Abstract
Automated Data Analysis (ADA) is a powerful, flexible analysis tool for systematically building performance determinants. ADA is designed to assist analysts in assessing the linkage from system processes to outcomes. It allows for or accounts for the varying conditions during performances and permits formation of complex analyses which extract relevant information from multiple variables while ignoring irrelevant data from the data base. In particular, ADA permits:
Focus on selected portions of the performance space, Characterization of the system processes and examination of the relationship between system processes and outcomes, Building analysis variables which can be made simple or as complex as necessary as knowledge of the importance of system processes to outcomes is obtained, and Use of powerful prestructured analysis tools.
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