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Suggested Citation:"References." National Research Council. 2008. Using the American Community Survey for the National Science Foundation's Science and Engineering Workforce Statistics Programs. Washington, DC: The National Academies Press. doi: 10.17226/12244.
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Page 79
Suggested Citation:"References." National Research Council. 2008. Using the American Community Survey for the National Science Foundation's Science and Engineering Workforce Statistics Programs. Washington, DC: The National Academies Press. doi: 10.17226/12244.
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Page 80

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References Cobb, C., Krosnick, J., and Bannon, J. 2006 Experimental Tests of Questions Measuring Field of Degree: Surveys of Stanford and Uni- versity of Virginia Alumni. Unpublished paper prepared for the National Science Foundation. For a description of this paper, see http://communication.stanford. edu/faculty/krosnick.html [accessed April 2008]. Dillman, D., Mahon-Haft, T., Cook, S., and Wright, K. 2006a Cognitive Evaluations of Alternative Questions for Determining Field of Study for Bach- elors Degree(s) as a Follow-up to Highest Degree Question in the American Community Survey. (Technical Report 06-037.) Pullman, WA: Washington State University, Social & Economic Sciences Research Center. Dillman, D., Mahon-Haft, T., and Wright, K. 2006b Effects of Question Structure on Answers to Field of Study Question Proposed for the American Community Survey: A Follow-up Test. (Technical Report 06-041.) Pullman, WA: Washington State University, Social & Economic Sciences Research Center. Executive Office of the President, Office of Science and Technology Policy 2006 American Competitiveness Initiative: Leading the World in Innovation. Washington, DC: U.S. Government Printing Office. Fecso, R., Baskin, R., Chu, A., Gray, C., Kalton, G., and Phelps, R. 2007a Design Options for SESTAT for the Current Decade: Statistical Issues. (Working Paper SRS 07-201.) Arlington, VA: National Science Foundation, Division of Science Resources Statistics. Fecso, R., Choudry, G., Kalton, G., Chu, A., and Phelps, R. 2007b Current and Alternative Sources of Data on the Science and Engineering Workforce. (Working Paper SRS 07-202.) Arlington, VA: National Science Foundation, Divi- sion of Science Resources Statistics. Finamore, J.M., Hall, D.W., and Fecso, R.S. 2006 Dual Frame Estimation in the 2003 National Survey of College Graduates. Proceed- ings for the Section on Survey Research Methods of the American Statistical Association (pp. 3008-3015). Available: http://www.amstat.org/sections/srms/proceedings/ y2006/Files/JSM2006-000330.pdf [accessed June 2008]. 79

80 USING THE AMERICAN COMMUNITY SURVEY Kelly, T.K., Butz, W.P., Carroll, S., Adamson, D.M., and Bloom, G., Eds. 2004 The U.S. Scientific and Technical Workforce: Improving Data for Decision Making. Prepared for the Office of Science and Technology Policy and the Alfred P. Sloan Foundation. Santa Monica, CA: RAND. National Academy of Sciences, National Academy of Engineering, and Institute of Medicine 2007 Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Future. Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology. Committee on Science, Engineer- ing, and Public Policy. Washington, DC: The National Academies Press. National Research Council 1989 Surveying the Nation’s Scientists and Engineers: A Data System for the 1990s. Panel to Study the NSF Scientific and Technical Personnel Data System. Committee on National Statistics. Washington, DC: National Academy Press. 2003 Improving the Design of the Scientists and Engineers Statistical Data System (SESTAT). Committee to Review the 2000 Decade Design of the Scientists and Engineers Statistical Data System (SESTAT). Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. 2007 Using the American Community Survey: Benefits and Challenges. Panel on the Func- tionality and Usability of Data from the American Community Survey, Constance F. Citro and Graham Kalton, Eds., Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. National Science Board 2003 Science and Engineering Workforce: Realizing America’s Potential. Arlington, VA: National Science Foundation. 2006 Science and Engineering Indicators 2006, Volume 1. Arlington, VA: National Science Foundation. National Science Foundation 2007 Using the American Community Survey (ACS) as the Sampling Frame for the National Survey of College Graduates (NSCG). Unpublished paper. Available on request from the Sciences Resources Statistics Division, National Science Foundation, Arling- ton, VA. Rothgeb, J., and Beck, J. 2006 Cognitive Interviewing Research Results and Recommendations for the National Science Foundation’s Proposed Field of Degree Question for the American Community ­Survey. Washington, DC: U.S. Census Bureau Center for Survey Methods Research, S ­ tatistical Research Division. Tsapogas, J., Fecso, R., Baskin, R., Chu, A., Gray, C., Kalton, G., Levine, D., Smith, T., and Winglee, M. 2007 Comparison of the National Science Foundation’s Scientists and Engineers Statistical Data System (SESTAT) with the Bureau of Labor Statistics’ Current Population Survey (CPS). Available: http://www.nsf.gov/statistics/srs07205/ [accessed June 2008]. U.S. Census Bureau 2007 Policy on Using the American Community Survey Frame for Reimbursable Follow-on Surveys. Unpublished letter from Howard Hogan, May 1.

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The National Science Foundation (NSF) has long collected information on the number and characteristics of individuals with education or employment in science and engineering and related fields in the United States. An important motivation for this effort is to fulfill a congressional mandate to monitor the status of women and minorities in the science and engineering workforce. Consequently, many statistics are calculated by race or ethnicity, gender, and disability status. For more than 25 years, NSF obtained a sample frame for identifying the target population for information it gathered from the list of respondents to the decennial census long-form who indicated that they had earned a bachelors or higher degree. The probability that an individual was sampled from this list was dependent on both demographic and employment characteristics. But, the source for the sample frame will no longer be available because the census long-form is being replaced as of the 2010 census with the continuous collection of detailed demographic and other information in the new American Community Survey (ACS). At the request of NSF's Science Resources Statistics Division, the Committee on National Statistics of the National Research Council formed a panel to conduct a workshop and study the issues involved in replacing the decennial census long-form sample with a sample from the ACS to serve as the frame for the information the NSF gathers. The workshop had the specific objective of identifying issues for the collection of field of degree information on the ACS with regard to goals, content, statistical methodology, data quality, and data products.

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