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National Academy of Sciences - National Research Council, Washington, DC. Assembly of Behavioral and Social Sciences. – 1974
The Panel on Manpower Training Evaluation has recommended that Social Security earnings data be more widely used in evaluating manpower programs, especially those that tend to serve prime-age males, such as the MDTA (Manpower Development Training Act) or NAB-JOBS (National Association of Businessmen-Job Opportunities in the Business Sector)…
Descriptors: Data Analysis, Data Collection, Evaluation Methods, Information Needs
Altenderfer, Marion – 1976
Practical observations are offered in this report on health manpower information data and analyses to provide assistance to health planners in carrying out manpower activities more effectively. Problems and considerations discussed are as follows: Timeliness and accuracy of data, comparability of definitions and coverage, confidentiality problems,…
Descriptors: Administrator Role, Allied Health Occupations Education, Data Analysis, Data Collection
Drewes, D. W.; Katz, Douglas S. – 1975
The document studies the availability and use of manpower data in vocational education and delineates the underlying factors influencing data usage. Information was collected from 10 States selected from 10 Federal regions. Descriptions of the findings are presented for each agency according to the following categories: (1) State vocational…
Descriptors: Agency Cooperation, Data Collection, Educational Needs, Educational Programs

Bielby, William T.; And Others – 1978
A review and evaluation were conducted of social science research that has been based upon the National Longitudinal Surveys (NLS) of Labor Market Experience. First, a comprehensive survey was undertaken of the labor market research that has used NLS data: (1) labor supply and the factors of female and male labor, child care and welfare, and…
Descriptors: Data Collection, Human Capital, Job Search Methods, Labor Demands
Huws, Ursula; Jagger, Nick; O'Regan, Siobhan – 1999
Inexpensive telecommunications, the spread of computing, and globalization are creating major change in the location of work within and between countries. Because no tools have yet been developed to investigate the new spatial employment patterns, a cluster analysis involving more than 50 variables and 206 countries was performed to group…
Descriptors: Adult Education, Cluster Analysis, Data Analysis, Data Collection