[AAPOR, The American Association for Public Opinion Research. 2011. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 7th edition.]Search in Google Scholar
[Abraham, K.G., A. Maitland, and S.M. Bianchi. 2006. “Nonresponse in the American Time Use Survey. Who is Missing from the Data and How Much Does it Matter?” Public Opinion Quarterly 70: 676–703. Doi: http://dx.doi.org/10.1093/poq/nfl037.10.1093/poq/nfl037]Open DOISearch in Google Scholar
[Atkeson, L.R., A.N. Adams, and M.R. Alvarez. 2014. “Nonresponse and Mode Effects in Self- and Interviewer-Administered Surveys.” Political Analysis 22: 304–320. Doi: http://dx.doi.org/10.1093/pan/mpt049.10.1093/pan/mpt049]Open DOISearch in Google Scholar
[Atkeson, L.R., A.N. Adams, L.A. Bryant, L. Zilberman, and K.L. Saunders. 2011. “Considering Mixed Mode Surveys for Questions in Political Behavior: Using the Internet and Mail to Get Quality Data at Reasonable Costs.” Political Behavior 33: 161–178. Doi: http://dx.doi.org/10.1007/s11109-010-9121-1.10.1007/s11109-010-9121-1]Open DOISearch in Google Scholar
[Bethlehem, J. 2010. “Selection Bias in Web Surveys.” International Statistical Review 78: 161–188. Doi: http://dx.doi.org/10.1111/j.1751-5823.2010.00112.x.10.1111/j.1751-5823.2010.00112.x]Open DOISearch in Google Scholar
[Biemer, P.P. 2010. “Overview of Design Issues: Total Survey Error.” In Handbook of Survey Research, edited by P.V. Marsden and J.D. Wright, 27–57. Bingley: Emerald.]Search in Google Scholar
[Biemer, P.P. and L.E. Lyberg. 2003. Introduction to Survey Quality. New York: Wiley.10.1002/0471458740]Search in Google Scholar
[Bound, J. and A.B. Krueger. 1991. “The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?” Journal of Labor Economics 9: 1–24. Doi: http://dx.doi.org/10.3386/w2885.10.3386/w2885]Open DOISearch in Google Scholar
[Bradburn, N., S. Sudman, and B. Wansink. 2004. Asking Questions. Revised Edition. San Francisco: Jossey-Bass.]Search in Google Scholar
[Braunsberger, K., H. Wybenga, and R. Gates. 2007. “A Comparison of Reliability Between Telephone and Web-Based Surveys.” Journal of Business Research 60: 758–764. Doi: http://dx.doi.org/10.1016/j.jbusres.2007.02.015.10.1016/j.jbusres.2007.02.015]Open DOISearch in Google Scholar
[Callegaro, M., R.P. Baker, J. Bethlehem, A.S. Göritz, J.A. Krosnick, and P.J. Lavrakas. 2014. Online Panel Research. A Data Quality Perspective. Chichester: Wiley.10.1002/9781118763520]Search in Google Scholar
[Chang, L. and J.A. Krosnick. 2009. “National Surveys via RDD Telephone Interviewing Versus the Internet. Comparing Sample Representativeness and Response Quality.” Public Opinion Quarterly 73: 641–678. Doi: http://dx.doi.org/10.1093/poq/nfp075.10.1093/poq/nfp075]Open DOISearch in Google Scholar
[Chang, L. and J.A. Krosnick. 2010. “Comparing Oral Interviewing With Self-Administered Computerized Questions: An Experiment.” Public Opinion Quarterly 74: 154–167. Doi: http://dx.doi.org/10.1093/poq/nfp090.10.1093/poq/nfp090]Open DOISearch in Google Scholar
[De Leeuw, E.D. 2005. “To Mix or Not to Mix Data Collection Modes in Surveys.” Journal of Official Statistics 21: 233–255.]Search in Google Scholar
[De Leeuw, E.D., D.A. Dillman, and J.J. Hox. 2008. “Mixed-Mode Surveys: When and Why.” In International Handbook of Survey Methodology, edited by E.D. de Leeuw, J.J. Hox, and D.A. Dillman, 299–316. New York: Erlbaum/Taylor & Francis.]Search in Google Scholar
