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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
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References

Ahrens, K. A., B. A. Haley, L. M. Rossen, P. C. Lloyd, and Y. Aoki (2016). Housing assistance and blood lead levels: Children in the United States, 2005–2012. American Journal of Public Health 106(11), 2049–2056.

Bates, N., F. Conrey, R. ZuWallack, D. Billia, V. Harris, L. Jacobsen, and T. White (2009). Messaging to America: Census Barriers, Attitudes and Motivators Survey Result. 2010 Census Integrated Communication Research Memorandum Series No. 10. Washington: U.S. Census Bureau.

Bates, N. and M. Mulry (2007). Segmenting the Population for the 2010 Census Integrated Communications Program. 2010 Census Integrated Communication Research Memorandum Series No. 1. Washington: U.S. Census Bureau.

Biemer, P., J. Murphy, S. Zimmer, C. Berry, G. Deng, and K. Lewis (2018). Using bonus monetary incentives to encourage web response in mixed-mode household surveys. Journal of Survey Statistics and Methodology 6(2), 240–261.

Bradburn, N. (1978). Respondent burden. In Proceedings of the Survey Research Methods Section of the American Statistical Association, Volume 35, pp. 40. American Statistical Association. Alexandria, VA.

Bradburn, N. M. (2015). Surveys as social interactions. Journal of Survey Statistics and Methodology 4(1), 94–109.

Bradley, J. R., S. H. Holan, and C. K. Wikle (2015). Computationally efficient distribution theory for bayesian inference of high-dimensional dependent count-valued data. arXiv preprint arXiv:1512.07273.

Bradley, J. R., S. H. Holan, and C. K. Wikle (2016). Multivariate spatio-temporal survey fusion with application to the American Community Survey and Local Area Unemployment Statistics. Stat 5(1), 224–233.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
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Bradley, J. R., C. K. Wikle, and S. H. Holan (2016). Bayesian spatial change of support for count-valued survey data with application to the American Community Survey. Journal of the American Statistical Association 111(514), 472–487.

Bradley, J. R., C. K. Wikle, and S. H. Holan (2017). Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79(3), 815–832.

Brucker, D. L., V. Helms, and T. Souza (2018). Health and health services access among adults with disabilities who receive federal housing assistance. Housing Policy Debate 28(2), 248–266.

Citro, C. F. (2014). From multiple modes for surveys to multiple data sources for estimates. Survey Methodology 40(2), 137–161.

Commission on Evidence-Based Policymaking (2017, September). The Promise of Evidence-Based Policymaking: Report of the Commission on Evidence-Based Policymaking. Washington, DC: U.S. Government Publishing Office.

Conrad, F. G., M. F. Schober, C. Antoun, H. Y. Yan, A. L. Hupp, M. Johnston, P. Ehlen, L. Vickers, and C. Zhang (2017). Respondent mode choice in a smartphone survey. Public Opinion Quarterly 81(S1), 307–337.

Conrey, F., R. ZuWallack, and R. Locke (2012). Census Barriers, Attitudes, and Motivators Survey II: Final Report. Washington, DC: U.S. Census Bureau.

Cressie, N. and C. K. Wikle (2015). Statistics for spatio-temporal data. Hoboken, NJ: John Wiley & Sons.

De Bruijne, M. and A. Wijnant (2014). Improving response rates and questionnaire design for mobile web surveys. Public Opinion Quarterly 78(4), 951–962.

Fenelon, A., P. Mayne, A. E. Simon, L. M. Rossen, V. Helms, P. Lloyd, J. Sperling, and B. L. Steffen (2017). Housing assistance programs and adult health in the united states. American Journal of Public Health 107(4), 571–578.

Fulton, J., G. Morales, and J. Childs (2016). Effectiveness of Messaging to Encourage Response to the American Community Survey. Center for Survey Methodology Study Series, Survey Methodology #2016-04. Washington, DC: U.S. Census Bureau.

Helms, V. E., B. A. King, and P. J. Ashley (2017). Cigarette smoking and adverse health outcomes among adults receiving federal housing assistance. Preventive Medicine 99, 171–177.

Helms, V. E., J. Sperling, and B. L. Steffen (2017). A Health Picture of HUD-Assisted Adults, 2006–2012: HUD Administrative Data Linked with the National Health Interview Survey. Washington, DC: U.S. Department of Housing and Urban Development.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
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Helms, V. E., B. L. Steffen, E. Rudd, and J. Sperling (2018). A Health Picture of HUD-Assisted Children, 2006–2012: HUD Administrative Data Linked with the National Health Interview Survey. Washington, DC: U.S. Department of Housing and Urban Development.

Holland, L., M. Couper, and H. Schroeder (2014). Prenotification strategies for mixed-mode data collection. In Annual Conference of the American Association for Public Opinion Research.

