report · 1991
Officer Career Development: Longitudinal Sample--Fiscal Year 1982
Regina L. Burch, Reginald A. Bruce, Gerald L. Russell
Cited by 0Abstract and details only
Abstract
Abstract : An extensive research project was initiated in 1981 which investigated the career development and decision-making processes of naval officers. An officer career questionnaire was sent to a sub-sample (N = 20,999) of the larger population (N = 23,769). These questionnaires were administered during 1982 and then readministered during 1986-1987. As a result of this study, two databases were constructed: (1) a cross-sectional database that includes data for all individuals who completed a survey in FY86-FY87 (N = 12,319), and (2) a longitudinal database that includes data for all individuals who completed a questionnaire in FY82 (N = 9,109) and in FY86-FY87 (N = 5,633). The documentation for the longitudinal database is provided in two separate volumes. The present documentation is the first of this two-part series and provides the data layout for all items included in the FY82 survey.
Cite this paper
Burch, R. L., Bruce, R. A., & Russell, G. L. (1991). Officer Career Development: Longitudinal Sample--Fiscal Year 1982. https://doi.org/10.21236/ada242922
Burch, Regina L., et al. “Officer Career Development: Longitudinal Sample--Fiscal Year 1982.” 1991, https://doi.org/10.21236/ada242922.
Burch, Regina L., Reginald A. Bruce, and Gerald L. Russell. 1991. “Officer Career Development: Longitudinal Sample--Fiscal Year 1982.” https://doi.org/10.21236/ada242922.
Burch, R.L., Bruce, R.A. and Russell, G.L. (1991) ‘Officer Career Development: Longitudinal Sample--Fiscal Year 1982’. Available at: https://doi.org/10.21236/ada242922.
@article{burch1991officer,
title = {{Officer Career Development: Longitudinal Sample--Fiscal Year 1982}},
author = {Burch, Regina L. and Bruce, Reginald A. and Russell, Gerald L.},
year = {1991},
doi = {10.21236/ada242922}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.