References
- Agency for Healthcare Research and Quality. 2016. “MEPS HC-171 2014 Full Year Consolidated Data File.” Available at: https://meps.ahrq.gov/data_stats/download_data/pufs/h171/h171doc.pdf. (accessed March 2017).
- Barron, M., M. Davern, R. Montgomery, X. Tao, K.M. Wolter, W. Zeng, C. Dorell, and C. Black. 2015. “Using Auxiliary Sample Frame Information for Optimum Sampling of Rare Populations.” Journal of Official Statistics 31: 545–557. Doi: http://dx.doi.org/10.1515/JOS-2015-0034.
- Bureau of Labor Statistics. (2016, June). ATUS User’s Guide (PDF). Available at: http://www.bls.gov/tus/atususersguide.pdf. (accessed March 2017).
- Centers for Disease Control and Prevention. (2016, May 23). Federal Register: The Daily Journal of the United States Government. Available at: https://www.federalregister.gov/articles/2016/05/23/2016-12008/proposed-data-collection-submitted-for-publiccomment-and-recommendations. (accessed March 2017).
- Chowdhury, S.R. and R.M. Baskin. 2014. “PPS Subsampling from NHIS to MEPS – Effect on Precision of MEPS Estimates.” In Proceedings of the Section on Survey Research Methods: American Statistical Association, August 2014, 2339–2351. Alexandria, VA: American Statistical Association (CD-ROM).
- Durrant, G.B., O. Maslovskaya, and P.W.F. Smith. 2014. “Sequence Analysis as a Tool for Investigating Call Record Data.” Working paper, University of Southampton. Available at: https://eprints.soton.ac.uk/369102/ (accessed March 2017).
- Durrant, G.B., O. Maslovskaya, and P.W. Smith. 2015. “Modelling Final Outcome and Length of Call to Improve Efficiency in Call Scheduling.” Journal of Survey Statistics and Methodology 3: 397–424. Doi: https://doi.org/10.1093/jssam/smv008.
- Eckman, S., J. Sinibaldi, and A. Montmann-Hertz. 2013. “Can Interviewers Effectively Rate the Likelihood of Cases to Cooperate?” Public Opinion Quarterly 77: 561–573. Doi: http://dx.doi.org/10.1093/poq/nft012.
- Ezzati-Rice, T.M., F. Rohde, and J. Greenblatt. 2008. Sample Design of the Medical Expenditure Panel Survey Household Component, 1998–2007, Methodology Report No. 22. March 2008. Rockville, MD: Agency for Healthcare Research and Quality. Available at: https://meps.ahrq.gov/data_files/publications/mr22/mr22.pdf (accessed March 2017).
- Fricker, S., T. Yan, and S. Tsai. 2014. “Response Burden: What Predicts it and Who is Burdened Out?” In Proceedings of AAPOR Section: American Statistical Association, August 2014. 4568–4577. Alexandria, VA: American Statistical Association. (CD-ROM).
- Groves, R.M. and S.G. Heeringa. 2006. “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society, Series A 169: 439–457. Doi: http://dx.doi.org/10.1111/j.1467-985X.2006.00423.x.
- Groves, R.M., M.D. Mosher, J. Lepkowski, and N.G. Kirgis. 2009. Planning and Development of the Continuous National Survey of Family Growth. National Center for Health Statistics. Vital Health Stat, 1(48). Available at: https://www.cdc.gov/nchs/data/series/sr_01/sr01_048.PDF (accessed March 2007).
- Hansen, M.H. and W.N. Hurwitz. 1946. “The Problem of Non-Response in Sample Surveys.” Journal of the American Statistical Association 41: 517–529. Doi: http://dx.doi.org/10.1080/01621459.1946.10501894.
- Kreuter, F. 2013. Improving Surveys with Paradata: Analytic Uses of Process Information, edited by Frauke Kreuter. Hoboken, NJ: John Wiley & Sons, Inc.
- Kish, L. 1965. Survey Sampling. New York: Wiley.
- Lohr, S.L. 2009. Sampling: Design and Analysis. Boston: Richard Stratton.
- Luiten, A. and B. Schouten. 2013. “Tailored Fieldwork Design to Increase Representative Household Survey Response: an Experiment in the Survey of Consumer Satisfaction.” Journal of the Royal Statistical Society A 176: 169–189. Doi: http://dx.doi.org/10.1111/j.1467-985X.2012.01080.x.
- National Center for Health Statistics, National Health Interview Survey, 2014. Public-use data file and documentation. Available at: http://www.cdc.gov/nchs/nhis/quest_data_related_1997_forward.htm (accessed March 2017).
- National Research Council, N. 2008. Using the American Community Survey for the National Science Foundation’s Science and Enginering Workforce Statistics Programs. Washington, DC: National Academies Press. Doi: https://doi.org/10.17226/12244.
- National Science Foundation. 2016. National Survey of College Graduates. Available at: http://www.nsf.gov/statistics/srvygrads/#tabs-1 (accessed March 2017).
- Neyman, J. 1934. “On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection.” Journal of the Royal Statistical Society 97: 558–606. Doi: http://dx.doi.org/10.2307/2342192.
- Wagner, J. 2013. “Using Paradata-Driven Models to Improve Contact Rates in Telephone and Face-to-Face Surveys.” In Improving Surveys with Paradata: Analytic Use of Process Information, edited by F. Kreuter, 145–170. New Jersey: John Wiley and Sons.
- West, B.T. 2013. “An Examination of the Quality and Utility of Interviewer Observations in the National Survey of Family Growth.” Journal of the Royal Statistical Society A 176: 211–225. Doi: http://dx.doi.org/10.2307/23355184.
- West, B.T. and F. Kreuter. 2013. “Factors Affecting the Accuracy of Interviewer Observations Evidence from the National Survey of Family Growth.” Public Opinion Quarterly 77: 522–548. Doi: https://doi.org/10.1093/poq/nft016.