ICF Macro (2009). Census Barriers, Attitudes and Motivators Survey Analytic Report. 2010 Census Integrated Communication Research Memorandum Series No. 11. Washington, DC: U.S. Census Bureau.

Lavrakas, P. J., B. Skalland, C. Ward, C. Geng, V. Welch Jr, J. Jeyarajah, and C. Knighton (2018). Testing the effects of envelope features on survey response in a telephone survey advance letter mailing experiment. Journal of Survey Statistics and Methodology 6(2), 262–283.

Lloyd, P. C., V. E. Helms, A. E. Simon, C. Golden, J. Brittain, E. Call, L. B. Mirel, B. L. Steffen, J. Sperling, E. C. Rudd, J. D. Parker, and C. S. Star (2017). Linkage of 1999–2012 National Health Interview Survey and National Health and Nutrition Examination Survey data to U.S. Department of Housing and Urban Development administrative records. Vital and health statistics. Ser. 1, Programs and collection procedures (60), 1–40.

Mavletova, A. and M. P. Couper (2014). Mobile web survey design: Scrolling versus paging, SMS versus e-mail invitations. Journal of Survey Statistics and Methodology 2(4), 498–518.

Medway, R. L. and J. Fulton (2012). When more gets you less: A meta-analysis of the effect of concurrent web options on mail survey response rates. Public Opinion Quarterly 76(4), 733–746.

National Academies of Sciences, Engineering, and Medicine (2016). Reducing Response Burden in the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press.

National Research Council (2013). Benefit, Burdens, and Prospects of the American Community Survey: Summary of a Workshop. Daniel L. Cork, rapporteur. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.

Oehlert, G. W. (1992). A note on the delta method. The American Statistician 46(1), 27–29.

O’Hara, A., A. Bee, and J. Mitchell (2016). Preliminary Research for Replacing or Supplementing the Income Question on the American Community Survey with Administrative Records. 2016 American Community Survey Research and Evaluation Report Memorandum Series #ACS16-RER-17. Washington, DC: U.S. Census Bureau.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
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Oliver, B. E., S. K. Heimel, and J. P. Schreiner (2017, November 16). Strategic Framework for Messaging in the American Community Survey Mail Materials. American Community Survey Research and Evaluation Report Memorandum Series #ACS17RER-14. Washington, DC: U.S. Census Bureau.

Porter, A. T., S. H. Holan, C. K. Wikle, and N. Cressie (2014). Spatial Fay–Herriot models for small area estimation with functional covariates. Spatial Statistics 10, 27–42.

Rothbaum, J. L. (2015). Comparing Income Aggregates: How Do the CPS and ACS Match the National Income and Product Accounts, 2007–2012. Social, Economic, and Housing Statistics Division Working Paper # 2015-01. Washington, DC: U.S. Census Bureau.

Simon, A. E., A. Fenelon, V. Helms, P. C. Lloyd, and L. M. Rossen (2017). HUD housing assistance associated with lower uninsurance rates and unmet medical need. Health Affairs 36(6), 1016–1023.

Statistics Canada (2017, November 29). Income Reference Guide: Census of Population, 2016. Catalogue No. 98-500-X2016004. Ottawa: Minister of Industry.

Thompson, K. and S. J. Kaputa (2017). Investigating adaptive nonresponse follow-up strategies for small businesses through embedded experiments. Journal of Official Statistics 33(3), 835–856.

Tourangeau, R. and C. Ye (2009). The framing of the survey request and panel attrition. Public Opinion Quarterly 73(2), 338–348.

U.S. Census Bureau (2015). Agility in Action: A Snapshot of Enhancements to the American Community Survey. Washington, DC: American Community Survey Office, U.S. Census Bureau.

U.S. Census Bureau (2017, May). Agility in Action 2.0: A Snapshot of Enhancements to the American Community Survey. Washington, DC: American Community Survey Office, U.S. Census Bureau.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
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Page 169
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
×
Page 170
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
×
Page 171
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the American Community Survey: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25387.
×
Page 172
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Since its origin 23 years ago as a pilot test conducted in four U.S. counties, the U.S. Census Bureau’s American Community Survey (ACS) has been the focus of continuous research, development, and refinement. The survey cleared critical milestones 14 years ago when it began full-scale operations, including comprehensive nationwide coverage, and 5 years later when the ACS replaced a long-form sample questionnaire in the 2010 census as a source of detailed demographic and socioeconomic information. Throughout that existence and continuing today, ACS research and testing has worked to improve the survey’s conduct in the face of challenges ranging from detailed and procedural to the broad and existential.

This publication summarizes the presentations and discussion at the September 26–27, 2018, Workshop on Improving the American Community Survey (ACS), sponsored by the U.S. Census Bureau. Workshop participants explored uses of administrative records and third-party data to improve ACS operations and potential for boosting respondent participation through improved communication.

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