Web Survey Bibliography
In the design of online surveys, running tallies or constant sums are used to help respondents sum up the allocation of amounts so that the total sums to 100%. We hypothesized that for time allocation, the order of the presentation of the time categories could make a difference in the distribution of reported time spent. We expected primacy effects, with the firstpresented time category having a higher allocation of time than the later-presented options. Two independent experiments were conducted, one on a sample of Google online advertisers, and one on a general population adult sample from KnowledgePanel®. In the Google experiment, advertisers were asked to estimate percent of time to complete an online task consisting of 3 subtasks. The order of the subtasks was randomized. Consistent with our hypothesis, we found primacy effects -- the subtask presented in position 1 obtained a higher mean allocated time than when presented in later positions. In the KnoweldgePanel experiment, respondents were asked to provide running tallies of the percentage of television they typically watch during the morning, afternoon, and evening (separately for weekdays and weekends). As before, the order of the subtasks was rotated. Primacy effects were detected again, however differences by position were small and not statistically significant. Because time spent watching TV is a regular activity, viewing patterns are more likely to be encoded or ingrained in memory, and more likely to be reported reliably, with responses less susceptible to order effects. In the second experiment, we also tested the restriction that running tallies must sum to 100%. Roughly 25% of respondents were prompted for out-of-range sums on the first tally (weekday) and 5% were prompted on the second tally (weekend). This drop-off in prompting indicates that respondents quickly learned what is required to complete a given task.
Conference Homepage (abstract)
Web Survey Bibliography - Marketing/business (687)
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- Survey quality prediction system 2.0; 2013
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Measuring wages via a volunteer web survey – a cross-national analysis of item nonresponse; 2013; Steinmetz, S., Annmaria, B.
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Prison break: Releasing offline experiments from methodological constraints by transforming them into...; 2013; Förstel, H., Manthei, K., Mohnen, A., Berger, G.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- 'Ready to complete the survey on Facebook': Web 2.0 as a research tool in business studies; 2013; Gregori, A., Baltar, F.
- Unintentional mobile respondents; 2012; Peterson, G.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Not just playing around; 2012; Ewing, T.
- MRS Guidelines for online reseach; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Mobile email opens report 2nd half 2011; 2012
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Global market research 2012; 2012
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Qualitatively Speaking: The five absolute, no-excuse must-dos for online qualitative researchers; 2012; Rossow, A.
- By the Numbers: Lessons for using online panels in B2B research; 2012; Elsner, N.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Developments and the impact of smart technology; 2012; Macer, T.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Research in the Mobile Mindset: Exploring the unexplored in the mobile research space; 2012; Willems, A., Veris, E., Verhaeghe, A.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Improving Representativeness In Online Surveys Using A Combined Internet/Postal Approach: Evidence From...; 2012; Atorough, P., Donaldson, B., Harris, A.
- Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment.; 2012; Potoglou, D., Kanaroglou, P. S., Robinson, N.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Measuring work activities and skill requirements of occupations: Experiences from a European pilot study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- Myths and realities of respondent engagement in online surveys; 2012; Downes-Le Guin, T., Baker, R. P., Mechling, J., Ruyle, E.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- Demonstration of an Integrated Sample Management System for a Mixed Mode (Paper/Web) Survey; 2012; Ullman, E., Peng, H., Helppie McFall, B.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T.,
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
