1. bookVolume 38 (2022): Issue 4 (December 2022)
    Special Issue on Respondent Burden
Journal Details
License
Format
Journal
eISSN
2001-7367
First Published
01 Oct 2013
Publication timeframe
4 times per year
Languages
English
Open Access

Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design

Published Online: 03 Dec 2022
Volume & Issue: Volume 38 (2022) - Issue 4 (December 2022) - Special Issue on Respondent Burden
Page range: 987 - 1017
Received: 01 Dec 2020
Accepted: 01 Mar 2022
Journal Details
License
Format
Journal
eISSN
2001-7367
First Published
01 Oct 2013
Publication timeframe
4 times per year
Languages
English

Allum, N., F. Conrad, and A. Wenz. 2018. “Consequences of Mid-Stream Mode-Switching in a Panel Survey.” Survey Research Methods 12: 43–58. DOI: https://doi.org/10.18148/srm/2018.v12i1.6779. Search in Google Scholar

Antoun, C. 2015. Who are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences Across Internet-Use Subgroups in the U.S.” In Mobile Research Methods: Opportunities and Challenges of Mobile Research Methodologies by D. Toninelli, R. Pinter, and P. Pedraza: 99–117. Ubiquity Press. DOI: http://dx.doi.org/10.5334/bar.g.10.5334/bar.g Search in Google Scholar

Antoun, C., and A. Cernat. 2020. “Factors Affecting Completion Times: A Comparative Analysis of Smartphone and PC Web Surveys.” Social Science Computer Review 38: 477–489. DOI: https://doi.org/10.1177/0894439318823703. Search in Google Scholar

Antoun, C., F.G. Conrad, M.P. Couper, and T.B. West. 2019. “Simultaneous Estimation of Multiple Sources of Error in a Smartphone-Based Survey.” Journal of Survey Statistics and Methodology 7: 93–117. DOI: https://doi.org/10.1093/jssam/smy002. Search in Google Scholar

Antoun, C., M.P. Couper, and F.G. Conrad. 2017. “Effects of Mobile versus PC Web on Survey Response Quality.” Public Opinion Quarterly 81: 280 – 306. DOI: https://doi.org/10.1093/poq/nfw088. Search in Google Scholar

Antoun, C., J. Katz, J. Argueta, and L. Wang. 2018. “Design Heuristics for Effective Smartphone Questionnaires.” Social Science Computer Review 36: 557–574. DOI: https://doi.org/10.1177/0894439317727072. Search in Google Scholar

Baron, R.M. and D.A. Kenny. 1986. “The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations.” Journal of Personality and Social Psychology 51: 1173–1182. DOI: https://doi.org/10.1037/0022-3514.51.6.1173. Search in Google Scholar

Bosnjak, M., G. Metzger, and L. Gräf. 2010. “Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective, Hedonic, Social, Self-Expressive, and Trust-Related Factors.” Social Science Computer Review 28: 350–370. DOI: https://doi.org/10.1177/0894439309353395. Search in Google Scholar

Bradburn, N. 1978. Respondent burden. Health Survey Research Methods, DHEW Publication No. 79-3207: 35–40. Washington, DC: U.S. Department of Health, Education, and Welfare. Available at: http://www.asasrms.org/Proceedings/papers/1978_007.pdf (accessed March 2022). Search in Google Scholar

Buskirk, T.D., and C. Andrus. 2012. “Online Surveys Aren’t Just for Computers Anymore! Exploring Potential Mode Effects between Smartphone vs. Computer-based Online Surveys”. In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association: 5678–5691. Available at: http://www.asasrms.org/Proceedings/y2012f.html (accessed March 2022). Search in Google Scholar

Buskirk, T.D. and C. Andrus. 2014. “Making Mobile Browser Surveys Smarter: Results from a Randomized Experiment Comparing Online Surveys Completed via Computer or Smartphone.” Field Methods 26: 322–342. DOI: https://doi.org/10.1177/1525822X14526146. Search in Google Scholar

Callegaro, M. 2010. “Do You Know Which Device Your Respondent Has Used to Take Your Online Survey?” Survey Practice 3: 1–12. DOI: https://doi.org/10.29115/sp-2010-0028. Search in Google Scholar

