Optimizing quality of response through adaptive survey designs

Survey Methodology

Volumn 39, Issue 1, 2012, Pages 29-58

  Schouten, Barry ^a   Calinescu, Melania ^b   Luiten, Annemieke ^c  

^a UTRECHT UNIVERSITY   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c STATISTICS NETHERLANDS   (Netherlands)

Author keywords

Nonresponse; Responsive survey design; Survey costs; Survey errors

Indexed keywords

EID: 84883016697     PISSN: 07140045     EISSN: 14920921     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Barón, J.D., Breunig, R.V., Cobb-Clark, D., Gørgens, T. and Sartbayeva, A. (2009). Does the effect of incentive payments on survey response rates differ by income support history. Journal of Official Statistics, 25, 483-507.
2. th International Total Survey Error Workshop, June 21-23, Quebec, Canada.
3. Calinescu, M., Schouten, B. and Bhulai, S. (2012). Adaptive survey designs that minimize nonresponse and measurement risk, Discussion paper, Statistics Netherlands. Available at through www.cbs.nl.
4. Cobben, F. (2009). Nonresponse in sample surveys. Methods for analysis and adjustment, Ph.D. Thesis, University of Amsterdam.
5. De Leeuw, E.D. (2008). Choosing the Method of Data Collection. In International Handbook of Survey Methodology, (Eds., E.D. De Leeuw, J.J. Hox and D.A. Dillman), Larence Erlbaum Associates, New York, U.S.A., 113-135.
6. De Leeuw, E., Callegaro, M., Hox, J., Korendijk, E. and Lensvelt-Mulders, G. (2007). The influence of advance letters on response in telephone surveys. Public Opinion Quarterly, 71, 413-443.
7. Dillman, D.A. (2007). Mail and internet surveys: The tailored design method, Wiley, Hoboken, New Jersey, U.S.A.
8. Greenberg, B.S., and Stokes, S.L. (1990). Developing an optimal call scheduling strategy for a telephone survey. Journal of Official Statistics, 6, 421-435.
9. Groves, R.M. (1989). Survey errors and survey costs, Wiley, New York, U.S.A.
10. Groves, R.M., and Couper, M.P. (1998). Nonresponse in Household Interview Surveys, Wiley series in probability and statistics, Survey methodology section.
11. Groves, R.M., Dillman, D., Eltinge, J. and Little, R. (2002). Survey Nonresponse, New York: Wiley Series in Probability and Statistics.
12. Groves, R.M., and Heeringa, S.G. (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.
13. Hartley, H.O., and Monroe, H. (1979). Interviewer assignments which minimize the effects of nonsampling errors. Proceedings of the Survey Research Methods Section, American Statistical Association, 216-220.
14. Heyd, J.M., and Carlin, B.P. (1999). Adaptive design improvements in the continual reassessment method for Phase I studies. Statistics in Medicine, 18, 1307-1321.
15. Kalsbeek, W.D., Botman, S.L., Massey, J.T. and Liu, P.W. (1994). Cost-efficiency and the number of allowable call attempts in the National Health Interview Survey. Journal of Official Statistics, 10, 133-152.
16. Kersten, H.M.P., and Bethlehem, J.G. (1984). Exploring and reducing the non-response bias by asking the basic question, BPA 627-84-M1, CBS, Voorburg.
17. Kulka, R.A., and Weeks, M.F. (1988). Towards the development of optimal calling protocols for telephone surveys: A conditional probabilities approach. Journal of Official Statistics, 4, 319-322.
18. Laflamme, F., and Karaganis, M. (2010). Implementation of responsive collection design for CATI surveys at Statistics Canada, Paper presented at Q2010, 3-6 May, Helsinki, Finland.
19. Luiten, A., and Schouten, B. (2013). Adaptive fieldwork design to increase representative household survey response. Journal of the Royal Statistical Society, Series A, 176, 1, 169-190.
20. Luiten, A., and Wetzels, W. (2009). Indicators and data collection control. Work plan and preliminary findings pilot Statistics Netherlands, RISQ deliverable 8.2, www.risq-project.eu.
21. Lyberg, L.E., Biemer, P., Collins, M., de Leeuw, E.D., Dippo, C., Schwarz, N. and Trewin, D. (1997). Survey measurement and process quality, Wiley Series in Probability and Statistics, Wiley, Hoboken, New Jersey, U.S.A.
22. Lynn, P. (2003). PEDAKSI: Methodology for Collecting Data about Survey Non-Respondents. Quality and Quantity, Vol. 37, No. 3, 239-261.
23. Mohl, C., and Laflamme, F. (2007). Research and responsive design options for survey data collection at Statistics Canada. Proceedings of ASA Joint Statistical Meeting, Section 293, July 29-August 2, Salt Lake City, U.S.A.
24. Moore, J. (1988). Self/Proxy response status and survey response quality. A review of literature. Journal of Official Statistics, 4, 2, 155-172.
25. Murphy, S.A. (2003). Optimal dynamic treatment regimes. Journal of the Royal Statistical Society, Series B, 65, 331-355.
26. Peytchev, A., Riley, S., Rosen, J., Murphy, J. and Lindblad, M. (2010). Reduction of Nonresponse Bias in Surveys through Case Prioritization, Survey Research Methods, 4, 1, 21-29.
27. Phillips, O., and Tabuchi, T. (2009). Responsive design for the survey of labour and income dynamics. Proceedings: Symposium 2009, Longitudinal Surveys: from design to analysis, Statistics Canada.
28. Särndal, C.-E. (2011a). Three factors to signal non-response bias with applications to categorical auxiliary variables. International Statistical Review, 79, 2, 233-254.
29. Särndal, C.-E. (2011b). The 2010 Morris Hansen Lecture: Dealing with survey nonresponse in data collection, in estimation. Journal of Official Statistics, 27, 1, 1-21.
30. Särndal, C.-E., and Lundström, S. (2010). Design for estimation: Identifying auxiliary vectors to reduce nonresponse bias. Survey Methodology, 36, 2, 131-144.
31. Schouten, B., Cobben, F. and Bethlehem, J. (2009). Indicators for the representativeness of survey response. Survey Methodology, 35, 1, 101-113.
32. Schouten, B., Luiten, A., Loosveldt, G., Beullens, K. and Kleven, Ø. (2010). Monitoring and changing data collection through R-indicators and partial R-indicators, RISQ Working paper. Available at www.risq-project.eu.
33. Schouten, J.G., Shlomo, N. and Skinner, C. (2011). Indicators for monitoring and improving representativeness of response. Journal of Official Statistics, 27, 2, 231-253.
34. Wagner, J. (2008). Adaptive survey design to reduce nonresponse bias, Ph.D. thesis, University of Michigan, U.S.A.
35. Zajonc, T. (2012). Bayesian inference for dynamic treatment regimes: Mobility, equity and efficiency in student tracking. Journal of the American Statistical Association, 107, 80-92.