Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies…

Beyond the traditional notions of intelligence and academic achievement, the successful development of noncognitive or "soft" skills (e.g., personality factors, motivation, creativity) among school-aged youth represents an important objective for any educational system. Such skills have been shown to be significantly predictive of…

This study used multiple methods to assess basic community needs and attributes of community atmosphere (cohesion, religious involvement, and recreational activities) in two psychometric studies. Part 1 revised self-report community assessment measures, developed multi-item scales for each construct, and tested reliabilities and factor structures…

This book presents a nontechnical, step-by-step process that shows how to evaluate any 360-degree-feedback instrument intended for management or leadership development. The 360-degree-feedback instruments collect information from different sources about a target manager's performance, and they offer multiple perspectives. The 16 steps in…