Callegaro, M. 2013. “From Mixed-Mode to Multiple Devices: Web Surveys, Smartphone Surveys and Apps: Has the Respondent Gone Ahead of Us in Answering Surveys?”, International Journal of Market Research 55: 317–320. DOI: https://doi.org/10.2501/IJMR-2013-026. Search in Google Scholar

Callegaro, M., K. Manfreda, and V. Vehovar. 2015. Web Survey Methodology. London, UK: SAGE.10.4135/9781529799651 Search in Google Scholar

Couper, M.P., C. Antoun, and A. Mavletova. 2017. “Mobile Web Surveys.” In Total Survey Error in Practice edited by P.P. Biemer, E.D. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B.T. West: 133–154. Hoboken, NJ: Wiley. DOI: https://doi.org/10.1002/9781119041702.ch7. Search in Google Scholar

Couper, M.P. and G.J. Peterson. 2017. “Why Do Web Surveys Take Longer on Smartphones?” Social Science Computer Review 35: 357–377. DOI: https://doi.org/10.1177/0894439316629932. Search in Google Scholar

De Bruijne, M. and A. Wijnant. 2014a. “Mobile Response in Web Panels.” Social Science Computer Review 32: 728–742. DOI: https://doi.org/10.1177/0894439314525918. Search in Google Scholar

De Bruijne, M. and A. Wijnant, A. 2014b. “Improving Response Rates and Questionnaire Design for Mobile Web Surveys.” Public Opinion Quarterly 78: 951–962. DOI: https://doi.org/10.1093/poq/nfu046. Search in Google Scholar

De Leeuw, E.D. and P. Lugtig. 2014. Dropouts in Longitudinal Surveys. Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Ltd. DOI: 10.1002/9781118445112.stat06661.pub2. Open DOISearch in Google Scholar

Dillman, D.A., M.D. Sinclair, and J.R. Clark. 1993. “Effects of Questionnaire Length, Respondent-friendly Design, and a Difficult Question on Response Rates for Occupant-addressed Census Mail Surveys.” Public Opinion Quarterly 57: 289-304. DOI: 10.1086/269376. Open DOISearch in Google Scholar

Dillman, D.A., J.D. Smyth, and L.M. Christian. 2014. Internet, Mail, and Mixed-mode Surveys: The Tailored Design Method. Hoboken, NJ: John Wiley & Sons. Search in Google Scholar

Elevelt, A., P. Lugtig, and V. Toepoel. 2019. “Doing a Time Use Survey on Smartphones Only: What Factors Predict Nonresponse at Different Stages of the Survey Process?” Survey Research Methods 13: 195–213. DOI: https://doi.org/10.18148/srm/2019.v13i2.7385. Search in Google Scholar

Freese, J. and A. Branigan. 2012. “Cognitive Skills and Survey Nonresponse –– Evidence from Two Longitudinal Studies in the United States.” EurAmerica 42: 221–247. Available at: https://www.ea.sinica.edu.tw/eu_file/134009378914.pdf. Search in Google Scholar

Galesic, M. 2006. “Dropouts on the Web: Effects of Interest and Burden Experienced during an Online Survey.” Journal of Official Statistics 22: 313–328. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/dropouts-onthe-web-effects-of-interest-and-burden-experienced-during-an-online-survey.pdf Search in Google Scholar

Galesic, M., and M. Bosnjak. 2009. “Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey.” Public Opinion Quarterly 73: 349–360. DOI: https://doi.org/10.1093/poq/nfp031. Search in Google Scholar

Geisen, E., and J.R. Bergstrom. 2017. Usability Testing for Survey Research. Burlington, MA: Morgan Kaufmann. Search in Google Scholar

Groves, R., S. Presser, and S. Dipko. 2004. “The Role of Topic Interest in Survey Participation Decisions.” Public Opinion Quarterly 68: 2–31. DOI: https://doi.org/10.1093/poq/nfh002. Search in Google Scholar

