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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1991
- Accession Number
- ADA244955
Entities
People
- Deborah L. Whetzel
- Norman G. Peterson
- Rodney L. Rosse
Organizations
- American Institutes for Research