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The Representativeness of Online Time Use Surveys. Effects of Individual Time Use Patterns and Survey Design on the Timing of Survey Dropout


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(5): 676–703. DOI: https://doi.org/10.1093/poq/nfl037.10.1093/poq/nfl037Search in Google Scholar

Bethlehem, J. 2009. “The Rise of Survey Sampling.” Statistics Netherlands. Discussion Paper (09015). Available at: https://www.cbs.nl/-/media/imported/documents/2009/07/2009-15-x10-pub.pdf?la=nl-nl&hash=B75A64DF0877B7FD089E796FCFE81145 (accessed August 2020).Search in Google Scholar

Boström, G., J. Hallqvist, B.J.A. Haglund, A. Romelsjö, L. Svanström, and F. Diderichsen. 1993. “Socioeconomic Differences in Smoking in an Urban Swedish Population. The Bias Introduced by Non-Participation in a Mailed Questionnaire.” Scandinavian Journal of Public Health 21(2): 77–82. DOI: https://doi.org/10.1177/140349489302100204.10.1177/140349489302100204Search in Google Scholar

Connelly, N.A., T.L. Brown, and D.J. Decker. 2003. “Factors Affecting Response Rates to Natural Resource – Focused Mail Surveys: Empirical Evidence of Declining Rates Over Time.” Society & Natural Resources 16(6): 541–549. DOI: https://doi.org/10.1080/08941920309152.10.1080/08941920309152Search in Google Scholar

Couper, M.P., A. Kapteyn, M. Schonlau, and J. Winter. 2007. “Noncoverage and Nonresponse in an Internet Survey.” Social Science Research 36(1): 131–148. DOI: https://doi.org/10.1016/j.ssresearch.2005. in Google Scholar

Cull, W.L., K.G.O. Connor, S. Sharp, and S.S. Tang. 2005. “Methods Response Rates and Response Bias for 50 Surveys of Pediatricians.” HSR: Health Services Research 40(1): 213–226. DOI: https://doi.org/10.1111/j.1475-6773.2005.00350.x.10.1111/j.1475-6773.2005.00350.xSearch in Google Scholar

Curtin, R., S. Presser, and E. Singer. 2000. “The Effects of Response Rate Changes on the Index of Consumer Sentiment.” Public Opinion Quarterly 64(4): 413–428. DOI: https://doi.org/10.1086/318638.10.1086/318638Search 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), 1–18. DOI: https://doi.org/10.1016/j.ssresearch.2008. in Google Scholar

Etter, J.-F., and T.V. Perneger. 1997. “Analysis of Non-Response Bias in a Mailed Health Survey.” Journal of Clinical Epidemiology 50(10): 1123–1128. DOI: https://doi.org/10.1016/S0895-4356(97)00166-2.10.1016/S0895-4356(97)00166-2Search in Google Scholar

Goyder, J. 1986. “Surveys on Surveys: Limitations and Potentialities.” Public Opinion Quarterly 50(1): 27–41. DOI: https://doi.org/10.1086/268957.10.1086/268957Search in Google Scholar

Goyder, J., K. Warriner, and S. Miller. 2002. “Evaluating Socio-Economic Status (SES) Bias in Survey Nonresponse.” Journal of Official Statistics 18(1): 1–11. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/evaluating-socio-economic-status-ses-bias-in-survey-nonresponse.pdf (accessed September 2020).Search in Google Scholar

Groves, R.M., and M.P. Couper. 1998. Nonresponse in Household Interview Surveys. New York (NY): John Wiley. DOI: https://doi.org/10.1525/aa.1999.101.3.699.10.1525/aa.1999.101.3.699Search in Google Scholar

Hill, A., J. Roberts, P. Ewings, and D. Gunnell. 1997. “Non-Response Bias in a Lifestyle Survey.” Journal of Public Health 19(2): 203–207. DOI: https://doi.org/10.1093/oxfordjournals.pubmed.a024610.10.1093/oxfordjournals.pubmed.a0246109243437Search in Google Scholar

Hochschild, A., and A. Machung. 2003. The Second Shift: Working Families and the Revolution at Home. New York (NY): Penguin.Search in Google Scholar

Johnson, T.P., and J.S. Wislar. 2012. “Response Rates and Nonresponse Errors in Surveys.” JAMA: The Journal of the American Medical Association 307(17): 1805–1806. DOI: https://doi.org/10.1001/jama.2012.3532.10.1001/jama.2012.353222550194Search in Google Scholar

Knulst, W., and A. van den Broek. 1998. “Do Time-Use Surveys Succeed in Measuring ‘Busyness’? Some Observations of the Dutch Case.” Loisir et Société / Society and Leisure 21(2): 563–572. DOI: https://doi.org/10.1080/07053436.1998.10753671.10.1080/07053436.1998.10753671Search in Google Scholar

Kwak, N., and B. Radler. 2002. “A Comparison Between Mail and Web Surveys: Response Pattern, Respondent Profile, and Data Quality.” Journal of Official Statistics 18(2): 257–273. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/a-comparison-between-mail-and-web-surveys-response-pattern-respondent-profile-and-data-quality.pdf (accessed September 2020).Search in Google Scholar