Guidry, K.R. 2012. “Response Quality and Demographic Characteristics of Respondents Using a Mobile Device on a Web-Based Survey?” Presentation at the American Association for Public Opinion Research’s 67th Annual Conference. May 18, Orlando, FL, U.S.A. Available at: https://www.aapor.org/AAPOR_Main/media/AnnualMeeting-Proceedings/2012/01_KRGuidry_F1_Mobile-Device-Respondents.pdf (accessed March 2022). Search in Google Scholar

Gummer, T., and J. Daikeler. 2020. “A Note on How Prior Survey Experience with Self-Administered Panel Surveys Affects Attrition in Different Modes.” Social Science Computer Review 38: 490–498. DOI: https://doi.org/10.1177/0894439318816986. Search in Google Scholar

Haraldsen, G. 2004. “Searching for Response Burdens in Focus Groups with Business Respondents.” In Proceedings of the QUEST 2003: Proceedings of the 4th Conference on Questionnaire Evaluation Standards, 21-23 October 2003, edited by P. Prüfer, M. Rexroth, and F.J.J. Fowler: 13–123. Mannheim: Zentrum für Umfragen, Methoden und Analysen -ZUMA-. Available at: https://nbn-resolving.org/urn:nbn:de:0168-ssoar-49200-6 (accessed August 2021). Search in Google Scholar

Harder, V.S., E.A. Stuart, and J.C. Anthony. 2010. “Propensity Score Techniques and the Assessment of Measured Covariate Balance to Test Causal Associations in Psychological Research.” Psychological Methods 15: 234–249. DOI: https://doi.org/10.1037/a0019623.293669820822250 Search in Google Scholar

Hayes, A.F. 2017. Introduction to Mediation, Moderation, and Conditional Process Analysis. New York, NY: The Guilford Press. Search in Google Scholar

Herzing, J.M.E. 2019. Mobile Web Surveys. FORS Guide No. 01, Version 1.0. Lausanne: Swiss Centre of Expertise in the Social Sciences FORS. DOI: https://doi.org/10.24449/FG-2019-00001. Search in Google Scholar

Hill, D.H. and R.J. Willis. 2001. “Reducing Panel Attrition. A Search for Effective Policy Instruments.” Journal of Human Resources 26: 416–438. DOI: https://doi.org/10.2307/3069625. Search in Google Scholar

Hoogendoorn, A.W., and D. Sikkel. 1998. “Response Burden and Panel Attrition.” Journal of Official Statistics 14: 189–205. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/response-burden-and-panel-attrition.pdf Search in Google Scholar

Hox, J., E.D. de Leeuw, and T. Klausch. 2017. “Mixed Mode Research: Issues in Design and Analysis.” In Total survey error in practice edited by P.P. Biemer, E.D. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B.T. West: 511–530. Hoboken, NJ: Wiley. DOI: https://doi.org/10.1002/9781119041702.ch23. Search in Google Scholar

Jäckle, A., J. Burton, M.P. Couper, and C. Lessof. 2019. “Participation in a Mobile App Survey to Collect Expenditure Data as Part of a Large-Scale Probability Household Panel: Coverage and Participation Rates and Biases.” Survey Research Methods 13: 23–44. DOI: https://doi.org/10.18148/srm/2019.v1i1.7297 Search in Google Scholar

Jäckle, A., A. Gaia, and M. Benzeval. 2018. The Use of New Technologies to Measure Socioeconomic and Environmental Concepts in Longitudinal Studies. CLOSER Resource report. London, UK: UCL, Closer, Institute of Education. Available at: https://www.closer.ac.uk/wp-content/uploads/CLOSER-resource-The-use-of-new-technology-to-measure-socio-economic-and-environmental-concepts.pdf (accessed March 2022). Search in Google Scholar

Jacobsen, J. and S. Kühne. 2021. Using a Mobile App When Surveying Highly Mobile Populations: Panel Attrition, Consent, and Interviewer Effects in a Survey of Refugees. Social Science Computer Review 39: 721–743. DOI: https://doi.org/10.1177/0894439320985250. Search in Google Scholar