[De Rada, V.D. and S.P. del Amo. 2014. “Two Are Better Than One: The Use of a Mixed-Mode Data Collection to Improve the Electoral Forecast.” Survey Practice 7: 1–6. Doi: http://dx.doi.org/10.29115/SP-2014-0003.10.29115/SP-2014-0003]Search in Google Scholar
[Dillman, D.A., J.L. Eltinge, R.M. Groves, and R.J.A. Little. 2002. “Survey Nonresponse in Design, Data Collection and Analysis.” In Survey Nonresponse, edited by R.M. Groves, D.A. Dillman, J.L. Eltinge, and R.J.A. Little, 3–26. New York: Wiley.]Search in Google Scholar
[Dillman, D.A., G. Phelps, R. Tortora, K. Swift, J. Kohrell, J. Berck, and B.L. Messer. 2009. “Response Rate and Measurement Differences in Mixed-Mode Surveys Using Mail, Telephone, Interactive Voice Response (IVR) and the Internet.” Social Science Research 38: 1–18. Doi: http://dx.doi.org/10.1016/j.ssresearch.2008.03.007.10.1016/j.ssresearch.2008.03.007]Open DOISearch in Google Scholar
[Duffy, B., K. Smith, G. Terhanian, and J. Bremer. 2005. “Comparing Data from Online and Face-to-Face Surveys.” International Journal of Market Research 47: 615–639. Doi: http://doi.org/10.1177/147078530504700602.10.1177/147078530504700602]Open DOISearch in Google Scholar
[Duncan, G. and D. Hill. 1985. “An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data.” Journal of Labor Economics 3: 508–532. Doi: http://dx.doi.org/10.1086/298067.10.1086/298067]Open DOISearch in Google Scholar
[Eckman, S., F. Kreuter, A. Kirchner, A. Jäckle, S. Presser, and R. Tourangeau. 2014. “Assessing the Mechanisms of Misreporting to Filter Questions in Surveys.” Public Opinion Quarterly 78: 721–733. Doi: http://dx.doi.org/10.1093/poq/nfu030.10.1093/poq/nfu030]Open DOISearch in Google Scholar
[Fricker, S., M. Galesic, R. Tourangeau, and T. Yan. 2005. “An Experimental Comparison of Web and Telephone Surveys.” Public Opinion Quarterly 6: 370–392. Doi: http://dx.doi.org/10.1093/poq/nfi027.10.1093/poq/nfi027]Open DOISearch in Google Scholar
[Groves, R.M. 2004. Survey Error and Survey Costs. Hoboken: Wiley & Sons.]Search in Google Scholar
[Groves, R.M. 2006. “Nonresponse Rates and Nonresponse Bias in Household Surveys.” Public Opinion Quarterly 70: 646–675. Doi: http://dx.doi.org/10.1093/poq/nfl033.10.1093/poq/nfl033]Open DOISearch in Google Scholar
[Groves, R.M. and M. Couper. 1998. Nonresponse in Household Interview Surveys. Wiley Series in Probability and Statistics: Survey Methodology Section. New York: Wiley.10.1002/9781118490082]Search in Google Scholar
[Hope, S., P. Campanelli, G. Nicolaas, P. Lynn, and A. Jäckle. 2014. “The Role of the Interviewer in Producing Mode Effects: Results from a Mixed Modes Experiment Comparing Face-to-Face, Telephone and Web Administration.” ISER Working Paper Series No. 2014-20: 1–41. Available at: http://hdl.handle.net/10419/123808 (accessed December 2014).]Search in Google Scholar
[IAB (Institut für Arbeitsmarkt- und Berufsforschung). 2011. Nuremberg: Integrierte Erwerbsbiographien (IEB) V09.00.]Search in Google Scholar
[IAB (Institut für Arbeitsmarkt- und Berufsforschung). 2012. Nuremberg: Leistungshistorik Grundsicherung (LHG), Version 06.06.]Search in Google Scholar
