SDR
PUBLICATIONS
GENERAL SDR DATA USES
According to the National Science Foundation (NSF), the SDR is the only comprehensive source of data on the careers of science, engineering, and health doctoral degree holders trained in the U.S. Completing the survey is an easy, convenient way to give back to your educational community and the public.
The SDR Data help government, business, academic, and industrial leaders to forecast labor demand and supply in many fields-your participation increases the accuracy of these data.
Educational institutions use data from the SDR to establish and modify scientific or technical curricula-your participation helps these institutions make better decisions.
Many U.S. government agencies use the SDR to get an overall sense of scientific, engineering, and health resources, and then formulate science and engineering policies in view of these resources-your participation increases the accuracy of the data on which these policy decisions are made.
Private organizations use the SDR data to understand employment and salary trends and to develop recruitment strategies and benefits packages that are effective-your participation helps industry leaders better understand the scientific and technical workplace.
College students use information from the SDR to help make decisions about graduate study and careers-your participation makes the data more useful to these students.
SELECT SDR PUBLICATIONS
CONGRESSIONALLY-MANDATED NSF REPORTS
Diversity and STEM: Women, Minorities, and Persons with Disabilities (2023)
Science & Engineering Indicators (2022)
OTHER NSF PUBLICATIONS
Science and Engineering State Profiles (annual report; updated October 2022)
All NCSES publications can be accessed on the NCSES website at http://www.nsf.gov/statistics.
SELECT PRESENTATIONS
Engstrom, C. & Sinibaldi, J. (2022, May). Testing the measurement error of dependent interviewing in a self-administered mode [Conference presentation]. American Association for Public Opinion Research 2022 Conference, Chicago, IL.
Adeshiyan, S., Basner, J., & Chang, W.-Y. (2020, November). A novel approach to combine survey and bibliometric data for science policy research [Conference presentation]. BigSurv2020.
White, K. E., Chang, W.-Y., & Sugimoto, C. R. (2020, October). Publications output: U.S. trends, international comparisons, and linking to U.S. doctorate recipients [Conference presentation]. NIH Bibliometrics and Research Assessment Symposium 2020.
Chang, W.-Y., White, K., & Sugimoto, C. (2019, September). Demographic differences in the publication output of U.S. doctorate recipients [Conference presentation]. International Conference on Scientometrics and Informetrics.
Brummett, Q., Grigorian, K., & Chang, W.-Y. (2019, May). Using contacting information to derive employer name in the Survey of Doctorate Recipients [Conference presentation]. American Association for Public Opinion Research 2019 Conference, Toronto, Ontario, Canada.
Grigorian, K., Brown, S., & Foley, D. (2019, May). Where in the world? How in the world? The challenges of collecting data around the globe [Conference presentation]. American Association for Public Opinion Research 2019 Conference, Toronto, Ontario, Canada.
Seeskin, Z., Chang, W.-Y., & Zheng, C. (2019, May). Managing locating and data collection interventions through adaptive survey design [Conference presentation]. American Association for Public Opinion Research 2019 Conference, Toronto, Ontario, Canada.
Grigorian, K., Hoffer, T. B., Ransom, T., & Selfa, L. A. (2018, July). Exploring alternative measures of doctoral underemployment. The Society for Longitudinal and Life Course Studies International Conference, Milan, Italy.
West, B. T., & Sakshaug, J. W. (2018). The problem of analytic error in secondary analysis of survey data: What we know, and what we need to do about it [Conference presentation]. Duke Initiative on Survey Methodology, Social Science Research Institute, Duke University, Durham, NC.
Chang, W-Y. (2018, March). Balancing cross-sectional and longitudinal design objectives for the survey of doctorate recipients. Presented at the Federal Committee on Statistical Methodology (FCSM) Research and Policy Conference, Washington, DC.
SELECT PUBLICATIONS FROM THE RESEARCH COMMUNITY
Castro, F., Stuart, E., Deal, J., Varadaraj, V., & Swenor, B.K. (2023). STEM doctorate recipients with disabilities experienced early in life earn lower salaries and are underrepresented among higher academic positions. Nature Human Behavior.
Kaderabek, A. & Sinibaldi, J. (2022). Assessing measurement error in hypothetical questions. Survey Practice, October.
Jiang, X., Chang, W.-Y., & Weinberg, B.A. (2021). Man versus machine? Self-reports versus algorithmic measurement of publications. NBER Working Paper Series No. 28431, National Bureau of Economic Research.
Main, J.B., Wang, Y. & Tan, L. (2021). Preparing industry leaders: The role of doctoral education and early career management training in the leadership trajectories of women STEM PhDs. Research in Higher Education, 63(3), 400-424.
Eagly, A. H. (2020). Do the social roles that women and men occupy in science allow equal access to publication? Proceedings of the National Academy of Sciences, 117(11), 5553-5555.
Perez-Silva, R., Partridge, M.D., & Foster, W.E. (2019). Are foreign born researchers more innovative? Self selection and the production of knowledge among PhD recipients in the USA. Journal of Geographical Systems, 21, 557-594.
Bucks, B. & Couper, M.P. (2018). The fine print: The effect of legal/regulatory language on lail survey response. Survey Practice, 11(2).
Cohen, W. M., Sauermann, H., & Stephan, P. (2018). Not in the job description: The commercial activities of academic scientists and engineers. National Bureau of Economic Research, No. w24769.
Cummings, W. K. & Bain, O. (2018). US doctoral study to early career. In: Shin, J., Kehm, B., Jones, G. (eds), Doctoral Education for the Knowledge Society. Knowledge Studies in Higher Education.
Kahn, S. and MacGarvie, M. (2018). Immigration policy and stay rates of STEM PhDs. Proceedings of the 23rd International Conference on Science and Technology Indicators, Leiden, The Netherlands, September 12-14, 2018.
Kahn, S. & MacGarvie, M. (2018). The impact of permanent residency delays for STEM PhDS: Who leaves and why. NBER Working Paper Series No. 25175, National Bureau of Economic Research.
Kawa, N. C., Clavijo Michelangeli, J.A., Clark, J.L., Ginsberg, D., & McCarty, C. (2018). The social network of US academic anthropology and its inequalities. American Anthropologist 121(1), 14-29.
Khosla, P. (2018). Wait time for permanent residency and the retention of immigrant doctoral recipients in the U.S. Economic Analysis and Policy 57, 33-43.
Kniffin, K. M., & Hanks, A. S. (2018). The trade-offs of teamwork among STEM doctoral graduates. American Psychologist, 73(4), 420-432.
Meyers, L. C., Brown, A. M., Moneta-Koehler, L., & Chalkley, R. (2018). Survey of checkpoints along the pathway to diverse biomedical research faculty. PLOS ONE 13(1): e0190606.
Tao, Y. (2018). Earnings of academic scientists and engineers: Intersectionality of gender and race/ethnicity effects. American Behavioral Scientist, 62(5), 625-644.
Torche, F. (2018). Intergenerational mobility at the top of the educational distribution. Sociology of Education, 91(4), 266-289.
Webber, K. L., & González Canché, M. (2018). Is there a gendered path to tenure? A multi-state approach to examine the academic trajectories of U.S. doctoral recipients in the sciences. Research in Higher Education 59(7): 897-932.
Click here to download a list of more publications and presentations using the SDR data.