Johnson, A., F. Kelly, and S. Stevens. 2012. “Modular Survey Design for Mobile Devices.” Presentation at the CASRO Online Conference 2012, March 7–8, Las Vegas, NE, U.S.A. Available at: https://c.ymcdn.com/sites/www.casro.org/resource/collection/E270CC91-6B72-4C37-BCC0-5503/CBB66C55/Paper_-_Frank_Kelly_and_Alex_-Johnson_-_Lightspeed_Research_and_Kantar_Operations.pdf. Search in Google Scholar

Kalton, G., J. Lepkowski, G.E. Montanari, and D. Maligalig. 1990. “Characteristics of Second Wave Nonrespondents in a Panel Survey.” In Proceedings of the Survey Research Methods Section: American Statistical Association: 462–467. In JSM Proceedings, Survery Research Methods Section. Alexandria, VA, U.S.A. Available at: http://www.asasrms.org/Proceedings/y1990f.html (accessed August 2021). Search in Google Scholar

Keusch, F., B. Struminskaya, C. Antoun, M.P. Couper, and F. Kreuter. 2019. “Willingness to Participate in Passive Mobile Data Collection.” Public Opinion Quarterly 83: 210–235. DOI: https://doi.org/10.1093/poq/nfz007.663976531337924 Search in Google Scholar

Keusch, F. and T. Yan. 2017. “Web versus Mobile Web: An Experimental Study of Device Effects and Self-Selection Effects.” Social Science Computer Review 35: 751–769. DOI: https://doi.org/10.1177/0894439316675566. Search in Google Scholar

Klausch, T., J. Hox, and B. Schouten. 2015. “Selection Error in Single- and Mixed Mode Surveys of the Dutch General Population.” Journal of the Royal Statistical Society Series A 178: 945–961. DOI: https://doi.org/10.1111/rssa.12102. Search in Google Scholar

Kleinert, C., B. Christoph, and M. Ruland. 2019. “Experimental Evidence on Immediate and Long-term Consequences of Test-induced Respondent Burden for Panel Attrition.” Sociological Methods and Research: 1–32. DOI: https://doi.org/10.1177/0049124119826145. Search in Google Scholar

Kreuter, F., G.-C. Haas, F. Keusch, S. Bähr, and M. Trappmann. 2018. “Collecting Survey and Smartphone Sensor Data with an App: Opportunities and Challenges Around Privacy and Informed Consent.” Social Science Computer Review 38: 533–549. DOI: https://doi.org/10.1177/0894439318816389. Search in Google Scholar

Laurie, H. 2008. “Handbook of Longitudinal Research: Design, Measurement, and Analysis.” In Minimizing Panel Attrition edited by S. Menard: 167–184. Elsevier. Search in Google Scholar

Laurie, H., R. Smith, and L. Scott. 1999. ‘‘Strategies for Reducing Nonresponse in a Longitudinal Panel Survey.’’ Journal of Official Statistics 15: 269–282. Search in Google Scholar

Lawes, M., C. Hetschko, J.W. Sakshaug, and S. Griessemer. 2021. “Contact Modes and Participation in App-based Smartphone Surveys: Evidence from a Large-scale Experiment.” Social Science Computer Review. DOI: https://doi.org/10.1177/0894439321993832. Search in Google Scholar

Lee, H., S. Kim, M. Couper, and Y. Woo. 2019. “Experimental Comparison of PC Web, Smartphone Web, and Telephone Surveys in the New Technology Era.” Social Science Computer Review 37: 234–247. DOI: https://doi.org/10.1177/0894439318756867. Search in Google Scholar

Lemay, M. 2010. ‘‘Understanding the Mechanism of Panel Attrition.’’ Unpublished Doctoral thesis, Doctor of Philosophy, University of Maryland, College Park, MD. Search in Google Scholar

Lepkowski, J.M. and M.P. Couper. 2002. “Nonresponse in the Second Wave of Longitudinal Household Surveys.” In Survey Nonresponse edited by R.M. Groves, D.A. Dillman, J.E. Eltinge, and R.J.A. Little: 259–272. New York: Wiley. Search in Google Scholar

