IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v4y2012p69-85id1033.html
   My bibliography  Save this article

An optimal assignment procedure for multiple online surveys

Author

Listed:
  • Bogumił Kamiński
  • Wit Jakczun
  • Mariusz Kozakiewicz
  • Małgorzata Półtorak

Abstract

The problem of optimal assignment of respondents to internet surveys has been considered. The task is taken from a leading online research company in Central and Eastern Europe, which runs several dozen surveys in parallel. Each survey is assigned a target number of responses to be collected and unique selection criteria for choosing respondents based on their socio-demographic data. A mathematical programming model has been proposed that enables us to find an optimal mechanism for assigning respondents to surveys so as to minimize the required total number of invitations to surveys issued. A side effect of the assignment procedure is that the samples obtained are not representative of the population under survey. Therefore, a sample weighting scheme has been developed thattakes this fact into account and allows us to obtain unbiased estimators of the characteristics of the population surveyed.

Suggested Citation

  • Bogumił Kamiński & Wit Jakczun & Mariusz Kozakiewicz & Małgorzata Półtorak, 2012. "An optimal assignment procedure for multiple online surveys," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(4), pages 69-85.
    • Handle: RePEc:wut:journl:v:4:y:2012:p:69-85:id:1033
    DOI: 10.5277/ord120404
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/1033%20-%20published.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5277/ord120404?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. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    2. Martine Selm & Nicholas Jankowski, 2006. "Conducting Online Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(3), pages 435-456, June.
    3. Lohr, Sharon & Rao, J.N.K., 2006. "Estimation in Multiple-Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1019-1030, September.
    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. Stephanie Coffey, PhD. & Jaya Damineni & John Eltinge, PhD. & Anup Mathur, PhD. & Kayla Varela & Allison Zotti, 2023. "Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods," Working Papers 23-03, Center for Economic Studies, U.S. Census Bureau.
    2. Early Kirstin & Mankoff Jennifer & Fienberg Stephen E., 2017. "Dynamic Question Ordering in Online Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 625-657, September.
    3. Chun Asaph Young & Schouten Barry & Wagner James, 2017. "JOS Special Issue on Responsive and Adaptive Survey Design: Looking Back to See Forward – Editorial: In Memory of Professor Stephen E. Fienberg, 1942–2016," Journal of Official Statistics, Sciendo, vol. 33(3), pages 571-577, September.
    4. Reza C. Daniels, 2012. "A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys," SALDRU Working Papers 90, Southern Africa Labour and Development Research Unit, University of Cape Town.
    5. Reist, Benjamin M. & Rodhouse, Joseph B. & Ball, Shane T. & Young, Linda J., 2019. "Subsampling of Nonrespondents in the 2017 Census of Agriculture," NASS Research Reports 322826, United States Department of Agriculture, National Agricultural Statistics Service.
    6. Morenike Oluwatoyin Folayan & Roberto Ariel Abeldaño Zuniga & Oliver C. Ezechi & Brandon Brown & Annie L. Nguyen & Nourhan M. Aly & Passent Ellakany & Ifeoma E. Idigbe & Abeedha Tu-Allah Khan & Folake, 2022. "Associations between Emotional Distress, Sleep Changes, Decreased Tooth Brushing Frequency, Self-Reported Oral Ulcers and SARS-Cov-2 Infection during the First Wave of the COVID-19 Pandemic: A Global ," IJERPH, MDPI, vol. 19(18), pages 1-11, September.
    7. Shannon Davis & Andrey Shevchuk & Denis Strebkov, 2014. "Pathways to Satisfaction with Work-Life Balance: The Case of Russian-Language Internet Freelancers," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 542-556, December.
    8. Vicente Gea-Caballero & José Ramón Martínez-Riera & Pedro García-Martínez & Jorge Casaña-Mohedo & Isabel Antón-Solanas & María Virtudes Verdeguer-Gómez & Iván Santolaya-Arnedo & Raúl Juárez-Vela, 2021. "Study of the Strengths and Weaknesses of Nursing Work Environments in Primary Care in Spain," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
    9. Lewis Taylor, 2017. "Univariate Tests for Phase Capacity: Tools for Identifying When to Modify a Survey’s Data Collection Protocol," Journal of Official Statistics, Sciendo, vol. 33(3), pages 601-624, September.
    10. Jiayun Jin & Caroline Vandenplas & Geert Loosveldt, 2019. "The Evaluation of Statistical Process Control Methods to Monitor Interview Duration During Survey Data Collection," SAGE Open, , vol. 9(2), pages 21582440198, June.
    11. Andy Peytchev, 2013. "Consequences of Survey Nonresponse," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 88-111, January.
    12. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    13. Roger Tourangeau & J. Michael Brick & Sharon Lohr & Jane Li, 2017. "Adaptive and responsive survey designs: a review and assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 203-223, January.
    14. repec:iab:iabfda:201307(en is not listed on IDEAS
    15. Roberts Caroline & Herzing Jessica M.E. & Vandenplas Caroline, 2020. "A Validation of R-Indicators as a Measure of the Risk of Bias using Data from a Nonresponse Follow-Up Survey," Journal of Official Statistics, Sciendo, vol. 36(3), pages 675-701, September.
    16. Böhme, Marcus & Stöhr, Tobias, 2012. "Guidelines for the use of household interview duration analysis in CAPI survey management," Kiel Working Papers 1779, Kiel Institute for the World Economy (IfW Kiel).
    17. Mario Callegaro & Charlotte Steeh & Trent D. Buskirk & Vasja Vehovar & Vesa Kuusela & Linda Piekarski, 2007. "Fitting disposition codes to mobile phone surveys: experiences from studies in Finland, Slovenia and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 647-670, July.
    18. Rolf Becker, 2023. "Short- and long-term effects of reminders on panellists’ survey participation in a probability-based panel study with a sequential mixed-mode design," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4095-4119, October.
    19. Durrant Gabriele B. & Maslovskaya Olga & Smith Peter W. F., 2017. "Using Prior Wave Information and Paradata: Can They Help to Predict Response Outcomes and Call Sequence Length in a Longitudinal Study?," Journal of Official Statistics, Sciendo, vol. 33(3), pages 801-833, September.
    20. Raphael Nishimura & James Wagner & Michael Elliott, 2016. "Alternative Indicators for the Risk of Non-response Bias: A Simulation Study," International Statistical Review, International Statistical Institute, vol. 84(1), pages 43-62, April.
    21. Holly Matulewicz & Eric Grau & Arif Mamun & Gina Livermore, "undated". "Promoting Readiness of Minors in Supplemental Security Income (PROMISE): PROMISE 60-Month Sampling and Survey Plan," Mathematica Policy Research Reports be402161c12e402392af9182e, Mathematica Policy Research.

    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:wut:journl:v:4:y:2012:p:69-85:id:1033. 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    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.