Extending Synthetic Validation Methodology to Assess Occupational Similarities Within Job Sets and to Select Classification Tests

Abstract : The primary objective of this project was to extend and evaluate the synthetic validation methodology for developing job sets and identifying appropriate test for classifying individuals into job sets and/or within a set. This effort supports the research and development work for the Job Sets for Efficiency in Recruiting and Training (JSERT) concept. The objective of the project was accomplished in two ways: (1) by using a paper-and-pencil job analysis questionnaire and developing a PC-based technology to group similar jobs or to quantify the similarity/dissimilarity of already grouped jobs, and (2) by modifying existing synthetic validation methods to identify the most reasonable test or tests for classification/placement decisions.