Link, M.W., J. Murphy, M.F. Schober, T.D. Buskirk, J. Hunter Childs, and C. Langer Tesfaye. 2014. “Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys.” Public Opinion Quarterly 78: 779–787. DOI: https://doi.org/10.1093/poq/nfu054. Search in Google Scholar

Lipps, O. 2009. Attrition of Households and Individuals in Panel Surveys. SOEP- Papers 164. Berlin: DIW. Available at: http://www.diw.de/documents/publikationen/73/diw_01.c.96125.de/diw_sp0164.pdf (accessed March 2022). Search in Google Scholar

Loosveldt, G. and A. Carton. 2001. “An Empirical Test of a Limited Model for Panel Refusals.” International Journal of Public Opinion Research 13:173–185. DOI: https://doi.org/10.1093/ijpor/13.2.173 Search in Google Scholar

Loosveldt, G., J. Pickery, and J. Billiet. 2002. “Item Nonresponse as a Predictor of Unit Nonresponse in a Panel Survey.” Journal of Official Statistics 18: 545–557. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/item-nonresponse-as-a-predictor-of-unit-nonresponse-in-a-panel-survey.pdf. Search in Google Scholar

Lugtig, P. 2014. “Panel Attrition: Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers.” Sociological Methods & Research 43: 699–723. DOI: https://doi.org/10.1177/0049124113520305 Search in Google Scholar

Lugtig, P. 2021. “What Panel Surveys and Smartphone-App Studies can Learn from Each Other.” Presentation at the 9th Conference of the European Survey Research Association, Online, July 9. Available at: https://www.europeansurveyresearch.org/conferences/program2021?sess=29#218 (accessed March 2022). Search in Google Scholar

Lugtig, P. and V. Toepoel. 2016. “The Use of PCs, Smartphones, and Tablets in a Probability-Based Panel Survey: Effects on Survey Measurement Error.” Social Science Computer Review, 34: 78–94. DOI: https://doi.org/10.1177/0894439315574248. Search in Google Scholar

Lynn, P. 2008. “The Problem of Nonresponse.” In International Handbook of Survey Methodology edited by E.D. de Leeuw, J.J. Hox, and D.A. Dillman: 35–55. New York: Psychology Press. Search in Google Scholar

Lynn, P. 2014. “Longer Interviews May Not Affect Subsequent Survey Participation Propensity.” Public Opinion Quarterly 78: 500–509. DOI: http://dx.doi.org/10.1093/poq/nfu015.10.1093/poq/nfu015 Search in Google Scholar

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

Maslovskaya, O., G.B. Durrant, P.W.F. Smith, T. Hanson, and A. Villar. 2019. “What are the Characteristics of Respondents Using Different Devices in Mixed-Device Online Surveys? Evidence from Six UK Surveys.” International Statistical Review 87: 326–346. DOI: https://doi.org/10.1111/insr.12311. Search in Google Scholar

Mavletova, A. 2013. “Data Quality in PC and Mobile Web Surveys.” Social Science Computer Review 31: 725–743. DOI: https://doi.org/10.1177/0894439313485201. Search in Google Scholar

Mavletova, A. and M.P. Couper. 2013. “Sensitive Topics in PC Web and Mobile WebSurveys: Is there a Difference?” Survey Research Methods 7: 191–205. DOI: https://doi.org/10.18148/srm/2013.v7i3.5458. Search in Google Scholar

Mavletova, A. and M.P. Couper. 2015. “A Meta-Analysis of Breakoff Rates.” In Mobile Research Methods: Opportunities and Challenges of Mobile Research Methodologies edited by D. Toninelli, R. Pinter, and P. Pedraza: 81–98. Ubiquity Press. DOI: https://doi.org/10.5334/bar.f. Search in Google Scholar

Mavletova, A., M.P. Couper, and D. Lebedev. 2018. “Grid and Item-by-Item Formats in PC and Mobile Web Surveys.” Social Science Computer Review 36: 647–668. DOI: https://doi.org/10.1177/0894439317735307. Search in Google Scholar

Mulder, J. and M. de Bruijne. 2019. “Willingness of Online Respondents to Participate in Alternative Modes of Data Collection.” Survey Practice 12: 1–11. DOI: https://doi.org/10.29115/SP-2019-0001. Search in Google Scholar