Marcus, B., M. Bosnjak, S. Lindner, S. Pilischenko, and A. Schutz. 2007. “Compensating for Low Topic Interest and Long Surveys: A Field Experiment on Nonresponse in Web Surveys.” Social Science Computer Review 25(3): 372–383. DOI: https://doi.org/10.1177/0894439307297606.10.1177/0894439307297606Search in Google Scholar

Minnen, J., I. Glorieux, T.P. van Tienoven, D. Weenas, J. Deyaert, S. van den Bogaert, and S. Rymenants. 2014. “Modular Online Time Use Survey (MOTUS) – Translating an existing method in the 21st century.” Electronic International Journal of Time Use Research, 11(1), 73–93. DOI: https://doi.org/10.13085/eIJTUR.11.1.73-93.10.13085/eIJTUR.11.1.73-93Search in Google Scholar

Moore, D.L., and J. Tarnai. 2001. “Evaluating Nonresponse Error in Mail Surveys.” In Survey Nonresponse, edited by R.M. Groves, D.A. Dillman, J.L. Eltinge, and R.J.A. Little, 197–212. New York (NY): Wiley.Search in Google Scholar

Pääkkönen, H. 1998. “Are Busy People Under- or over-Represented in National Time Budget Surveys?” Loisir et Société / Society and Leisure 21(2): 573–582. DOI: https://doi.org/10.1080/07053436.1998.10753672.10.1080/07053436.1998.10753672Search in Google Scholar

Porter, S.R., and M.E. Whitcomb. 2005. “Non-Response in Student Surveys: The Role of Demographics, Engagement and Personality.” Research in Higher Education 46(2): 127–152. DOI: https://doi.org/10.1007/s11162-004-1597-2.10.1007/s11162-004-1597-2Search in Google Scholar

Savage, M., and R. Burrows. 2009. “Some Further Reflections on the Coming Crisis of Empirical Sociology.” Sociology 43(4): 762–772. DOI: https://doi.org/10.1177/0038038509105420.10.1177/0038038509105420Search in Google Scholar

Sax, L.J., S.K. Gilmartin, and A.N. Bryant. 2003. “Assessing Response Rate and Nonreponse Bias in Web and Paper Surveys.” Research in Higher Education 44(4): 409–432. DOI: https://doi.org/10.1023/A:1024232915870.10.1023/A:1024232915870Search in Google Scholar

Singer, E., R.M. Groves, and A.D. Corning. 1999. “Differential Incentives: Beliefs About Practices, Perceptions of Equity, and Effects on Survey Participation.” Public Opinion Quarterly 63(2): 251–260. DOI: https://doi.org/10.1086/297714.10.1086/297714Search in Google Scholar

Singer, E., J. van Hoewyk, and M.P. Maher. 2000. “Experiments with Incentives in Telephone Surveys.” Public Opinion Quarterly 64(2): 171–188. DOI: https://doi.org/10.1086/317761.10.1086/31776110984332Search in Google Scholar

Singer, J.D., and J.B. Willett. 2003. Applied Longitudinal Data Analysis. Modeling Change and Event Occurrence. New York (NY): Oxford University Press.10.1093/acprof:oso/9780195152968.001.0001Search in Google Scholar

Smith, C., and D. Nutbeam. 1990. “Assessing Non-Response Bias: A Case Study from the 1985 Welsh Heart Health Survey.” Health Education Research 5(3): 381–386. DOI: https://doi.org/10.1093/her/5.3.381.10.1093/her/5.3.381Search in Google Scholar

Smith, W.G. 2008. “Does Gender Influence Online Survey Participation? A Record-Linkage Analysis of University Faculty Online Survey Response Behavior.” Available at: https://files.eric.ed.gov/fulltext/ED501717.pdf (accessed August 2020).Search in Google Scholar

Szalai, A. 1966. “Trends in Comparative Time-Budget Research.” American Behavioral Scientist 9(9): 3–8. DOI: https://doi.org/10.1177/000276426600900901.10.1177/000276426600900901Search in Google Scholar

Van Ingen, E., I. Stoop, and K. Breedveld. 2008. “Nonresponse in the Dutch Time Use Survey: Strategies for Response Enhancement and Bias Reduction.” Field Methods 21(1): 69–90. DOI: https://doi.org/10.1177/1525822X08323099.10.1177/1525822X08323099Search in Google Scholar

Van Kenhove, P., K. Wijnen, and K. de Wulf. 2000. “The Influence of Topic Involvement on Mail-Survey Response Behavior.” Psychology & Marketing 19(3): 293–301. DOI: https://doi.org/10.1002/mar.1053.10.1002/mar.1053Search in Google Scholar

Wallace, D. 1954. “A Case For- and Against- Mail Questionnaires.” Public Opinion Quarterly 18(1): 40–52. DOI: https://doi.org/10.1086/266484.10.1086/266484Search in Google Scholar

Zuzanek, J. 1998. “Non-Response in Time-Use Surveys: Do the Two Ends Meet?” Loisir et Société / Society and Leisure 21(2): 547–549. DOI: https://doi.org/10.1080/07053436.1998.10753668.10.1080/07053436.1998.10753668Search in Google Scholar

Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Mathematics, Probability and Statistics