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For many, the very first encounter with a particular survey organisation happens upon reading a letter inviting them to take part in a survey – and first impressions matter the most. Therefore, good advance letter design is paramount in motivating people to cooperate and reducing survey nonresponse (Groves & Couper 1998, Dillman et al. 2014, etc.).
A large body of literature informs on their usefulness in mail surveys (e.g. Levine & Gordon 1958, Kephart & Bressler 1958, Ford 1967, Parsons & Medford 1972, Eisinger et al. 1974, Kanuk & Berenson 1975, Fox et al. 1988, Yammarino et al. 1991, Nicolaas et al. 2015, etc.), face-to-face surveys (e.g. Luppes 1995, Groves & Couper 1998, White et al. 1998, van den Brakel 2008, Wedemann & Farnall 2014, etc.), telephone surveys (e.g. Dillman et al. 1976, Traugott et al. 1987, Singer et al. 2000, Hembroff et al. 2005, Link & Mokdad 2005, De Leeuw et al. 2007, etc.), web surveys (e-mails and/or/vs. postal mails, e.g. Crawford et al. 2001, Goldstein & Jennings 2002, Bosnjak et al. 2007, Couper 2008, Millar & Dillman 2011, Bandilla et al. 2012, Kaplowitz et al. 2012, Luiten & de Groot 2014, Ipsos MORI 2018, Schouten et al. 2022, etc.), and mixed-mode surveys (e.g. Rao et al. 2010, Millar & Dillman 2011, Dillman et al. 2014, Dillman 2017, Dillman et al. 2017, Luiten 2019, Schouten et al. 2022, Wilson & Dickinson 2022, etc.), regarding not only cross-sectional, but also longitudinal and panel surveys (e.g. Bosnjak et al. 2007, van den Brakel 2008, Rao et al. 2010, Calderwood 2013, Lynn 2016, etc.).
Despite the large amount of knowledge thus accumulated, the field of advance letter design is still evolving, and dedicating a session to it with leading experts could not be more timely. The survey crisis triggered by the COVID-19 pandemic hit NSOs and private organisations alike in an already decades-long decline of response propensity to surveys (Luiten et al. 2020). In these challenging times, conventional methods have to be revisited, as efficiency of past practices is decreasing (Dillman et al. 2014), which the pandemic proved, too. Furthermore, the post-pandemic survey landscape may well differ significantly from pre-COVID times (see e.g. Beck et al. 2022). Therefore, for resiliency in surveys, advance letters need also to be tailored to meet the new and old challenges better, which entails developing and testing new directions and novel practices.
The session will give insight not only into the practical aspects of cutting-edge survey advance letter design and development, but also the underlying theoretical assumptions, the applied methods as well as future avenues for improvement. Regional differences will also be addressed by the diverse selection of presenting experts, for a good design factors in social–cultural characteristics of the target population as well. This enables prudently adapting instead of simply adopting practices developed for and tested on other populations.
Beyond these, the session will provide:
- in-depth understanding of different techniques: the official/mandatory approach (e.g. Dillman et al. 1996, Hagedorn et al. 2014, Barth et al. 2016, Oliver et al. 2016), the application of behavioural science techniques (e.g. Wilson & Dickinson 2022);
- insights into short- and long-term effects of the various practices;
- overview of the development process from planning phase through testing to the end-product;
- recommendations for tailoring advance letters to challenges such as the COVID-19 pandemic in a resilient and flexible advance communication framework;
- and so forth.
References:
Bandilla, W., Couper, M. P. & Kaczmirek, L. (2012): The Mode of Invitation for Web Surveys. Survey Practice, 5(3).
Barth, D., Zelenak, M. F., Asiala, M. E., Castro, E. & Roberts, A. (2016): 2015 Envelope Mandatory Messaging Test. Final Report. 2016 American Community Survey Research and Evaluation Report Memorandum Series. https://www.census.gov/content/dam/Census/library/working-papers/2016/acs/2016_Barth_01.pdf (Accessed on 14. 04. 2022.)
Beck, F., Brilhault, G., Burg, T., De Vitiis, C., Fekete-Nagy, P., Lamei, N., Mújdricza, F., O’Callaghan, F., O’Riordan, F., Romano, M. C., Sillard, P., Smukavec, A., Stare, M. & Vereczkei, Z. (2022): Position Paper on Mixed-Mode Surveys. 2022 Edition. Statistical Working Papers, Eurostat. Luxembourg: Publications Office of the European Union. http://dx.doi.org/10.2785/694482 (Accessed on 02. 05. 2022.)
