Placement, wording, and interviewers: Identifying correlates of consent to link survey and administrative data

Survey Research Methods

Volumn 7, Issue 2, 2013, Pages 133-144

  Sakshaug, Joseph W ^a,b   Tutz, Valerie ^a,b   Kreuter, Frauke ^a,b,c  

^a INSTITUTE FOR EMPLOYMENT RESEARCH IAB   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Administrative data; Experiment; Informed consent; Record linkage

Indexed keywords

EID: 84875704529     PISSN: None     EISSN: 18643361     Source Type: Journal    
DOI: None     Document Type: Article

References (60)

1. Bem, J. (1972). Self-perception theory. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 6, p. 2-62). New York: Academic Press.
2. Bender, S., Fertig, M., Görlitz, K., Huber, M., & Schmucker, A. (2008). Well-unique linked employer-employee data on further training in germany (No. 67). Essen: Ruhr Economic Papers.
3. Blakely, T., & Salmond, C. (2002). Probabilistic record linkage and a method to calculate the positive predictive value. International Journal of Epidemiology, 31, 1246-1252.
4. Bryant, H., Robson, P., Ullman, R., Friedenreich, C., & Dawe, U. (2006). Population-based cohort development in alberta, canada: A feasibility study. Chronic Diseases in Canada, 27, 51-59.
5. Calderwood, L., & Lessof, C. (2009). Enhancing longitudinal surveys by linking to administrative data. In P. Lynn (Ed.), Methodology of longitudinal surveys (p. 55-72). New York: Wiley.
6. Cantor, D., & Cunningham, P. (2002). Methods for obtaining high response rates in telephone surveys. In Studies of Welfare Populations: Data Collection and Research Issues. Washington D.C.: National Academy Press.
7. Christoph, B., Mller, G., Gebhardt, D., Wenzig, C., Trappmann, M., Achatz, J., et al. (2008). Codebook and documentation of the panel study 'labour market and social security' (pass). Vol. 1: introduction and overview, wave 1 (2006/2007). Number 05.
8. Cialdini, R., Vincent, J., Lewis, S., Catalan, J., Wheeler, D., & Darby, B. (1975). Reciprocal concessions procedure for inducing compliance: The door-in-the-face technique. Journal of Personality and Social Psychology, 31, 206-215.
9. DeJong, W. (1979). An Examination of Self-Perception Mediation of the Foot-In-The-Door Effect. Journal of Personality and Social Psychology, 37(12), 2221-2239.
10. D'Orazio, M., DiZio, M., & Scanu, M. (2006). Statistical Matching: Theory and Practice. Wiley.
11. Dunn, K., Jordan, K., Lacey, R., Shapley, M., & Jinks, C. (2004). Patterns of consent in epidemiologic research: Evidence from over 25,000 responders. American Journal of Epidemiology, 159, 1087-1094.
12. Freedman, J., & Fraser, S. (1966). Compliance without pressure: The foot-in-the-door technique. Journal of Personality and Social Psychology, 42, 195-202.
13. General Accounting Office. (2001). Record linkage and privacy: Issues in creating new federal research and statistical information. Report of the General Accounting Office GAO-01-126SP.
14. Groves, R., Cialdini, R., & Couper, M. (1992). Understanding the decision to participate in a survey. Public Opinion Quarterly, 56, 475-495.
15. Groves, R., & Magilavy, L. (1981). Increasing response rates to telephone surveys: A door in the face for foot-in-the-door? Public Opinion Quarterly, 45, 346-358.
16. Groves, R., Presser, S., & Dipko, S. (2004). The role of topic interest in survey participation decisions. Public Opinion Quarterly, 68, 2-31.
17. Groves, R., Singer, E., & Corning, A. (2000). Leverage-Salience Theory of survey participation: Description and an illustration. Public Opinion Quarterly, 64, 299-308.
18. Gustman, A., & Steinmeier, T. (2005). The social security early entitlement age in a structural model of retirement and wealth. Journal of Public Economics, 89, 441-463.
