Design and Sample Size Determination for Experiments on Nonresponse Followup using a Sequential Regression Model

Agresti, A. 2013. Categorical Data Analysis. Wiley, 3rd edition. Search in Google Scholar

Albert, J.H., and S. Chib. 2001. “Sequential ordinal modeling with applications to survival data.” Biometrics 57(3): 829–836,. DOI: https://doi.org/10.1111/j.0006-341X.2001.00829.x. Search in Google Scholar

Alho., J.M. 1990. “Adjusting for nonresponse bias using logistic regression.” Biometrika 77(3): 617–624. DOI: https://doi.org/10.1093/biomet/77.3.617. Search in Google Scholar

Ashmead, R., E. Slud, and T. Hughes. 2017. “Adaptive intervention methodology for reduction of respondent contact burden in the American Community Survey.” Journal of Official Statistics 33(4): 901–919. DOI: https://doi.org/10.1515/jos-2017-0043. Search in Google Scholar

Barboza, G.E., and S. Dominguez. 2016. “A sequential logit model of caretakers’ decision to vaccinate children for the human papillomavirus virus in the general population.” Preventive Medicine 85: 84–89. DOI: https://doi.org/10.1016/j.ypmed.2016.01.010. Search in Google Scholar

Blumenson, L.E. 1960. “A derivation of n-dimensional spherical coordinates.” The American Mathematical Monthly, 67(1): 63–66. DOI: https://doi.org/10.2307/2308932. Search in Google Scholar

Boes, S., and R. Winkelmann. 2006. “Ordered response models.” Allgemeines Statistisches Archiv 90: 167–181. DOI: https://doi.org/10.1007/s10182-006-0228-y. Search in Google Scholar

Brown, J.D., M.L. Heggeness, S.M. Dorinski, L. Warren, and M. Yi. 2018. Understanding the quality of alternative citizenship data sources for the 2020 Census. CES Working Paper Series: CES 18–38, Center for Economic Studies, U.S. Census Bureau. Available at: https://www2.census.gov/ces/wp/2018/CES-WP-18-38.pdf (accessed October 2022). Search in Google Scholar

Bush, S. 2015. “Sample size determination for logistic regression: A simulation study.” Communications in Statistics – Simulation and Computation 44(2): 360–373. DOI: 10.1080/03610918.2013.777458. Search in Google Scholar

Chow, S.-C., J. Shao, H. Wang, and Y. Lokhnygina. 2017. Sample Size Calculations in Clinical Research. Chapman and Hall/CRC, 3rd edition. Search in Google Scholar

Compton, E., and M. Bentley. 2012. 2010 Census nonresponse followup (NRFU) contact strategy experiment report. 2010 Census Planning Memoranda Series: CPEX–174, Decennial Statistical Studies Division, U.S. Census Bureau. Available at: https://www.census.gov/programs-surveys/decennial-census/decade/2010/program-management/cpex/2010-cpex-174.html. Search in Google Scholar

Cordeiro, G.M., D.A. Botter, and S.L.D.P. Ferrari. 1994. “Nonnull asymptotic distributions of three classic criteria in generalised linear models.” Biometrika 81(4): 709–720. DOI: https://doi.org/10.1093/biomet/81.4.709. Search in Google Scholar

Cox, D.R. 1972. “Regression models and life-tables.” Journal of the Royal Statistical Society. Series B 34(2): 187–220. DOI: https://doi.org/10.1111/j.2517-6161.1972.tb00899.x. Search in Google Scholar

Daas, P.J.H., M.J. Puts, B. Buelens, and P.A.M. van den Hurk. 2015. “Big Data as a Source for Official Statistics.” Journal of Official Statistics 31(2): 249–262. DOI: https://doi.org/10.1515/jos-2015-0016. Search in Google Scholar

Davern, M., M. Roemer, and W. Thomas. 2009. “Investing in a data quality research program for administrative data linked to survey data for policy research purposes is essential.” In Federal Committee on Statistical Methodology Research Conference, November 2–4, Washington, D.C. U.S.A, Available at: https://nces.ed.gov/FCSM/pdf/2009FCSM_Davern_IX-A.pdf (accessed October 2022). Search in Google Scholar

Demidenko, E. 2007. “Sample size determination for logistic regression revisited.” Statistics in Medicine 26(18): 3385–3397. DOI: https://doi.org/10.1002/sim.2771. Search in Google Scholar

Demidenko, E. 2008. “Sample size and optimal design for logistic regression with binary interaction.” Statistics in Medicine 27(1): 36–46. DOI: https://doi.org/10.1002/sim.2980. Search in Google Scholar

