PL EN


2018 | 27 | 23-40
Article title

The selection of Survey Modes on the Basis of Respondents' Preference Analysis

Authors
Content
Title variants
Languages of publication
EN
Abstracts
EN
The following study addresses the problem of predicting the respondents’ survey preferences when implementing a mixed-mode survey design. Most previous experimental research implies that offering respondents the choice of modes results in a drop in response rates. The consequence of that effect is a need to establish survey mode preference predictors that will make the improvement of mixed-mode survey quality possible. Sending a request for participation in the applied mode to a subcategory of the sample, the one we suppose would most likely prefer that mode, can raise response rates, and quality of measurement, and sometimes reduce the costs of the research. Because of the practical aspect, these predictors should be included or be deducible from the survey frame and restricted to the specific socio-cultural area. This article will include an overview both of strategies of mode preference research and of possible predictors of preference itself. Then the ESS Mixed Mode Experiment from 2015 conducted by the team from the Polish Academy of Sciences will be presented. The data from this experiment was used to create logistic regression models analyzing which socio-demographic variables influence the mode preference among Polish respondents. One possible application is use of the conclusions to address future participation requests, which will be based on the mode probably preferred by the specific sample members.
Year
Volume
27
Pages
23-40
Physical description
Dates
published
2018
Contributors
author
  • Institute of Sociology, Adam Mickiewicz University
References
  • Constantinidou, Fofi and Susan Baker. 2002. ‘Stimulus Modality and Verbal Learning Performance in Normal Aging’. Brain and Language 82(3):296–311. DOI: 10.1016/S0093-934X(02)00018-4.Diment, K. and S. Garrett-Jones. 2007. ‘How Demographic Characteristics Affect Mode Preference in a Postal/Web Mixed-Mode Survey of Australian Researchers’. Social Science Computer Review 25(3):410–17. DOI: 10.1177/0894439306295393.ESS Round 7: European Social Survey. 2016. ESS7 - 2014 Documentation Report v. 3.1. Bergen: European Social Survey Data Archive, NSD - Norwegian Centre for Research Data for ESS ERIC.Groves, Robert. 2006. ‘Nonresponse Rates and Nonresponse Bias in Household Surveys: What Do We Know about the Linkage between Nonresponse Rates and Nonresponse Bias?’ Public Opinion Quarterly 70(5):646–75. DOI: 10.1093/poq/nfl033.Groves, Robert M. and Mick P. Couper. 1998. Nonresponse in Household Interview Surveys. New York: John Wiley & Sons.Groves, Robert M. and Robert L. Kahn. 1979. Surveys by Telephone : A National Comparison with Personal Interviews. New York: Academic Press.Haan, Marieke, Yfke P. Ongena, and Kees Aarts. 2014. ‘Reaching Hard-to-Survey Populations: Mode Choice and Mode Preference’. Journal of Official Statistics 30(2):355–79. DOI: 10.2478/jos-2014-0021i.Jabkowski, Piotr. 2015. Reprezentatywność Badań Reprezentatywnych: Analiza Wybranych Problemów Metodologicznych Oraz Praktycznych w Paradygmacie Całkowitego Błędu Pomiaru. Poznań: Wydawnictwo Naukowe Uniwersytetu im. Adama Mickiewicza.Kleinbaum, David G. and Mitchel Klein. 2010. Logistic Regression. New York: Springer.Kohler, Ulrich. 2007. ‘Surveys from inside: An Assessment of Unit Nonresponse Bias with Internal Criteria’. Survey Research Methods 1(2):55–67.Kumar, Navnit and Brajesh Priyadarshi. 2013. ‘Differential Effect of Aging on Verbal and Visuo-Spatial Working Memory.’ Aging and Disease 4(4):170–77.Martin, Peter and Peter Lynn. 2011. ‘The Effects of Mixed Mode Survey Designs on Simple and Complex Analyses’. ISER Working Paper Series 1–34.Medway, Rebecca L. and Jenna Fulton. 2012. ‘When More Gets You Less: A Meta-Analysis of the Effect of Concurrent Web Options on Mail Survey Response Rates’. Public Opinion Quarterly 76(4):733–46. DOI: 10.1093/poq/nfs047.Millar, Morgan M., Allison C. O’Neill, and Don A. Dillman. 2009. Are Mode Preferences Real? Pullman W.A.Olson, Kristen, Jolene D. Smyth, and Heather M. Wood. 2012. ‘Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates? An Experimental Examination’. Public Opinion Quarterly 76(4):611–35. DOI: 10.1093/poq/nfs024.Rossi, Peter H., James D. Wright, and Andy B. Anderson. 1983. Handbook of Survey Research. New York N.Y. ; London: Academic Press.Smyth, Jolene D., Kristen Olson, and Alian Kasabian. 2014. ‘The Effect of Answering in a Preferred Versus a Non-Preferred Survey Mode on Measurement’. Survey Research Methods 8(3):137–52.Smyth, Jolene D., Kristen Olson, and Morgan M. Millar. 2014. ‘Identifying Predictors of Survey Mode Preference’. Social Science Research 48:135–44. DOI: 10.1016/j.ssresearch.2014.06.002.Stanisz, Andrzej. 2016. Modele Regresji Logistycznej. Zastosowania w Medycynie, Naukach Przyrodniczych i Społecznych. Kraków: StatSoft Polska.Stoop, Ineke, Jaak Billiet, Achim Koch, and Rory Fitzgerald. 2010. Improving Survey Response: Lessons Learned from the European Social Survey. Chichester: John Wiley & Sons, Ltd.Sztabiński, Franciszek and Teresa Żmijewska-Jędrzejczyk. 2012. ‘Mixed Mode Survey Design: Problem Efektu Techniki’. Przegląd Socjologiczny 61(1):31–63.Sztabiński, Paweł B. and Franciszek Sztabiński. 2016. ‘Does Mixed Mode Data Collection Improve the Achieved Sample? A Comparison of the ESS PAPI Survey and a Mixed Mode Experiment’. Retrieved 22 September 2017 (www.ifispan.pl/wp-content/uploads/2016/03/PBS_FS_Sztabinski_ESS7_dissconf.pdf).Toothaker, Larry. 1993. Multiple Comparison Procedures. Thousand Oaks: SAGE.Tourangeau, Roger, Lance J. Rips, and Kenneth A. Rasinski. 2000. The Psychology of Survey Response. Cambridge: Cambridge University Press.Vehovar, Vasja and Katja Lozar Manfreda. 2018. ‘Overview: Online Surveys’. Pp. 143–61 in The SAGE Handbook of Online Research Methods, edited by N. Fielding, R. Lee, and G. Blank. London: SAGE Publications Ltd.Verma, Santosh K., Theodore K. Courtney, David A. Lombardi, Wen Ruey Chang, Yueng Hsiang Huang, Melanye J. Brennan, and Melissa J. Perry. 2014. ‘Internet and Telephonic IVR Mixed-Mode Survey for Longitudinal Studies: Choice, Retention, and Data Equivalency’. Annals of Epidemiology 24(1):72–74. DOI: 10.1016/j.annepidem.2013.10.004.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-08830114-9d26-4415-b5b0-861f341274e3
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