19. Hogan, C., Lunney, J., Gabel, J., & Lynn, J. (2001). Medicare beneficiaries' costs of care in the last year of life. Health Affiairs, 20, 188-195.
20. Houtkoop-Steenstra, H., & Van den Bergh, H. (2000). Effects of introductions in large-scale telephone survey interviews. Sociological Methods and Research, 28, 281-300.
21. Hox, J., & De Leeuw, E. (2002). The influence of interviewers' attitude and behavior on household survey nonresponse: An international comparison. In R. M. Groves, D. A. Dillman, J. L. Eltinge, & R. J. A. Little (Eds.), Survey nonresponse (p. 103-120). New York: Wiley and Sons, Inc.
22. Huang, N., Shih, S., Chang, H., & Chou, Y. (2007). Record linkage research and informed consent: Who consents? BMC Health Services Research 7.
23. Hurd, M., & Zissimopoulos, J. (2003). Saving for retirement: Wage growth and unexpected events. Research Paper WP-2003-045, Michigan Retirement Research Center.
24. Jaro, M. (1995). Probabilistic linkage of large public health data files. Statistics in Medicine, 14, 491-498.
25. Jenkins, S. P., Cappellari, L., Lynn, P., Jäckle, A., & Sala, E. (2006). Patterns of consent: evidence from a general household survey. Journal of the Royal Statistical Society, Series A 169, 701-722.
26. John, O., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement, and theoretical perspectives. In L. Pervin & O. Johns (Eds.), Handbook of Personality: Theory and Research (2nd ed., p. 102-138). New York: Guilford.
27. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263-292.
28. Knies, G., Burton, J., & Sala, E. (2012). Consenting to health record linkage: evidence from a multipurpose longitudinal survey of a general population. BMC Health Services Research 12.
29. Kohut, A., Keeter, S., Doherty, C., & Dimock, M. (2012). Assessing the representativeness of public opinion surveys. Technical report, The Pew Research Center for the People & the Press, Washington DC. www.people-press.org/files/legacypdf /Assessing%20the%20Representativeness%20of%20Public %20Opinion%20Surveys.pdf.
30. Korbmacher, J., & Schroeder, M. (2013). Consent when linking survey data with administrative records: The role of the interviewer. Survey Research Methods, 7(2).
31. Kreuter, F., Eckman, S., Jaeckle, A., Kirchner, A., Presser, S., & Tourangeau, R. (2012). Mechanisms of misreporting to filter questions. Paper presented at the annual meeting of the American Association for Public Opinion Research. May 17, 2012. Orlando. Florida.
32. Kreuter, F., Mller, G., & Trappmann, M. (2010). Nonresponse and measurement error in employment research: making use of administrative data. Public Opinion Quarterly, 74, 880-906.
33. Lillard, L., & Farmer, M. (1997). Linking medicare and national survey data. Annals of Internal Medicine, 127, 691-695.
34. Lubitz, J., Cai, L., Kramarow, E., & Lentzner, H. (2003). Health, life expectancy, and health care spending among the elderly. New England Journal of Medicine, 349, 1048-1055.
35. Moriarity, C., & Scheuren, F. (2001). Statistical matching: A paradigm for assessing the uncertainty in the procedure. Journal of Official Statistics, 17(3), 407-422.
36. Oberschachtsiek, D., Scioch, P., Seysen, C., & Heining, J. (2009). Stichprobe der Integrierten Erwerbsbiografien IEBS: Handbuch für die IEBS in der Fassung 2008. FDZ Datenreport 03/209, IAB, Nürnberg.
37. O'Keefe, T., & Homer, P. (1987). Selecting cost-effective survey methods: Foot-in-the-door and prepaid monetary incentives. Journal of Business Research, 15(4), 365-376.
38. Olson, J. (1999). Linkages with data from social security administration records in the health and retirement study. Social Security Bulletin, 62(2), 73-85.
39. Olson, K. (2006). Survey participation, nonresponse bias, measurement error bias, and total bias. Public Opinion Quarterly, 70(5), 737-758.
