Web Survey Bibliography
Title Shorter Interviews, Longer Surveys: Optimising the survey participant experience whilst accommodating ever expanding client demands
Author Halder, A.; Bansal, H. S.; Knowles, R.; Eldridge, J.; Murray, Mi.
Year 2016
Access date 25.10.2016
Full text PDF (576 KB)
Abstract
When designing a survey we, as an industry, are often seeking a balance between competing design challenges: Clients have diverse and extensive objectives, survey participants have short attention spans and an ever increasing suite of connected devices to choose from. This paper will explore strategies on how we best balance expanding survey length with the need for concise, relevant and engaging surveys, deployed in a device agnostic format.
Survey participants are voting with their feet when surveys are not compatible with the device they want to use, whether that is the smart device in their pocket or laptop they are working on and this is very real for online panels. We are seeing increased abandon rates with the effects of extended fieldwork times, smaller pools of sample to draw from and possibility of introducing bias into our data. Having spent much of 2015 working with clients to design more smart-device friendly surveys, Research Now have explored innovative ways to shorten survey length without compromising on the amount of material covered.
Following on work from Johnson et al. (2014), Research Now conducted a piece of primary research exploring Survey Modularisation as discussed in the paper. The approach splits questionnaires into modules, with participants receiving only a specific module, a subset of the overall survey.
It is expected that a long questionnaire can be split and, when applied appropriately, designed properly and implemented effectively, data can yield results comparable with a full non-modular survey.
Building on previous industry work on this topic, and primary research conducted by Research Now, we will discuss our methodology, the results and conclusions from this work and explore opportunities to automate the approach.
The overall goal of this study and resulting paper is to explore how adapting survey research in this way improves rather than complicates the lives of both researchers and research participants. If we are not able to shorten our surveys, then survey modularization may prove to be our best hope for a complete, representative data set and we need to ensure that this is achieved accurately, confidently
and efficiently at scale.
It is expected that a long questionnaire can be split and, when applied appropriately, designed properly and implemented effectively, data can yield results comparable with a full non-modular survey.
Building on previous industry work on this topic, and primary research conducted by Research Now, we will discuss our methodology, the results and conclusions from this work and explore opportunities to automate the approach.
The overall goal of this study and resulting paper is to explore how adapting survey research in this way improves rather than complicates the lives of both researchers and research participants. If we are not able to shorten our surveys, then survey modularization may prove to be our best hope for a complete, representative data set and we need to ensure that this is achieved accurately, confidently
and efficiently at scale.
Access/Direct link Conference Homepage (Abstract) / (Full text)
Year of publication2016
Bibliographic typeConference proceedings
Web survey bibliography - 2016 (264)
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Facebook, Twitter, & Qr codes: An exploratory trial examining the feasibility of social media mechanisms...; 2016; Gu, L. L.; Skierkowski, D.; Florin, P.; Friend, K.; Ye, Y.
- Sensitive Questions in Online Surveys: An Experimental Evaluation of Different Implementations of the...; 2016; Hoglinger, M.; Jann, B.; Diekmann, A.
- Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural...; 2016; Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
- Análisis de herramientas gratuitas para el diseño de cuestionarios on-line; 2016; Montoya, L. S.; Farran, C. X.; Catala, C. M.
- Participation in an Intensive Longitudinal Study with Weekly Web Surveys Over 2.5 Years; 2016; Barber, J. S.; Kusunoki, Y.; Gatny, H. H.; Schulz, P.
- Helping respondents provide good answers in Web surveys; 2016; Couper, M. P.; Zhang, C.
- Geht’s auch mit der Maus? – Eine Methodenstudie zu Online-Befragungen in der Jugendforschung...; 2016; Heim, R.; Konowalczyk, S.; Grgic, M.; Seyda, M.; Burrmann, U.; Rauschenbach, T.
