The aim of the present study was to establish normative data for the Automated Neuropsychological Assessment Metrics (v4) Traumatic Brain Injury (ANAM4 TBI) battery in a military context. ANAM4 data from over 107,500 active duty service members ranging from 17 to 65 years of age were included in this study. The influence of the demographic variables of age and gender were also examined. These norms, stratified by age and gender, represent a more comprehensive set of norms than previously available and are provided as a representative set of norms for clinical practice. Additionally, base rates of below average performance in a normal population are provided to help inform clinical decision making.
Research was conducted to determine how well subjects could distinguish between surfaces with different coefficient of friction (COF) values and to evaluate how well subjective ratings of slipperiness correlated with the actual COF values. Thirty-three ironworkers experienced in working and walking on steel surfaces and 23 university students inexperienced with these tasks participated in the study. Subjective slipperiness ratings for a variety of climbing and walking conditions were obtained from the subjects. It was found that subjects could identify differences in the slipperiness of four types of steel coatings tested in the study. There was a high correlation between the subjective ratings and the measured COF values. Subjects did not slip at a COF of 0.41 but did lose footing at a COF of 0.20.
The purpose of this article is to outline critical elements in the development and quality assurance (QA) assessment of a computer-based assessment battery (CAB). The first section of the article provides an overview of the life cycle of a representative CAB, typical evolutionary stages, and many of the essential considerations for designing and developing a CAB. The second section of the article presents a model for conducting a quality assurance assessment of a CAB. A general narrative of several steps in the QA process is supported by a table of recommended QA assessment elements. Although this QA process model may not be definitive for all cases, it provides a general framework within which a systematic assessment of any CAB can be conducted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.