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Dever, G. E. Alan; And Others – New Directions for Program Evaluation, 1981
In order for health program evaluation to keep up with the evolution of disease patterns and epidemiology, a systems approach is proposed. Recommendations are made for the essential element in such an approach, namely, an integrated, comprehensive data base. (Author/AL)
Descriptors: Databases, Diseases, Evaluation Methods, Health Programs
Peer reviewed Peer reviewed
Fortune, Jim C.; McBee, Janice K. – New Directions for Program Evaluation, 1984
Twenty-nine steps necessary for data file preparation for secondary analysis are discussed. Data base characteristics and planned use vary the complexity of the preparation. Required techniques (file verification, sample verification, file merger, data aggregation, file modification, and variable controls) and seven associated pitfalls are defined…
Descriptors: Computer Storage Devices, Data Analysis, Data Collection, Data Processing
Peer reviewed Peer reviewed
Andrew, Loyd D. – New Directions for Program Evaluation, 1984
A detailed examination of the Higher Education General Information Survey (HEGIS) data base--its content, development, and past and potential uses for researchers--is presented. Because knowledge of the data elements is crucial for successful secondary analysis, procedures for collecting needed information on the data in HEGIS are suggested. (BS)
Descriptors: Data Analysis, Data Collection, Databases, Educational Research
Peer reviewed Peer reviewed
Myers, David E.; Rockwell, Richard C. – New Directions for Program Evaluation, 1984
Large-scale databases are an underutilized source of data for secondary analysis by researchers. Major government and private databases available to the public, the types of agencies developing them, and how to obtain and utilize them are described. A catalogue of 20 databases, their characteristics and sources is included. (BS)
Descriptors: Census Figures, Computers, Data Collection, Databases
Peer reviewed Peer reviewed
Bowering, David J. – New Directions for Program Evaluation, 1984
This case study describes how path analysis and causal modeling were used to assess the impact of federal research and development spending on Ph.D production in science and engineering at leading research universities. The nature of existing data, integrated into a single data base from seven surveys, influenced the research methodology. (BS)
Descriptors: College Science, Databases, Doctoral Degrees, Engineering Education