[IAB (Institut für Arbeitsmarkt- und Berufsforschung). 2013. Nuremberg: Beschäftigtenhistorik (BeH), Version 09.03.00.]Search in Google Scholar
[Jacobebbinghaus, P. and S. Seth. 2007. “The German Integrated Employment Biographies Sample IEBS.” Schmollers Jahrbuch 127: 335–342.]Search in Google Scholar
[Kreuter, F. and K. Olson. 2011. “Multiple Auxiliary Variables in Nonresponse Adjustment.” Sociological Methods & Research 40: 311–332. Doi: http://dx.doi.org/10.1177/0049124111400042.10.1177/0049124111400042]Open DOISearch in Google Scholar
[Kreuter, F., K. Olson, J. Wagner, T. Yan, T. Ezatti-Rice, C. Casas-Cordero, A. Petychev, R. M. Groves, and T. Raghuatan. 2010. “Using Proxy Measures and Other Correlates of Survey Outcomes to Adjust for Non-Response: Examples from Multiple Surveys.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 173: 389–407. Doi: http://dx.doi.org/10.1111/j.1467-985X.2009.00621.x.10.1111/j.1467-985X.2009.00621.x]Open DOISearch in Google Scholar
[Kreuter, F., S. Presser, and R. Tourangeau. 2008. “Social Desirability Bias in CATI, IVR, and Web Surveys. The Effects of Mode and Question Sensitivity.” Public Opinion Quarterly 72: 847–865. Doi: http://dx.doi.org/10.1093/poq/nfn063.10.1093/poq/nfn063]Open DOISearch in Google Scholar
[Lee, R.M. 1993. Doing Research on Sensitive Topics. London: Sage.]Search in Google Scholar
[Letourneau, P.M. and A.A. Zbikowski. 2008. “Nonresponse in the American Time Use Survey.” In Proceedings of the Section on Survey Research Methods: American Statistical Association, August 4, 2008. 1283–1290. Denver, CO: American Statistical Association. Available at: http://ww2.amstat.org/sections/srms/Proceedings/y2008/Files/300982.pdf (accessed April 2018).]Search in Google Scholar
[Lozar Manfreda, K., M. Bosnjak, J. Berzelak, I. Haas, and V. Vehovar. 2008. “Web Surveys Versus Other Survey Modes. A Meta-Analysis Comparing Response Rates.” International Journal of Market Research 50: 79–104. Doi: http://dx.doi.org/10.1177/147078530805000107.10.1177/147078530805000107]Open DOISearch in Google Scholar
[Malhotra, N., J.M. Miller, and J. Wedeking. 2014. “The Relationship Between Nonresponse Strategies and Measurement Error. Comparing Online Panels to Traditional Surveys.” In Online Panel Research. A Data Quality Perspective, edited by M. Callegaro, R. Baker, J. Bethlehem, A.S. Göritz, J. Krosnick, and P.J. Lavrakas, 313–336. Chichester: Wiley.10.1002/9781118763520.ch14]Search in Google Scholar
[McCabe, S.E., C.J. Boyd, M.P. Couper, S. Crawford, and H. D’Arcy. 2002. “Mode Effects for Collecting Alcohol and Other Drug Use Data: Web and U.S. Mail.” Journal of Studies on Alcohol 63: 755–761. Doi: http://dx.doi.org/10.15288/jsa.2002.63.755.10.15288/jsa.2002.63.75512529076]Search in Google Scholar
[Olson, K. 2013. “Do Non-Response Follow-Ups Improve or Reduce Data Quality? A Review of the Existing Literature.” Journal of the Royal Statistical Society Series A (Statistics in Society) 176: 129–145. Doi: http://dx.doi.org/10.1111/j.1467-985X.2012.01042.x.10.1111/j.1467-985X.2012.01042.x]Open DOISearch in Google Scholar
[O’Neill, G. and J. Dixon. 2005. “Nonresponse Bias in the American Time Use Survey.” In Proceedings of the Section on Survey Research Methods: American Statistical Association, August 10, 2005. 2958–2966. Minneapolis, MN: American Statistical Association. Available at: http://ww2.amstat.org/sections/srms/Proceedings/y2005/Files/JSM2005-000193.pdf (accessed April 2018).]Search in Google Scholar