Bosnjak, M., Neubarth, W., Couper, M.P., Bandilla, W. & Kaczmirek, L. (2007): Prenotification in Web-Based Access Panel Surveys: The Influence of Mobile Text Messaging Versus E-Mail on Response Rates and Sample Composition. Social Science Computer Review, 26(2), 213–223.
Calderwood, L. (2013): Improving Between-Wave Mailings on Longitudinal Surveys: A Randomised Experiment on the UK Millennium Cohort Study. Survey Research Methods, 8(2), 99–108.
Couper, M. P. (2008): Designing Effective Web Surveys. Cambridge: Cambridge University Press.
Crawford, S. D., Couper, M. P., & Lamias, M. J. (2001): Web Surveys: Perceptions of Burden. Social Science Computer Review, 19(2), 146–162.
De Leeuw, E., Callegaro, M., Hox, J., Korendijk, E. & Lensvelt-Mulders, G. (2007): The Influence of Advance Letters on Response in Telephone Surveys. A Meta-Analysis. Public Opinion Quarterly, 71(3), 413–443.
Dillman, D. A. (2017): The promise and challenge of pushing respondents to the Web in mixed-mode surveys. Survey Methodology, 46(1), 3–30.
Dillman, D. A., Hao, F., & Millar, M. M. (2017): Improving the effectiveness of online data collection by mixing survey modes. In: Fielding, N., Lee, R. M. & Blank, G. (eds.): The SAGE Handbook of Online Research Methods. Second Edition. London: Sage. pp. 220–238.
Dillman, D. A., Gallegos, J. G. & Frey, J. H. (1976): Reducing Refusal Rates for Telephone Interviews. Public Opinion Quarterly, 40(1), 66–78.
Dillman, D. A., Smyth, J. D. & Christian, L. M. (2014): Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. Hoboken, New Jersey: Wiley.
Eisinger, R. A., Janicki, W. P., Stevenson, R. L. & Thompson, W. L. (1974): Increasing Returns in International Mail Surveys. Public Opinion Quarterly, 38(1), 124–130.
Fox, R. J., Crask, M. R. & Kim, J. (1988): Mail Survey Response Rate: A Meta-Analysis of Selected Techniques for Inducing Response. Public Opinion Quarterly, 52(4), 467–491.
Goldstein, K. M. & Jennings, M. K. (2002): The Effect of Advance Letters on Cooperation in a List Sample Telephone Survey. Public Opinion Quarterly, 66(4), 608–617.
Groves, R. M. & Couper, M. P. (1998): Nonresponse in Household Interview Surveys. New York: Wiley.
Ford, N. M. (1967): The Advance Letter in Mail Surveys. Journal of Marketing Research, 4(2), 202–204.
Hagedorn, S., Panek, M. & Green, R. (2014): American Community Survey Mail Package Research: Online Visual Testing. Final Report. 2014 American Community Survey Research and Evaluation Report Memorandum Series. https://www.census.gov/content/dam/Census/library/working-papers/2014/acs/2014_Hagedorn_04.pdf (Accessed on 14. 04. 2022.)
Hembroff, L. A., Rusz, D., Rafferty, A., McGee, H. & Ehrlich, N. (2005): The Cost-Effectiveness of Alternative Advance Mailings in a Telephone Survey. Public Opinion Quarterly, 69(2), 232–245.
Ipsos MORI (2018): Labour Market Survey Response rate experiments. Report for Test 1: Materials experiment. Ipsos MORI Social Research Institute. https://gss.civilservice.gov.uk/wp-content/uploads/2018/04/Test-1_Full-report_FINAL-for-publishing.pdf (Accessed on 08. 04. 2022.)
Kanuk, L. & Berenson, C. (1975): Mail Surveys and Response Rates: A Literature Review. Journal of Marketing Research, 12(4), 440–453.
Kaplowitz, M. D., Lupi, F., Couper, M. P. & Thorp, L. (2012): The Effect of Invitation Design on Web Survey Response Rates. Social Science Computer Review, 30(3), 339–349.
Kephart, W. M. & Bressler, M. (1958): Increasing Responses to Mail Questionnaires: A Research Study. Public Opinion Quarterly, 22(2) 123–132.
Levine, S. & Gordon, G. (1958): Maximizing Returns on Mail Questionnaires. Public Opinion Quarterly, 22(4), 568–575.
Link, M. W. & Mokdad, A. (2005): Advance Letters as a Means of Improving Respondent Cooperation in Random Digit Dial Studies: A Multistate Experiment. Public Opinion Quarterly, 69(4), 527–587.