Deming, W.E. 1953. “On a probability mechanism to attain an economic balance between the resultant error of non-response and the bias of non-response.” Journal of the American Statistical Association 48: 743 – 772. DOI: https://doi.org/10.1080/01621459.1953.10501197. Search in Google Scholar

Ellis, R., P. Goerman, K. Kephart, A.C. Fobia, A.S. Giron, M. Meyers, R. Terry, L. Fernandez, F. Lineback, M. Berger, A. Bruce, and E. Jensen. 2018. Research on coverage of underrepresented populations in anticipation of a records-based census. 2020 Census: Evaluation, Experiment, and Research and Testing Study. Internal report. Search in Google Scholar

Erdman, C., and N. Bates. 2016. “The low response score (LRS): A metric to locate, predict, and manage hard-to-survey populations.” Public Opinion Quarterly 81(1): 144–156. DOI: https://doi.org/10.1093/poq/nfw040. Search in Google Scholar

Erdman. C., and N. Bates. 2017. Available at: https://www.census.gov/topics/research/-guidance/planning-databases.html (accessed October 2022). Search in Google Scholar

Fienberg, S.E. 2007. The analysis of cross-classified categorical data. Springer Science & Business Media, 2nd edition. Search in Google Scholar

Fullerton, A.S. 2009. “A conceptual framework for ordered logistic regression models.” Sociological Methods & Research 38(2): 306–347. DOI: https://doi.org/10.1177/0049124109346162. Search in Google Scholar

Ghosal, S., and A. van der Vaart. 2017. Fundamentals of Nonparametric Bayesian Inference. Cambridge University Press. Search in Google Scholar

Groves, R.M., and G.J. Schoeffel. “Use of administrative records in evidence-based policymaking.” The ANNALS of the American Academy of Political and Social Science 678(1): 71–80. DOI: https://doi.org/10.1177/0002716218766508. Search in Google Scholar

Hansen, M.H., and W.N. Hurwitz. 1946. “The problem of non-response in sample surveys.” Journal of the American Statistical Association 41(236): 517–529. DOI: https://doi.org/10.1080/01621459.1946.10501894. Search in Google Scholar

Lohr, S.L. 2010. Sampling: Design and Analysis. Brooks/Cole, Boston, MA, 2nd edition, 2010. Search in Google Scholar

Lyles, R.H., H.-M. Lin, and J.M. Williamson. 2007. “A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses.” Statistics in Medicine 26(7): 1632–1648. DOI: https://doi.org/10.1002/sim.2617. Search in Google Scholar

Molfino, E., G. Korkmaz, S.A. Keller, A. Schroeder, S. Shipp, and D.H. Weinberg. 2017. “Can administrative housing data replace survey data?” Cityscape 19(1): 265–292. Search in Google Scholar

Morris, D.S., A. Keller, and B. Clark. 2016. “An approach for using administrative records to reduce contacts in the 2020 Decennial Census.” Statistical Journal of the IAOS 32(2): 177–188. DOI: https://doi.org/10.3233/SJI-161002. Search in Google Scholar

Myers, R.H. 2000. Classical and Modern Regression with Applications. Duxbury Press, 2nd edition. Search in Google Scholar

National Research Council. 2010. In Envisioning the 2020 Census, edited by L.D. Brown, M.L. Cohen, D.L. Cork, and C.F. Citro,. The National Academies Press, Washington, D.C. DOI: https://doi.org/10.17226/12865. Search in Google Scholar

Oehlert, G.W. 2000. A first course in design and analysis of experiments. W.H. Freeman. Available at: http://users.stat.umn.edu/~gary/Book.html. Search in Google Scholar

Pan, Y., and S. Lubkemann. 2013. Observing census enumeration of non-English speaking households in the 2010 Census: Evaluation report. Research Report Series: Survey Methodology 2013(2). Center for Survey Measurement, U.S. Census Bureau. Available at: https://www.census.gov/library/working-papers/2013/adrm/ssm2013-02.html (accessed October 2023). Search in Google Scholar

Peyhardi, J., C. Trottier, and Y. Guédon. 2015. “A new specification of generalized linear models for categorical responses.” Biometrika 102(4): 889–906. DOI: https://doi.org/10.1093/biomet/asv042. Search in Google Scholar

Politz, A., and W. Simmons. 1949. “An attempt to get the “not at homes” into the sample without callbacks.” Journal of the American Statistical Association 44(245): 9–16. DOI: https://doi.org/10.2307/2280347. Search in Google Scholar

