Survey Overview (2018 Survey cycle)

Top of Page.
Purpose.

The Survey of Graduate Students and Postdoctorates in Science and Engineering (GSS) is an annual census of all academic institutions in the United States and its territories (Guam and Puerto Rico) granting research-based master's degrees or doctorates in science, engineering, or selected health (SEH) fields as of the fall of the survey year. Sponsored by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation and by the National Institutes of Health, the GSS collects counts of enrolled graduate students, postdoctoral researchers (postdocs), and other doctorate-holding nonfaculty researchers (NFRs) at these institutions by demographics and other characteristics, such as source and mechanism of financial support. Results are used to assess shifts in graduate enrollment, shifts in postdoc and NFR appointments, and trends in financial support.

Data collection authority.

The information collected by the GSS is solicited under the authority of the National Science Foundation Act of 1950, as amended, and the America COMPETES Reauthorization Act of 2010. The Office of Management and Budget control number is 3145-0062 and expires on 31 October 2020.

Major changes to recent survey cycle.

None.

Key Survey Information

top of page.
Frequency.

Annual.

Initial survey year.

1966.

Reference period.

Fall 2018.

Response unit.

Organizational units (e.g., academic departments, degree-granting programs, university-affiliated research centers, and health care facilities) in academic institutions.

Sample or census.

Census.

Population size.

A total of 19,592 units at 715 academic institutions.

Sample size.

Not applicable.

Key variables.
Key variables of interest are listed below.
  • Full-time master's and doctoral graduate students by demographic and financial support characteristics

  • Part-time master's and doctoral graduate students by demographic characteristics

  • Postdocs by demographic and financial support characteristics and by type and origin of doctoral degree

  • Doctorate-holding NFRs by sex and type of doctoral degree

  • Institutions by name, location, highest degree granted, and other institutional characteristics (e.g., historically black college or university, Carnegie Classification, public or private control)

  • Schools by name, Integrated Postsecondary Education Data System (IPEDS) unique identifier, type (e.g., graduate school and medical school), and other characteristics (e.g., Carnegie Classification)

  • Units by name, field of study, and highest degree granted

Survey Design

top of page.
Target population.

The survey target population is all academic institutions in the United States and its territories (Guam and Puerto Rico) that grant research-based master's or doctoral degrees in SEH fields. This population includes branch campuses, affiliated research centers and health facilities, and separately organized components, such as medical or dental schools, schools of nursing, and schools of public health.

Sampling frame.

The total universe in 2018 included 19,592 units at 715 academic institutions in the United States that granted research-based master's degrees or doctorates in SEH fields.

Sample design.

The GSS is a census in which eligible academic institutions are identified primarily through IPEDS.

Data Collection and Processing

top of page.
Data collection.

The survey data are collected through coordinators at eligible institutions. Coordinators are assigned by their institution and are responsible for identifying all GSS eligible units, collecting the requested data, and submitting the data to the survey contractor.

Coordinators are provided access to the GSS Web survey to report aggregate counts on enrolled master's and doctoral students, postdocs, and NFRs in each eligible unit, as of the fall term of academic year 2018. Reporting is done by the coordinator uploading a file with requested data to the GSS website, which automatically aggregates the data and populates the cells of the Web survey instrument for each eligible unit. Alternatively, coordinators may manually enter data into the Web survey. Hard copies of the survey worksheets and GSS-eligible code lists are also mailed to the institution coordinators as reference. The Web survey is the primary mode of data submission.

Based on the review of respondent data and explanatory comments provided by the respondents, follow-up telephone calls are made or e-mails are sent to clarify responses, if needed.

Data processing.

All data submitted by institution coordinators are reviewed to ensure that data fields are complete, and that data are internally consistent. Data that are substantially different from previously reported data are flagged for review by the survey contractor. If additional information or corrections are needed, institution coordinators are contacted by telephone or e-mail and are asked to correct and resubmit the survey data.

Estimation techniques.

The survey is a census of eligible units; therefore, weighting for sampling is not applicable. Imputation rather than weighting is used to adjust for unit nonresponse; imputation is also used for item nonresponse.

Survey Quality Measures

top of page.
Sampling error.

Not applicable because the GSS is a census.

Coverage error.

Due to the availability of comprehensive lists of the master's- and doctorate-granting institutions in the United States and these institutions' high levels of participation in the survey, coverage error of institutions is minimal. The universe of higher education institutions is regularly reviewed to identify new potentially eligible institutions.

Nonresponse error.

The GSS typically has high response rates. In 2018, 98.9% of units provided complete or partial data and the overall institutional response rate was 97.3%.

Measurement error.

Potential sources of measurement errors include double counting by units that offer joint programs, reporting of graduate students working toward practitioner degrees (particularly in health fields), difficulty in reporting of financial support data, difficulty in distinguishing NFRs from postdocs and other types of researchers employed in the units, and coordinators not including in their upload files all eligible Classification of Instructional Programs (CIP) codes that are offered at their institution. Measurement error is minimized by reviewing data to identify inconsistent or implausible values and contacting coordinators to correct data as needed.

Data Availability and Comparability

top of page.
Data availability.

NCSES has collected graduate enrollment and postdoc data for SEH fields since 1966. Not all data items were collected from all institutions in all survey years, and eligibility criteria for institutions and fields have undergone periodic revision. For these reasons, only the latest trend data should be used in historical analyses.

Data comparability.

The 2018 data are comparable to the 2017 data.

For comparisons to data prior to 2017, see the "Data Comparability" section of the 2017 technical notes. A set of bridge estimates was created to permit comparisons to previous years and for trend analyses. These estimates are labeled 2017old and are available at the broad-field level for all combined graduate student variables as well as postdoc variables. Due to a large increase in counts attributable to prior underreporting, 2017old estimates are not available for NFR data. The data reported as 2017new use the updated GSS taxonomy, are comparable to 2018 data, but are not comparable to prior year data. Please note that in tables that compare only 2017 and 2018 data, the 2017new data are reported as 2017.

NCSES encourages analysts intending to do trend analyses to contact the GSS project officer for additional information. For details on the historical changes, see the "Technical Information" section that accompanies the GSS data tables.

Data Products

top of page.
Publications.

NCSES releases the data from this survey annually through InfoBriefs and data tables in the Graduate Students and Postdoctorates in Science and Engineering series. The information from this survey is also included in Science and Engineering Indicators and Women, Minorities, and Persons with Disabilities in Science and Engineering.

NCSES includes selected data items from this survey for individual doctorate-granting institutions in the Academic Institution Profiles series.

Electronic access.

Data for the years 1972–2018 are available as public use files. The file organization makes each year's institution, school, and organizational unit data available in a single record.

Tabular data for recent years are available in NCSES's new interactive data tool; historical data will be added on a continuous basis until the full 1972–2018 series is complete. Users can create custom tables of the number of graduate students, number of postdocs, or number of NFRs.

Contact Information

top of page.

For additional information about this survey, or the methodology report, contact the GSS project officer.

Mike Yamaner
GSS Project Officer
Human Resources Statistics Program
National Center for Science and Engineering Statistics
National Science Foundation
2415 Eisenhower Avenue, Suite W14200
Alexandria, VA 22314

Phone: (703) 292-7815
E-mail: myamaner@nsf.gov