Luiten, A. (2019): Push-to-web communication with persons and households: Advance letters, reminders, flyers, envelopes, QR codes, and incentives. Study report, Mixed Mode Designs in Social Surveys (MIMOD) WP4 Appendix A. https://www.istat.it/it/files//2011/07/WP4-deliverables.zip (Accessed on 09. 08. 2020.)
Luiten, A. & de Groot, J. (2014): Advance letters in web surveys; qualitative findings to interpret quantitative results. Report, ESSnet on Data Collection for Social Surveys Using Multiple Modes (DCSS). https://ec.europa.eu/eurostat/cros/system/files/WP_III_annex_advance_letters_2.pdf (Accessed on 07. 04. 2022.)
Luiten, A., Hox, J. & de Leeuw, E. (2020): Survey Nonresponse Trends and Fieldwork Effort in the 21st Century: Results of an International Study across Countries and Surveys. Journal of Official Statistics, 36(3), 469–487.
Luppes, M. (1995): A Content Analysis of Advance Letters from Expenditure Survey of Seven Countries. Journal of Official Statistics, 11(4), 461–480.
Lynn, P. (2016): Targeted Appeals for Participation in Letters to Panel Survey Members. Public Opinion Quarterly, 80(3), 771–782.
Millar, M. M. & Dillman, D. A. (2011): Improving Response to Web and Mixed-Mode Surveys. Public Opinion Quarterly, 75(2), 249–269.
Nicolaas, G., Smith, P., Pickering, K. & Branson, C. (2015): Increasing response rates in postal surveys while controlling costs: An experimental investigation. Social Research Practice, 1, 3–16.
Oliver, B., Risley, M. & Roberts, A. (2016): 2015 Summer Mandatory Messaging Test. Final Report. 2014 American Community Survey Research and Evaluation Report Memorandum Series. https://www.census.gov/content/dam/Census/library/working-papers/2016/acs/2016_Oliver_01.pdf (Accessed on 19. 05. 2022.)
Parsons, R. J. & Medford, T. S. (1972): The Effect of Advance Notice in Mail Surveys of Homogeneous Groups. Public Opinion Quarterly, 36(2), 258–259.
Rao, K., Kaminska, O. & McCutcheon, A. L. (2010): Recruiting Probability Samples For a Multi-Mode Research Panel with Internet and Mail Components. Public Opinion Quarterly, 74(1), 68–84.
Schouten, B., van den Brakel, J., Buelens, B., Giesen, D., Luiten, A. & Meertens, V. (2022): Mixed-Moe Official Surveys. Design and Analysis. Boca Raton: CRC Press.
Singer, E., Hoewyk, J. v. & Maher, M. P. (2000): Experiments with Incentives in Telephone Surveys. Public Opinion Quarterly, 64(2), 171–188.
Traugott, M. W., Groves, R. M. & Lepkowski, J. M. (1987): Using Dual Frame Designs to Reduce Nonresponse in Telephone Surveys. Public Opinion Quarterly, 50(4), 522–539.
van den Brakel, J. A. (2008): Design-based analysis of embedded experiments with applications in the Dutch Labour Force Survey. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(3), 581–613.
Wedemann, L. & Farnall, J. (2014): Communicating with Respondents: Using Qualitative Research to Improve ONS’s Advance Letter for Social Surveys. Survey Methodology Bulletin, 72, 99–116.
White, A., Martin, J., Bennett, N. & Freeth, S. (1998): Improving advance letters for major government surveys. In Koch, Achim, Porst, Rolf, Zentrum für Umfragen, Methoden und Analysen -ZUMA- (Eds.): Nonresponse in Survey Research: Proceedings of the Eighth International Workshop on Household Survey Nonresponse, 24-16 September 1997. Mannheim, 1998 (ZUMA-Nachrichten Spezial 4). 151–171. https://nbn-resolving.org/urn:nbn:de:0168-ssoar-49720-1 (Accessed on 06. 04. 2022.)
Wilson, L. & Dickinson, E. (2022): Respondent Centred Surveys. Stop, Listen and then Design. London: SAGE.
Yammarino, F. J., Skinner, S. J. & Childers, T. L. (1991): Understanding Mail Survey Response Behavior: A Meta-Analysis. Public Opinion Quarterly, 55(4), 613–639.
Chair: Mátyás Gerencsér
Speaker: Emma Dickinson
Speaker: Mr Jelmer C. de Groot
Speaker: Elizabeth Poehler
Speaker: Ferenc Mújdricza
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