Office of Management and Budget. 2006. Standards and Guidelines for Statistical Surveys. Executive Office of the President of the United States. Available at: https://unstats.un.org/unsd/dnss/docs-nqaf/USA_standards_stat_surveys.pdf (accessed August 2021). Search in Google Scholar

Olsen, R.J. 2005. “The Problem of Respondent Attrition: Survey Methodology is the Key.” Monthly Labor Review 128: 63–70. Available at: http://www.jstor.org/stable/23804052 (accessed March 2022). Search in Google Scholar

Peytchev, A. 2009. “Survey Breakoff.” Public Opinion Quarterly 73: 74–97. DOI: https://doi.org/10.1093/poq/nfp014. Search in Google Scholar

Peytchev, A. and C.A. Hill. 2010. “Experiments in Mobile Web Survey Design: Similarities to Other Modes and Unique Considerations.” Social Science Computer Review 28: 319–335. DOI: https://doi.org/10.1177/0894439309353037. Search in Google Scholar

Pinter, R. 2015. “Willingness of Online Access Panel Members to Participate in Smartphone Application-Based Research.” In Mobile Research Methods, edited by D. Toninelli, R. Pinter, and P. de Pedraza: 141–156. London: Ubiquity Press. Search in Google Scholar

Read, B. 2019. “Respondent Burden in a Mobile App: Evidence from a Shopping Receipt Scanning Study.” Survey Research Methods 13: 45–71. DOI: https://doi.org/10.18148/srm/2019.v1i1.7379. Search in Google Scholar

Revilla, M., M.P. Couper, and C. Ochoa. 2019. “Willingness of Online Panelists to Perform Additional Tasks.” Methods, Data, Analyses 13: 223–252. DOI: https://doi.org/10.12758/mda.2018.01. Search in Google Scholar

Revilla, M. and C. Ochoa. 2015. “What are the Links in a Web Survey among Response Time, Quality, and Auto-Evaluation of the Efforts Done?” Social Science Computer Review 33: 97–114. DOI: https://doi.org/10.1177/0894439314531214. Search in Google Scholar

Revilla, M., C. Ochoa, and G. Loewe. 2017. “Using Passive Data from a Meter to Complement Survey Data in Order to Study Online Behavior.” Social Science Computer Review 35: 521–536. DOI: https://doi.org/10.1177/0894439316638457. Search in Google Scholar

Revilla, M., D. Toninelli, and C. Ochoa. 2016. “PCs versus Smartphones in Answering Web Surveys: Does the Device Make a Difference?” Survey Practice 9: 1–6. DOI: https://doi.org/10.29115/sp-2016-0021. Search in Google Scholar

Roberts, C., Vandenplas, C., and J. Herzing. 2020. “A Validation of R-indicators as a Measure of the Risk of Bias using Data from a Non-response Follow-up Survey.” Journal of Official Statistics 36: 675-701. DOI: https://doi.org/10.2478/jos-2020-0034. Search in Google Scholar

Rosenbaum, P.R., and D.B. Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70: 41–55. DOI: https://doi.org/10.1093/biomet/70.1.41. Search in Google Scholar

Sakshaug, J.W., and F. Kreuter. 2011. “Using Paradata and Other Auxiliary Data to Examine Mode Switch Nonresponse in a “Recruit-and-Switch” Telephone Survey.” Journal of Official Statistics 27: 339–357. Available at: https://www.scb.se/conten-tassets/ca21efb41fee47d293bbee5bf7be7fb3/using-paradata-and-other-auxiliary-data-to-examine-mode-switch-nonresponse-in-a-34recruit-and-switch34-telephone-survey.pdf. 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: https://doi.org/10.1093/poq/nfq057. Search in Google Scholar

Scherpenzeel, A. 2017. “Mixing Online Panel Data Collection with Innovative Methods.” In Methodische Probleme von Mixed-Mode-Ansätzen in der Umfrageforschung [Methodological Problems of Mixed-Mode Approaches in Survey Research], edited by S. Eifler and F. Faulbaum: 27–49. Wiesbaden: Springer.10.1007/978-3-658-15834-7_2 Search in Google Scholar

