2) a rapid review of the recent literature, (3) a relevant case example, and (4) a discussion of limitations and controversies. Our goal was to provide a primer for use of normative neuropsychological test data in neuropsychological practice.

Multivariate Base Rates and Concussion Detection: A Comparative Study

Recent research has yielded multivariate base rates (MBRs) of low scores in healthy populations using a widely adopted concussion screening measure, Immediate Postconcussion and Cognitive Testing (ImPACT). However, the extent to which individuals with concussion obtain reliable changes at divergent frequencies relative to healthy individuals is largely unknown. The present study examined whether MBRs of reliable change accurately discriminated between those with and without concussion. This archival review consisted of 129 healthy individuals and 81 individuals with concussion. MBRs of reliable change scores were examined at varying cutoffs and frequencies between those with and without concussion. Composites showed small to medium effect sizes in differentiating between those with and without concussion. MBRs of reliable change scores on ImPACT provided limited discriminative utility in isolation. Computations of posttest probabilities using Bayes' Theorem yielded evidence for incremental gains when utilizing MBRs of reliable change under certain constraints.