Praestgaard, J. 2012. “A note on the power superiority of the restricted likelihood ratio test.” Journal of Multivariate Analysis 104(1): 1–15. DOI: https://doi.org/10.1016/j.jmva.2011.04.004. Search in Google Scholar

R Core Team. 2021. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project.org/ (accessed October 2023). Search in Google Scholar

Rao, p. 1983 “Callbacks, follow-ups, and repeated telephone calls.” In Incomplete Data in Sample Surveys, edited by W.G. Madow, I. Olkin, and D.B. Rubin 33–44. Academic Press, New York. Search in Google Scholar

Rigon, T., and D. Durante. 2021. “Tractable Bayesian density regression via logit stick-breaking priors.” Journal of Statistical Planning and Inference 211: 131–142. DOI: https://doi.org/10.1016/j.jspi.2020.05.009. Search in Google Scholar

Särndal, C.-E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. Springer-Verlag New York, Inc., New York. Search in Google Scholar

SAS Institute Inc. 2018. The GENMOD Procedure 3407–3607. SAS Publishing. Available at: http://support.sas.com/documentation/onlinedoc/stat/151/genmod.pdf (accessed October 2023). Search in Google Scholar

Scheuren, F. 1999. “Administrative records and census taking.” Survey Methodology 25(2): 151–160. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/1999002/article/4878-eng.pdf (accessed October 2022). Search in Google Scholar

Self, S.G., and R.H. Mauritsen. 1988. “Power/sample size calculations for generalized linear models.” Biometrics 44(1): 79–86. DOI: https://doi.org/10.2307/2531897. Search in Google Scholar

Self, S.G., R.H. Mauritsen, and J. Ohara. 1992. “Power calculations for likelihood ratio tests in generalized linear models.” Biometrics 48(1): 31–39. DOI: https://doi.org/10.2307/2532736. Search in Google Scholar

Shieh, G. 2000. “On power and sample size calculations for likelihood ratio tests in generalized linear models.” Biometrics 56(4): 1192–1196. DOI: https://doi.org/10.1111/j.0006-341X.2000.01192.x. Search in Google Scholar

Shieh, G. 2005. “On power and sample size calculations for Wald tests in generalized linear models.” Journal of Statistical Planning and Inference 128(1): 43–59. DOI: https://doi.org/10.1016/j.jspi.2003.09.017. Search in Google Scholar

Silvapulle, M.J., and P.K. Sen. 2004. Constrained Statistical Inference: Order, Inequality, and Shape Constraints. Wiley-Interscience. Search in Google Scholar

Singer, E. 2006. “Introduction: Nonresponse Bias in Household Surveys.” Public Opinion Quarterly 70(5): 637–645. DOI: https://doi.org/10.1093/poq/nfl034. Search in Google Scholar

Slud, E., and B. Kedem. 1994. “Partial likelihood analysis of logistic regression and autoregression.” Statistica Sinica 4(1): 89–106. Search in Google Scholar

Tutz, G. 1991. “Sequential models in categorical regression.” Computational Statistics & Data Analysis 11(3): 275–295. DOI: https://doi.org/10.1016/0167-9473(91)90086-H. Search in Google Scholar

Tutz, G. 2022. “Ordinal regression: A review and a taxonomy of models.” WIREs Computational Statistics 14(2): e1545. DOI: https://doi.org/10.1002/wics.1545. Search in Google Scholar

U.S. Census Bureau. 2013. U.S. Census Bureau statistical quality standards. Available at: https://www.census.gov/content/dam/Census/about/about-the-bureau/policies_and_notices/quality/statistical-quality-standards/Quality_Standards.pdf (accessed October 2022). Search in Google Scholar

U.S. Census Bureau. 2019. 2020 Census detailed operational plan for: 18. nonresponse followup operation (NRFU). Available at: https://www.census.gov/programs-surveys/-decennial-census/2020-census/planning-management/planning-docs/NRFU-detailed-op-plan.html. Search in Google Scholar

Walker, S., S. Winder, G. Jackson, and S. Heimel. 2012. 2010 census nonresponse followup operations assessment. Technical Report 190, 2010 Census Planning Memoranda Series. Available at: https://www.census.gov/2010census/pdf/2010_Census_NRFU_Operations_Assessment.pdf (accessed October 2022). Search in Google Scholar

Wood, A.M., I.R. White, and M. Hotopf. 2006. “Using number of failed contact attempts to adjust for non-ignorable non-response.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 169(3): 525–542. DOI: https://doi.org/10.1111/j.1467-985X.2006.00405.x. Search in Google Scholar