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…

We report the development of the Assessment of Individual Motives-Questionnaire (AIM-Q), a new instrument based on an evolutionary psychology theory of human motivation. It provides multitrait-multimethod (MTMM) assessment of individual differences on 15 motive scales. A total heterogeneous sample of N = 1,251 participated in eight studies that…

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…

Equivalence in reliability and validity across 4-point and 6-point scales was assessed by fitting different measurement models through confirmatory factor analysis of a multitrait-multimethod covariance matrix. Responses to nine Likert-type items designed to measure perceived quantitative ability, self-perceived usefulness of quantitative…