Web Survey’s Completion Rates: Effects of Forced Responses, Question Display Styles, and Subjects’ Attitude
Chatpong Tangmanee · Phattharaphong Niruttinanon
International Journal of Research in Business and Social Science · 2019 · Vol. 8 / Issue 1 · 20-29
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Abstract
In anticipating a high completion rate for web surveys, researchers must be attentive to the design features, two of which are the forced responses (i.e., 100%-, 50%, or 0%-forced) and the questionnaire item display (i.e., paging or scrolling). Moreover, the respondents’ favorable attitude towards questionnaires is a key factor driving them to complete the questionnaires. However, no studies have examined the effects of these three variables on web survey completion rates. This research thus attempts to fill this gap. Using a quasi-experiment, we obtained 401 responses to six (i.e., 3 levels of forced responses x 2 display styles) comparable online questionnaires with identical contents. The analysis confirmed the statistically significant effects of the forced responses, the item display and the subjects’ attitudes toward questionnaires on completion rates. In addition to extending theoretical insights into the factors leading to a web survey’s completion rates, practical recommendations are suggested based on the findings.
Keywords: {'name': 'Web Survey, Completion Rates, Forced Responses, Question Display Styles, Subjects’ Attitude'}
Authors & affiliations
Chatpong Tangmanee
Affiliation not supplied
Phattharaphong Niruttinanon
Affiliation not supplied
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DOI: 10.2753/MTP1069-6679180306
Babbie, E. (2014). The basics of social research . California, USA: Cengage Learning.
DOI: 10.1080/02615479.2010.539604
Batagelj, Z., Manfreda, K.L., & Vehovar, V. (2002). Design of Web Survey Questionnaires: Three Basic Experiments. Journal of computer-mediated communication.
DOI: 10.1300/J005v29n01_04
DOI: 10.1177/0894439316629932
DOI: 10.1177/1525822X08330261
DOI: 10.1177/089443930202000101
Dillman, D. A. (2007). Mail and Internet surveys: The tailored design method. Imprint New York: J. Wiley.
Electronic Transactions Development Agency (2018). Thailand internet user profile 2017. Retrieved on January 18, 2019 at https://www.etda.or.th/documents-for-download.html
Elliott, M. N., Fricker, R.D., & Schonlau, M. (2002). Conducting research survey via e-mail and the web. CA:RAND.
DOI: 10.1016/j.chb.2009.10.015
DOI: 10.1093/poq/nfp031
DOI: 10.1016/j.tourman.2017.10.007
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and Organizations: Software of the Mind. Revised and expanded third edition. New York.
DOI: 10.1177/0894439317695581
DOI: 10.1111/j.1083-6101.2002.tb00149.x
DOI: 10.1080/01449290010021764
Nunnally, J. C. (1978). Psychometric theory, 2nd edition. NY: McGraw-Hill Book Company.
DOI: 10.3758/BF03202544
DOI: 10.1093/poq/nfl028
Polonsky, M. & Vocino, A. (2010) Survey completion speed of online panelists: The role of demographics and experience. Proceeding of the 2010 Australian and New Zealand Marketing Academy Conferences, NZ.
DOI: 10.1026//1618-3169.49.4.243
DOI: 10.1002/asi.20651
Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences. 2nd edition. New York: Holt, Rinehart and Winston.
Sedley, A. & Callegaro, M. (2012). Effects of pagination on short online surveys. Proceedings of The American association for public opinion research (AAPOR), 67th Annual Conference.
DOI: 10.1097/00003643-201006121-00741
DOI: 10.1002/asi.20651
DOI: 10.2466/pms.1981.52.1.219
DOI: 10.1108/01409171011011571
Yan, T.; Conrad, F. G., Tourangeau, R., & Couper, M. P. (2007). Should I stay or should I go? The effects of progress indicators, promised duration, and questionnaire length on completing web surveys. Proceedings of The American association for public opinion research (AAPOR), 62nd Annual Conference.
DOI: 10.2196/jmir.2322