[Roberts, C., N. Allum, and P. Sturgis. 2014. “Nonresponse and Measurement Error in an Online Panel. Does Additional Effort to Recruit Reluctant Respondents Result in Poorer Data Quality?” In Online Panel Research. A Data Quality Perspective, edited by M. Callegaro, R. Baker, J. Bethlehem, A.S. Göritz, J. Krosnick, and P.J. Lavrakas, 337–362. Chichester: Wiley.10.1002/9781118763520.ch15]Search in Google Scholar
[Rodgers, W.L., C. Brown, and G.J. Duncan. 1993. “Errors in Survey Reports of Earnings, Hours Worked, and Hourly Wages.” Journal of the American Statistical Association 88: 1208–1218. Doi: http://dx.doi.org/10.1080/01621459.1993.10476400.10.1080/01621459.1993.10476400]Open DOISearch in Google Scholar
[Sakshaug, J.W. and F. Kreuter. 2012. “Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data.” Survey Research Methods 6: 113–122. Doi: http://dx.doi.org/10.18148/srm/2012.v6i2.5094.]Search in Google Scholar
[Sakshaug, J.W., T. Yan, and R. Tourangeau. 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. Doi: http://dx.doi.org/10.1093/poq/nfq057.10.1093/poq/nfq057]Open DOISearch in Google Scholar
[Sanders, D., H.D. Clarke, M.C. Stewart, and P. Whiteley. 2007. “Does Mode Matter for Modelling Political Choice? Evidence from the 2005 British Election Study.” Political Analysis 15: 257–285. Doi: http://dx.doi.org/10.1093/pan/mpl010.10.1093/pan/mpl010]Open DOISearch in Google Scholar
[Sax, L.J., S.K. Gilmartin, and A.N. Bryant. 2003. “Assessing Response Rates and Nonresponse Bias in Web and Paper Surveys.” Research in Higher Education 44: 409–432. Doi: http://dx.doi.org/10.1023/A:1024232915870.10.1023/A:1024232915870]Open DOISearch in Google Scholar
[Schouten, B., F. Cobben, P. Lundquist, and J. Wagner. 2016. “Does More Balanced Survey Response Imply Less Non-Response Bias?” Journal of the Royal Statistical Society: Series A (Statistics in Society) 179: 727–748. Doi: http://dx.doi.org/10.1111/rssa.12152.10.1111/rssa.12152]Open DOISearch in Google Scholar
[Statistisches Bundesamt. 2013. Wirtschaftsrechnungen. Private Haushalte in der Informationsgesellschaft – Nutzung von Informations – und Kommunikationstechnologien. Wiesbaden, Germany: Statistisches Bundesamt.]Search in Google Scholar
[Stephenson, L.B. and J. Cre^te. 2011. “Studying Political Behavior: A Comparison of Internet and Telephone Surveys.” International Journal of Public Opinion Research 23: 24–55. Doi: http://dx.doi.org/10.1093/ijpor/edq025.10.1093/ijpor/edq025]Open DOISearch in Google Scholar
[Vannieuwenhuyze, J., G. Loosveldt, and G. Molenberghs. 2010. “A Method for Evaluating Mode Effects in Mixed-Mode Surveys.” Public Opinion Quarterly 74: 1027–1045. Doi: http://dx.doi.org/10.1093/poq/nfq059.10.1093/poq/nfq059]Open DOISearch in Google Scholar
[Yeager, D.S., J.A. Krosnick, L. Chang, H.S. Javitz, M.S. Levendusky, A. Simpser, and R. Wang. 2011. “Comparing the Accuracy of RDD Telephone Surveys and Internet Surveys Conducted with Probability and Non-Probability Samples.” Public Opinion Quarterly 75: 709–747. Doi: http://dx.doi.org/10.1093/poq/nfr020.10.1093/poq/nfr020]Open DOISearch in Google Scholar