Stapleton, C.E. 2013. “The Smart(phone) Way to Collect Survey Data.” Survey Practice 6: 1–7. DOI: https://doi.org/10.29115/sp-2013-0011. Search in Google Scholar

Struminskaya, B., K. Weyandt, and M. Bosnjak. 2015. “The Effects of Questionnaire Completion using Mobile Devices on Data Quality. Evidence from a Probability-Based General Population Panel.” Methods, Data, Analyses 9: 261–292. DOI: https://doi.org/10.12758/mda.2015.014. Search in Google Scholar

Struminskaya, B., Toepoel, V., Lutgtig, P., Haan, M., Luiten, A., and B. Schouten. 2021. “Understanding willingness to share smartphone-sensor data.” Public Opinion Quarterly. DOI: https://doi.org/10.1093/poq/nfaa044.813097934025296 Search in Google Scholar

Toepoel, V. and P. Lugtig. 2015. “Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices in Web Surveys.” Methods, Data, Analyses 9: 155–162. DOI: https://doi.org/10.12758/mda.2015.009. Search in Google Scholar

Toepoel, V. and P. Lugtig. 2018. “Modularization in an Era of Mobile Web: Investigating the Effects of Cutting a Survey into Smaller Pieces on Data Quality.” Social Science Computer Review. DOI: https://doi.org/10.1177/0894439318784882. Search in Google Scholar

Tourangeau, R., F.G. Conrad, and M.P. Couper. 2013. The Science of Web Surveys. Oxford, GB: Oxford University Press.10.1093/acprof:oso/9780199747047.001.0001 Search in Google Scholar

Tresch, A., L. Lauener, L. Bernhard, and L. Scaperrotta. 2020. Selects: Panel Survey (waves 1–3) – 2019 [Dataset]. Distributed by FORS, Lausanne, 2020. www.selects.ch. DOI: https://doi.org/10.23662/FORS-DS-1184-1. Search in Google Scholar

VanderWeele, T.J. 2015. Explanation in Causal Inference: Methods for Mediation and Interaction. Oxford, UK: Oxford University Press.10.1093/ije/dyw277637349827864406 Search in Google Scholar

VanderWeele, T.J. 2016. “Mediation Analysis: A Practitioner’s Guide.” Annual Review of Public Health 37: 17–32. DOI: https://doi.org/0.1146/annurev-publhealth-032315-021402.10.1146/annurev-publhealth-032315-02140226653405 Search in Google Scholar

Watson, N. and M. Wooden. 2009. ‘‘Identifying Factors Affecting Longitudinal Survey Response.’’ In Methodology of Longitudinal Surveys edited by P. Lynn: 157–182. Chichester, England: John Wiley.10.1002/9780470743874.ch10 Search in Google Scholar

Wells, T., J.T. Bailey, and M.W Link. 2013. “Filling the Void: Gaining a Better Understanding of Tablet-Based Surveys.” Survey Practice 6: 1–9. DOI: https://doi.org/10.29115/sp-2013-0002. Search in Google Scholar

Wenz, A. 2021. “Do Distractions During Web Survey Completion Affect Data Quality? Findings from a Laboratory Experiment.” Social Science Computer Review 3: 148–161. DOI: https://doi.org/10.1177/0894439319851503. Search in Google Scholar

Wenz, A., A. Jäckle, and M.P. Couper. 2019. “Willingness to Use Mobile Technologies for Data Collection in a Probability Household Panel.” Survey Research Methods 13: 1–22. DOI: https://doi.org/10.18148/srm/2019.v13i1.7298. Search in Google Scholar

Yan, T., S. Fricker, S., and S. Tsai. 2019. “Response Burden: What Predicts It and Who is Burdened Out?” In Advances in Questionnaire Design, Development, Evaluation and Testing edited by P. Beatty, D. Collins, L. Kaye, J.L. Padilla, G. Willis, and A. Wilmot, 193-212. Hoboken, NJ: John Wiley & Sons. DOI: https://doi.org/10.1002/9781119263685.ch8. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo