IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v30y2014i2p25n11.html
   My bibliography  Save this article

Reaching Hard-to-Survey Populations: Mode Choice and Mode Preference

Author

Listed:
  • Haan Marieke
  • Ongena Yfke P.

    (University of Groningen, Faculty of Arts, PO BOX 716 Groningen 9700 AS, Groningen, the Netherlands.)

  • Aarts Kees

    (University of Twente – Political Science and Research Methods, PO Box 217, Enschede 7522, AE Overijssel, the Netherlands.)

Abstract

This study assesses the effect of response-mode choices on response rates, and responsemode preferences of hard-to-survey populations: young adults, full-time workers, big city inhabitants, and non-Western immigrants. Using address-based sampling, a stratified sample of 3,496 households was selected. The first group of sample members was contacted face to face and could choose between a CAPI and web response mode. The second group, contacted by telephone, could choose between CATI and web. The third group, contacted by telephone, was randomly allocated to a response mode. Our address-based sampling technique was successful in reaching most of the hard-to-survey groups. Insufficient numbers of non- Western immigrants were reached; therefore this group was excluded from our analyses. In our mixed-effect models, no significant effects on the willingness to participate were found for mode choice. We found that full-time workers and young adults were significantly more likely to choose web over CAPI when contacted face to face.

Suggested Citation

  • Haan Marieke & Ongena Yfke P. & Aarts Kees, 2014. "Reaching Hard-to-Survey Populations: Mode Choice and Mode Preference," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-25, June.
    • Handle: RePEc:vrs:offsta:v:30:y:2014:i:2:p:25:n:11
    DOI: 10.2478/jos-2014-0021
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2014-0021
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jos-2014-0021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dhar, Ravi, 1997. "Consumer Preference for a No-Choice Option," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 215-231, September.
    2. Couper, Mick P. & Kapteyn, Arie & Schonlau, Matthias & Winter, Joachim, 2007. "Noncoverage and nonresponse in an Internet survey," Munich Reprints in Economics 20093, University of Munich, Department of Economics.
    3. Elisabeth Deutskens & Ko de Ruyter & Martin Wetzels & Paul Oosterveld, 2004. "Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study," Marketing Letters, Springer, vol. 15(1), pages 21-36, February.
    4. Mick Couper & Robert Groves, 1996. "Social environmental impacts on survey cooperation," Quality & Quantity: International Journal of Methodology, Springer, vol. 30(2), pages 173-188, May.
    5. Weeks, M.F. & Kulka, R.A. & Lessler, J.T. & Whitmore, R.W., 1983. "Personal versus telephone surveys for collecting household health data at the local level," American Journal of Public Health, American Public Health Association, vol. 73(12), pages 1389-1394.
    6. John Goyder & Jean Lock & Trish McNair, 1992. "Urbanization effects on survey nonresponse: a test within and across cities," Quality & Quantity: International Journal of Methodology, Springer, vol. 26(1), pages 39-48, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tom W. Smith & Jibum Kim, 2013. "An Assessment of the Multi-level Integrated Database Approach," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 185-221, January.
    2. Rolf Becker, 2022. "The effects of a special sequential mixed-mode design, and reminders, on panellists’ participation in a probability-based panel study," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 259-284, February.
    3. Nagler Matthew G., 2007. "Understanding the Internet's Relevance to Media Ownership Policy: A Model of Too Many Choices," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, June.
    4. Amos Schurr & Yaakov Kareev & Judith Avrahami & Ilana Ritov, 2012. "Taking the Broad Perspective: Risky Choices in Repeated Proficiency Tasks," Discussion Paper Series dp621, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    5. Li, Eric A.L., 2014. "Test for the real option in consumer behavior," Research in Economics, Elsevier, vol. 68(1), pages 70-83.
    6. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    7. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    8. van Putten, Marloes & Lijesen, Mark & Özel, Tanju & Vink, Nancy & Wevers, Harm, 2014. "Valuing the preferences for micro-generation of renewables by househoulds," Energy, Elsevier, vol. 71(C), pages 596-604.
    9. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    10. Rajagopal, 2008. "Consumer response to seasonal clearance sales: experimental analysis of consumer personality traits in self-service stores," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(1), pages 68-92.
    11. Peschel, Anne O. & Grebitus, Carola & Steiner, Bodo & Veeman, Michele, 2015. "A Behavioral Approach to Understanding Green Consumerism Using Latent Class Choice Analysis," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202727, European Association of Agricultural Economists.
    12. Tatsushi Fukaya & Masayuki Suzuki & Ikumi Ozawa & Takumi Nakagoshi, 2022. "An Examination of Related Factors of Mathematical Pedagogical Content Knowledge in Elementary School Teachers: Focusing on Conceptions of Teaching and Learning and Test Utilization Strategy," SAGE Open, , vol. 12(4), pages 21582440221, October.
    13. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Business and Economics.
    14. Mohammad Rashed Hasan Polas & Ratul Kumar Saha & Mosab I. Tabash, 2022. "How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3659-3686, March.
    15. Swait, Joffre & Adamowicz, Wiktor, 2001. "Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 141-167, November.
    16. Joachim Winter & Amelie Wuppermann, 2014. "Do They Know What Is At Risk? Health Risk Perception Among The Obese," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 564-585, May.
    17. Hristina Nikolova & Cait Lamberton, 2016. "Men and the Middle: Gender Differences in Dyadic Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(3), pages 355-371.
    18. Mark Heitmann & Andreas Herrmann, 2007. "Die Zufriedenheit mit dem Entscheidungsprozess als Determinante der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 59(5), pages 530-566, August.
    19. Johannes D. Hattula & Walter Herzog & Ravi Dhar, 2023. "The impact of touchscreen devices on consumers’ choice confidence and purchase likelihood," Marketing Letters, Springer, vol. 34(1), pages 35-53, March.
    20. Li, Jianbin & Liu, Lang & Luo, Xiaomeng & Zhu, Stuart X., 2023. "Interactive bundle pricing strategy for online pharmacies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:offsta:v:30:y:2014:i:2:p:25:n:11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.