IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v38y2022i4p1051-1067n5.html
   My bibliography  Save this article

Relationship Between Past Survey Burden and Response Probability to a New Survey in a Probability-Based Online Panel

Author

Listed:
  • Jin Haomiao
  • Kapteyn Arie

    (Center for Economic and Social Research, University of Southern California, 635 Downey Way VPD, Los Angeles, 90089, California, U.S.A.)

Abstract

We conducted an idiographic analysis to examine the effect of survey burden, measured by the length of the most recent questionnaire, or number of survey invitations (survey frequency) in a one-year period preceding a new survey, on the response probability to a new survey in a probability-based Internet panel. The individual response process was modeled by a latent Markov chain with questionnaire length and survey frequency as explanatory variables. The individual estimates were obtained using a Monte Carlo based method and then pooled to derive estimates of the overall relationships and to identify specific subgroups whose responses were more likely to be impacted by questionnaire length or survey frequency. The results show an overall positive relationship between questionnaire length and response probability, and no significant relationship between survey frequency and response probability. Further analysis showed that longer questionnaires were more likely to be associated with decreased response rates among racial/ethnic minorities and introverted participants. Frequent surveys were more likely to be associated with decreased response rates among participants with a large household. We discuss the implications for panel management and advocate targeted interventions for the small subgroups whose response probability may be negatively impacted by longer questionnaires or frequent surveys.

Suggested Citation

  • Jin Haomiao & Kapteyn Arie, 2022. "Relationship Between Past Survey Burden and Response Probability to a New Survey in a Probability-Based Online Panel," Journal of Official Statistics, Sciendo, vol. 38(4), pages 1051-1067, December.
    • Handle: RePEc:vrs:offsta:v:38:y:2022:i:4:p:1051-1067:n:5
    DOI: 10.2478/jos-2022-0045
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2022-0045
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jos-2022-0045?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. Jeffrey E. Zabel, 1998. "An Analysis of Attrition in the Panel Study of Income Dynamics and the Survey of Income and Program Participation with an Application to a Model of Labor Market Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 479-506.
    2. Cheti Nicoletti & Franco Peracchi, 2005. "Survey response and survey characteristics: microlevel evidence from the European Community Household Panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(4), pages 763-781, November.
    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. Stueve, A. & O'Donnell, L.N. & Duran, R. & San Doval, A. & Blome, J., 2001. "Time-space sampling in minority communities: Results with young Latino men who have sex with men," American Journal of Public Health, American Public Health Association, vol. 91(6), pages 922-926.
    5. Lee, S. & Schwarz, N., 2014. "Question context and priming meaning of health: Effect on differences in self-rated health between Hispanics and non-Hispanic Whites," American Journal of Public Health, American Public Health Association, vol. 104(1), pages 179-185.
    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. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    2. Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," Melbourne Institute Working Paper Series wp2011n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    4. Teresa Molina Millán & Karen Macours, 2017. "Attrition in randomized control trials: Using tracking information to correct bias," FEUNL Working Paper Series novaf:wp1702, Universidade Nova de Lisboa, Faculdade de Economia.
    5. 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).
    6. Becchetti, Leonardo & Conzo, Pierluigi & Salustri, Francesco, 2017. "The impact of health expenditure on the number of chronic diseases," Health Policy, Elsevier, vol. 121(9), pages 955-962.
    7. Fitzsimons, Emla & Malde, Bansi & Mesnard, Alice & Vera-Hernández, Marcos, 2016. "Nutrition, information and household behavior: Experimental evidence from Malawi," Journal of Development Economics, Elsevier, vol. 122(C), pages 113-126.
    8. Ronald Hagan & Andrew M. Jones & Nigel Rice, 2009. "Health and Retirement in Europe," IJERPH, MDPI, vol. 6(10), pages 1-20, October.
    9. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    10. Eric J. Tchetgen Tchetgen & Kathleen E. Wirth, 2017. "A general instrumental variable framework for regression analysis with outcome missing not at random," Biometrics, The International Biometric Society, vol. 73(4), pages 1123-1131, December.
    11. 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.
    12. Andrew E. Clark, 2006. "A Note on Unhappiness and Unemployment Duration," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 52(4), pages 291-308.
    13. Maria Chiuri & Daniela Del Boca, 2010. "Home-leaving decisions of daughters and sons," Review of Economics of the Household, Springer, vol. 8(3), pages 393-408, September.
    14. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    15. Leonardo Becchetti & Pierluigi Conzo & Fabio Pisani, 2018. "Education and health in Europe," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1362-1377, March.
    16. Michael Fertig & Stefanie Schurer, 2007. "Earnings Assimilation of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," SOEPpapers on Multidisciplinary Panel Data Research 30, DIW Berlin, The German Socio-Economic Panel (SOEP).
    17. James X. Sullivan, 2006. "Welfare Reform, Saving, and Vehicle Ownership: Do Asset Limits and Vehicle Exemptions Matter?," Journal of Human Resources, University of Wisconsin Press, vol. 41(1).
    18. Lusk, Jayson L., 2012. "The political ideology of food," Food Policy, Elsevier, vol. 37(5), pages 530-542.
    19. Shin, Jaeun & Moon, Sangho, 2006. "Fertility, relative wages, and labor market decisions: A case of female teachers," Economics of Education Review, Elsevier, vol. 25(6), pages 591-604, December.
    20. Oliver Lipps & Florence Moreau-Gruet, 2010. "Change of individual BMI in Switzerland and the USA: a multilevel model for growth," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(4), pages 299-306, August.

    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:38:y:2022:i:4:p:1051-1067:n:5. 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.