Research for Data Bases

A primary tasking for this study was to build a permanent database integrating Navy recruiting, training, and manpower/personnel data which would follow recruits from street to fleet and use variables designed to capture the kinds of information needed by decision-makers. This paper summarizes our analyses and briefly describes the database. It begins with the different analyses we did of the bootcamp period, goes on to a discussion of rating attainment, and finishes with our analyses of trained sailors in the fleet. Findings and recommendations include coding separation reasons more consistently, revising the CNET monthly bootcamp attrition report, more careful screening of sailors with nonacademic course failures who are sent to the fleet, and supporting initiatives to provide a second chance at school for sailors who fail an A-school course.

As part of the Tricare- Tidewater evaluation, CNA fielded a military beneficiary health care survey in the fall of 1992 to collect information on access, satisfaction, health status, and utilization. To supplement these data, and support the Tricare evaluation, we developed an administrative data set using claims data from the Civilian Health and Medical Program for the Uniformed Services (CHAMPUS), Biometrics records, and Medical Expense and Performance Reporting System (MEPRS) data. This administrative data set provides not only cost information but also detailed utilization records, including information about specific diagnoses and treatments. While working with the survey data, we observed internal inconsistencies in how people responded to the utilization section of the survey. These inconsistencies raised concerns about the veracity of the self-reported use measures. Given these concerns and the unique opportunity of having both survey and administrative measures of use for the same population, we thought it was appropriate to attempt to validate the self-reported utilization data against administrative records. In this paper, we compare the self-reported utilization data to the corresponding administrative utilization data, created from the CHAMPUS Quick Response Data File and Biometrics records, for a subset of our survey respondents. We look at incidences of overreporting and underreporting use in the survey data, and we attempt to explain these occurrences and the impact of this misreporting on aggre

The Claritas data set was created in the summer of 1985 and contains all the zip codes within 100 miles of 426 Reserve centers. This paper describes the data set and contents, and explains specific uses of the file.

This research memorandum is intended to serve as a guide to using data to analyze Navy civilian manpower. It describes the construction and analysis of data sets used to compare the supply and demand for civilian employees of the Navy in peacetime and in mobilization. It then provides data sets used to alter the primary data tapes employed and codebooks for the tapes and their revisions. It also provides definitions of terms used in the study.