40. Peikes, D., Chen, A., Schore, J., & Brown, R. (2009). Effects of care coordination on hospitalization, quality of care, and health care expenditures among medicare beneficiaries. Journal of the American Medical Association, 301, 603-618.
41. Pinheiro, J., Bates, D., DebRoy, S., & Sarkar, D. (2004). nlme: Linear and nonlinear mixed effects models. R Package version 3.1-104.
42. Pliner, P., Hart, H., Kohl, J., & Saari, D. (1974). Compliance without pressure: Some further data on the foot-in-the-door technique. Journal of Experimental Social Psychology, 10(1), 17-22.
43. Rubin, D. (1986). Statistical matching using file concatenation with adjusted weights and multiple imputations. Journal of Business and Economic Statistics, 4(1), 87-94.
44. Sakshaug, J., & Kreuter, F. (2012). Assessing the magnitude of nonconsent biases in linked survey and administrative data. Survey Research Methods, 6(2), 113-122.
45. Sakshaug, J.W., Couper, M. P., Ofstedal, M. B., &Weir, D. (2012). Linking survey and administrative records: Mechanisms of consent. Sociological Methods and Research, 41, 535-569.
46. Sakshaug, J. W., Yan, T., & Tourangeau, R. (2010). Nonresponse error, measurement error, and mode of data collection: Tradeoffs in a multi-mode survey of sensitive and non-sensitive items. Public Opinion Quarterly, 74, 907-933.
47. Sala, E., Burton, J., & Knies, G. (2012). Correlates of obtaining informed consent to data linkage: respondents, interview, and interviewer characteristics. Sociological Methods and Research, 41, 414-439.
48. Schnell, R. (2011). Survey-Interviews: Methoden standardisierter Befragungen. VS-Verlag.
49. Schnell, R., Bachteler, T., & Reiher, J. (2009). Privacy-preserving record linkage using bloom filters. BMC Medical Informatics and Decision Making, 9(41).
50. Scholz, J., Seshadri, A., & Khitatrakun, S. (2006). Are americans saving 'optimally' for retirement? Journal of Political Economy, 114, 607-643.
51. Singer, E. (1993). Informed consent and survey response: A summary of the empirical literature. Journal of Official Statistics, 9, 361-375.
52. Singer, E., Frankel, M. R., & Glassman, M. B. (1983). The Effect of Interviewer Characteristics and Expectations on Response. Public Opinion Quarterly, 47(1), 68-83.
53. Singer, E., Hippler, H.-J., & Schwarz, N. (1992). Confidentiality assurances in surveys: Reassurance or threat? International Journal of Public Opinion Research, 4, 256-268.
54. Singer, E., Von Thurn, D., & Miller, E. (1995). Confidentiality assurances and response: A quantitative review of the experimental literature. Public Opinion Quarterly, 59, 66-77.
55. The American Association for Public Opinion Research. (2011). Standard definitions: final dispositions of case codes and outcomes rates for surveys. Technical report. http://aapor.org/Content/NavigationMenu/AboutAAPOR/ StandardsampEthics /StandardDefinitions/StandardDefinitions2011. pdf.
56. Tourangeau, R., Groves, R., Kennedy, C., & Yan, T. (2009). The presentation of a web survey, nonresponse and measurement error among members of a web panel. Journal of Official Statistics, 25, 299-321.
57. Tourangeau, R., & Ye, C. (2009). The framing of the survey request and panel attrition. Public Opinion Quarterly, 73, 338-348.
58. Winkler, W. (1995). Matching and record linkage. In B. Cox et al. (Eds.), Business survey methods (p. 355-384). New York: Wiley.
59. Yan, T., Conrad, F., Tourangeau, R., & Couper, M. (2010). Should i stay or should i go? The effects of progress feedback, promised task duration, and length of the questionnaire on completing web surveys. International Journal of Public Opinion Research, 23, 131-147.
60. Yawn, B., Yawn, R., Geier, G., Xia, Z., & Jacobsen, S. (1998). The impact of requiring patient authorization for use of data in medical records research. Journal of Family Practice, 47, 362-365.