Measuring the 21st Century Science and Engineering Workforce Population Evolving Needs (2018) / Chapter Skim
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2 Background on the Surveys
2 Background on the Surveys
Pages 21-38
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From page 21... ...
. THE NCSES HUMAN RESOURCES STATISTICS PROGRAM The NCSES Human Resources Statistics Program provides data that help policy makers and researchers understand the continuum from pre college education through undergraduate enrollment, undergraduate d egrees, graduate enrollment, graduate degrees, and the workforce.
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From page 22... ...
NCSES provides workforce data based on the National Survey of College Graduates (NSCG) , the Survey of Doctorate Recipients (SDR)
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From page 23... ...
In 2013, it added a checkbox to confirm that reported data excluded practitioner-oriented graduate degrees. In 2014, the survey frame was updated to add units from 151 newly eligible institutions and exclude 2 private for-profit institutions because they were offering primarily practitioner-based graduate degrees.
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From page 24... ...
GSS data are also used by the academic institutions providing the data. NSF prepares the Academic Institutional Profiles by combining data from different sources, including the GSS, and addresses additional data requests from individual institutions and academic organizations.
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Professional societies, such as the Association of American Universities, the Council of Graduate Schools, the American Society for Engineering Education, and the National Postdoctoral Association, use GSS data to track trends in graduate enrollment by fields of study. GSS data are also used by researchers from academia and other sectors to understand trends in graduate training.
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From page 26... ...
modes are also available. The overall response rate is around 90 percent.
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From page 27... ...
Uses of the SED Data The SED is the only source of national data on the education and career plans of research doctorate recipients from U.S. academic institutions.
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From page 28... ...
The SDR focuses on individuals with research doctoral degrees in science, engineering, or selected health fields obtained from academic institutions in the United States. The ECDS sample includes individuals with doctoral degrees from abroad and individuals with a degree in a nonscience and engineering field, but unlike the SDR, focuses on recent graduates only.
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From page 29... ...
Doctorate Non-S&E > 10 years Degree Foreign BS/MS N/A Foreign 10 years or less ECDS Doctorate > 10 years FIGURE 2-1 Population coverage for the National Survey of College Graduates, Survey of Doctorate Recipients, and Early Career Doctorates Survey. SOURCE: Finamore (2016)
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From page 30... ...
: 2003 Since the 2010 implementation of the rotating panel design, recent changes to the NSCG have included the implementation of a young graduates BOX 2-3 Main Topics in the National Survey of College Graduates • Employment -- Labor force status -- Characteristics of job and employer -- Work activities -- Relationship of education and occupation • Education -- Complete degree history (type, year, field, institution) -- Community college enrollment -- Financial assistance for education -- Continuing education activities • Demographics -- Sex -- Race/ethnicity -- Marital status -- Citizenship status -- Disability status -- Number of children SOURCE: Finamore (2016)
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From page 31... ...
NSF regularly produces reports examining workforce issues using the NSCG data. The National Science Board uses NSCG data in the SEI r eports, and has also used the data in occasional additional reports focused on national workforce policies.
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From page 32... ...
Beginning with the 2015 survey cycle, those surveyed included U.S.trained research doctoral degree recipients living abroad. The SDR uses the SED as the sampling frame and provides crosssectional trend data on the employment and occupation of degree recipients since their degree was awarded.
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From page 33... ...
: 1995, 2001, 2003, 2008 • Postdoctoral experiences: 1995, 2006 A number of enhancements have been made to the SDR in recent years. First, like the NSCG, the SDR recently implemented adaptive design strategies to increase the efficiency of the data collection, reduce nonresponse bias, and maximize the representativeness of several key domains.
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From page 34... ...
Uses of the SDR Data The SDR provides the most comprehensive data on scientists and engineers with research doctoral degrees from U.S. institutions.
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From page 35... ...
Although the sampling frame is limited in terms of coverage, at least at this stage in the survey's development, the ECDS is intended to fill an important gap in understanding of the circumstances and characteristics of early career doctorates. The ECDS uses a two-stage sample design, which includes a stratified probability sample of institutions followed by a stratified probability sample of individuals.
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From page 36... ...
As with other surveys, nonresponse is a challenge, and the pilot study experienced particular difficulty with obtaining buy-in from institutions. Other challenges include the difficulty of obtaining a comprehensive sampling frame for employment sectors beyond the GSS academic institutions, FFRDCs, and the NIH IRP, and the lack of demographic data available for use in the stage 2 sampling design.
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From page 37... ...
Beyond being able to expand the data in the SEI reports and produce additional reports focused on this population, NCSES anticipates that the ECDS data will be useful to government agencies, such as NIH, and to organizations, such as CGS, the Association of American Universities, the American Asso iation of c Medical Colleges, the National Postdoctoral Association, and the American Association for the Advancement of Science. NCSES also expects to share the data with OECD.
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From page 38... ...
. Some of the relevant recommendations from that panel's report are that NCSES • consider options for exploiting the longitudinal panel structure of the SDR to create indicators of researcher mobility over time and track the initial employment and career paths of recent doctorate recipients in the first years after they receive their doctoral degrees; • draw on occupation data from the Longitudinal Employer- Household Dynamics Program and education data from the B accalaureate and Beyond Longitudinal Study to create indicators of labor mobility, particularly for industries with high growth and those in which the United States has a competitive advantage; • enhance data on STEM subpopulations, such as early career doc torate recipients, master's degree holders, and community college graduates; • explore the possibility of utilizing full-text resources of dissertation databases to create new indicators, for example, on the relatedness of different fields; and • consider using ACS data to produce indicators that track salaries in different occupations and for college graduates receiving different types of degrees.
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