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18. References Australian Bureau of Statistics. 2009. The Australian Bureau of Statistics Data Quality Framework . Canberra: Australian Bureau of Statistics. Available at: http://www.abs.gov.au/ausstats/abs@.nsf/mf/1520.0 . (accessed June 2013). Bakker, B. 2012. “Estimating the Validity of Administrative Variables.” Statistica Neerlandica 66: 8–17. Doi: http://dx.doi.org/10.1111/j.1467-9574.2011.00504.x . Biemer, P. 2010. “Total Survey Error: Design, Implementation and Evaluation.” Public Opinion Quarterly 74: 817–848. Doi: http

Random Sampling with Random Assignment , edited by P.J. Lavrakas, E. de Leeuw, A. Holbrook, C. Kennedy, M.W. Traugott, and B.T. West. Hoboken NJ: John Wiley & Sons. Biemer, P.P. 2010. “Total Survey Error: Design, Implementation and Evaluation.” Public Opinion Quarterly 74(5): 817–848. Doi: http://dx.doi.org/10.1093/poq/nfq058 . Biemer, P.P. and L.E. Lyberg. 2003. Introduction to Survey Quality . New York: John Wiley. Bowling, A. 2005. “Mode of Questionnaire Administration Can Have Serious Effects on Data Quality.” Journal of Public Health 27: 281–291. Buck, N

References Andersen, R., J. Kaspar, and M. Frankel. 1979. Total Survey Error. San Francisco: Jossey-Bass Publishers. Baldrige Performance Excellence Program 2013. The 2013-2014 Criteria for Performance Excellence. Available at: http://www.nist.gov/baldrige/ (accessed August 3, 2013). Barkley, B.T. 2004. Project Risk Management. New York: McGraw Hill Professional. Biemer, P. 2011. Latent Class Analysis of Survey Error. Hoboken, NJ: John Wiley & Sons. Biemer, P. 2014. “Comment on ‘On Information Quality’ by Kenett and Shmueli.” Journal of the Royal Statistical

, edited by R.S. Burt and M.J. Minor. 18–34. Beverly Hills, CA: Sage. Lee, S. 2009. “Understanding Respondent Driven Sampling from a Total Survey Error Perspective.” Survey Practice . Available at: http://www.surveypractice.org/index.php/SurveyPractice/article/view/187/html (accessed September 2015). Lee, R., J. Ranaldi, M. Cummings, J.N. Crucetti, H. Stratton, and L.-A. McNutt. 2011. “Given the Increasing Bias in Random Digit Dial Sampling, Could Respondent-Driven Sampling be a Practical Alternative?” Annals of Epidemiology 21(4): 272–279. Doi: https://doi.org/10

References Biemer, P.P. 2010. “Total Survey Error: Design, Implementation, and Evaluation.” Public Opinion Quarterly 74: 817–848. Doi: https://doi.org/10.1093/poq/nfq058 . Biemer, P.P., E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B.T. West. 2017. Total Survey Error in Practice . Wiley series in survey methodology. New York: Wiley. Groves, R.M. and L.E. Lyberg 2010. “Total Survey Error: Past, Present and Future.” Public Opinion Quarterly 74: 849–879. Doi: https://doi.org/10.1093/poq/nfq065 .

References Biemer, P. (2010). Total Survey Error: Design, Implementation, and Evaluation. Public Opinion Quarterly, 74, 1-35. Biemer, P.P. and Lyberg, L. (2003). Introduction to Survey Quality. New York: John Wiley & Sons. Couper, M.P. (1998), Measuring Survey Quality in a CASIC Environment. Invited paper presented at the Joint Statistical Meetings of the American Statistical Association, Dallas, TX. Available at: http://www.amstat.org/sections/srms/Proceedings/ (accessed June 20, 2012) Curtin, R., Presser, S., and Singer, E. (2005). Changes in Telephone Survey

.S. Freedman, A.F. Subar, V. Kipnis, D. Midthune, J.A. Tooze, and S.M. Krebs-Smith. 2006. “Statistical Methods for Estimating Usual Intake of Nutrients and Foods: A Review of the Theory.” Journal of the American Dietetic Association 106: 1640–1650. Doi: http://doi.org/10.1016/j.jada.2006.07.011 . Ferrari, P., C. Friedenreich, and C.E. Matthews. 2007. “The Role of Measurement Error in Estimating Levels of Physical Activity.” American Journal of Epidemiology 166: 832–840. Doi: https://doi.org/10.1093/aje/kwm148 . Groves, R.M. and L. Lyberg. 2010. “Total Survey Error

Design, Journal of Official Statistics 33(3): 857–871. Doi: https://doi.org/10.1515/jos-2017-0039 . Morganstein, D. and D.A. Marker. 1997. “Continuous Quality Improvement in Statistical Agencies.” In Survey Measurement and Process Quality edited by L.E. Lyberg, P.P. Biemer, M. Collins, E. De Leeuw, C. Dippo, N. Schwarz, and D. Trewin, 475–500. New York, U.S.A.: John Wiley & Sons. Mulry, M. and B. Spencer. 2012. “A Framework for Empirical Cost Modeling Relating Cost and Data Quality.” Paper presented at the 2012 International Total Survey Error Workshop (accessed

References Australian Bureau of Statistics (2012). International Collaboration Effort - Statistical Network Progress Report. Paper presented by Brian Pink at the meeting of Directors General of participating countries Australia, New Zealand, Norway, Sweden, Canada, UK in New York, February 2012. Biemer, P.P. (2010). Total Survey Error: Design, Implementation and Evaluation. Public Opinion Quarterly, 74, 817-848. Bisgaard, S. and Pinho, A. (2003). Follow-Up Experiments to Verify Dispersion Effects: Taguchi’s Welding Experiment. Quality Engineering, 16, 335