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Building a Joint-Service Classification Research Roadmap: Methodological Issuesin Selection and Classification

机译:建立联合服务分类研究路线图:选择和分类中的方法问题

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The Armstrong Laboratory and the Army Research Institute cosponsored a project todevelop a Joint-Service classification research agenda, or Roadmap, for reducing redundancy of research across Services and improving inter-Service research planning. The Joint-Service Classification Research Roadmap is a research agenda designed to enhance the Services' selection and classification research programs. It is composed of numerous research questions that are organized into seven broad activities. Ordered roughly from highest to lowest priority, they are: Building a Joint-Service policy and forecasting data base, capturing criterion policy, modeling classification decisions, developing new job analysis methodologies, investigating fairness issues, conducting criterion measurement research, and conducting predictor-related research. The first two activities, 'Building a Joint-Service policy and forecasting data base' and 'Capturing criterion policy,' will facilitate research planning. 'Modeling classification decisions and 'Developing new job analysis methodologies are activities wherein long-term research is needed. Classification is important because (a) changes in the ASVAB will result in revised composites, (b) recent innovations make classification research timely, and (c) downsizing makes classification more important. Job analysis research is needed to (a) facilitate innovations in predictor and criterion development and (b) facilitate management of selection and classification for future jobs.

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