PUBLIC USE 2019 NATIONAL SURVEY OF COLLEGE GRADUATES DATA FILES This download file contains data and related documentation for the public use 2019 National Survey of College Graduates (NSCG) data files. The data included in this download file is taken from the January 29, 2021 version of the NSCG data maintained at NSF. DESCRIPTION OF FILES -------------------- Data and Programs ----------------- The microdata are provided in various formats to facilitate their use with many software packages. The principal data format that is supported by NSF is SAS. Technical support by NSF is limited to the data files and the SAS programs listed here. NSF does not provide support to users of SPSS or other packages, as SPSS and these other packages are not available at the agency. EPCG19.DAT - 2019 NSCG data in ASCII format epcg19.sas7bdat - 2019 NSCG data in SAS for Windows format Fpcg19.sas - a text file containing SAS FORMAT assignment statements Lpcg19.sas - a text file containing SAS LABEL assignment statements Ppcg19.sas - a text file containing SAS PROC FORMAT statements Ldpcg19.sps - a text file containing SPSS syntax for loading EPCG19.DAT (ASCII data) into SPSS NOTE: Technical support for SPSS users is not provided by NSF. The validity of this file has not been verified by NSF, as SPSS is not available at the agency. LAYOUTPCG19.TXT - Input Layout for EPCG19.DAT Documentation and Related Files ------------------------------- NSCG_SD_2019.pdf - Survey description 2019NewCohortAnnotated21.pdf - 2019 NSCG survey instrument for new sample members 2019OldCohortAnnotated22.pdf - 2019 NSCG survey instrument for returning sample members who responded last cycle 2019NRCohortAnnotated23.pdf - 2019 NSCG survey instrument for returning sample members who did not respond last cycle 2019NSCGFinalRecodeDocumentation.pdf - 2019 NSCG recode documentation Ppcg19.html - Summary variable codebook in html, 508-compliant format. Ppcg19.pdf - Summary variable codebook in Adobe PDF format. Dpcg19.xlsx - Data Dictionary Source/SAS name crosswalk file (EXCEL spreadsheet format) README.TXT - this read me file ----------------------------------------------------------------------------------- If you have any problems opening, accessing or loading these files, please contact: Lynn Milan Project Officer Human Resources Statistics Program National Center for Science and Engineering Statistics National Science Foundation 2415 Eisenhower Avenue, Suite W14200 Alexandria, Virginia 22314 703-292-2275 lmilan@nsf.gov Jan-29-2021 09:53:33