- Shorter Interviews, Longer Surveys: Optimising the survey participant experience whilst accommodating...; 2016; Halder, A.; Bansal, H. S.; Knowles, R.; Eldridge, J.; Murray, Mi.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- Are interviews costing £0.08 a waste of money? Reviewing Google Surveys for Wisdom of the Crowd...; 2016; Roughton, G.; MacKay, I.
- Observations from Twelve Years of an Annual Market Research Technology Survey; 2016; Macer, T.; Wilson, S.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- The Effects of a Delayed Incentive on Response Rates, Response Mode, Data Quality, and Sample Bias in...; 2016; McGonagle, K., Freedman, V. A.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- The Effects of Vignette Placement on Attitudes Toward Supporting Family Members; 2016; Lau, C. Q., Seltzer, J. A., Bianchi, S. M.
- Comparisons of Online Recruitment Strategies for Convenience Samples: Craigslist, Google AdWords, Facebook...; 2016; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Comparing Cognitive Interviewing and Online Probing: Do They Find Similar Results?; 2016; Meitinger, K., Behr, D.
- A new model for concept evaluation; 2016; Allen, D. R.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- A look at the unique data-gathering process behind the Harvard Impact Study; 2016; Vitale, J.
- Research gamification for quality pharmaceutical stakeholder insights; 2016; Mondry, B.; Fink, L.
- The impact of survey duration on completion rates among Millennial respondents ; 2016; Coates, D.; Bliss, M.; Vivar, X.
- SurveyTester from Knowledge Navigators ; 2016; Macer, T.
- Marrying passive and custom data for effective mobile targeting; 2016; King, K.; Stevens, N.
- Simplifying your mobile solution; 2016; Berry, K.
- How to maximize survey response rates ; 2016; DeVall, R.; Colby, C.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data; 2016; Smith, Pau.
- Patient preference: a comparison of electronic patient-completed questionnaires with paper among cancer...; 2016; Martin, P.; Brown, M.C.; Espin‐Garcia, O.; Cuffe, S.; Pringle, D.; Mahler, M.; Villeneuve, J.;...
- Mixed Mode Research: Issues in Design and Analysis; 2016; Hox, J.; De Leeuw, E. D.; Klausch, L. T.
- Does the Use of Smartphones to Participate in Web Surveys Affect the Survey Experience when Sensitive...; 2016; Toninelli, D.; Revilla, M.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Device Effects - How different screen sizes affect answers in online surveys; 2016; Fisher, B.; Bernet, F.
- Effects of motivating question types with graphical support in multi channel design studies; 2016; Luetters, H.; Friedrich-Freksa, M.; Vitt, SGoldstein, D. G.
- Analyzing Cognitive Burden of Survey Questions with Paradata: A Web Survey Experiment; 2016; Hoehne, J. K.; Schlosser, S.; Krebs, D.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- Secondary Respondent Consent in the German Family Panel; 2016; Schmiedeberg, C.; Castiglioni, L.; Schroeder, J.
- Online Focus Group Discussion is a Valid and Feasible Mode When Investigating Sensitive Topics Among...; 2016; Wettergren, L.; Eriksson, L. E.; Nilsson, J.; Jarvaeus, A.; Lampic, C.
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Optimizing Self-response for the 2020 Census ; 2016; Bentley, M.
- Improving Data Quality in a Web Survey of Youth and Teens ; 2016; Horton, V. M.; Branson, R.; Phillips, B. T.; Fowlkes, E.
- Impact of Field Period Length and Contact Attempts on Representativeness for Web Survey ; 2016; Bertoni, N.; Turakhia, C.; Magaw, R.; Ackermann, A.
- Have You Taken Your Survey Yet? Optimum Interval for Reminders in Web Panel Surveys ; 2016; Kanitkar, K. N.; Liu, D.
- Respondent Processing of Rating Scales and the Scale Direction Effect ; 2016; Caporaso, A.
- The Effects of Pictorial vs. Verbal Examples on Survey Responses ; 2016; Sun, H.; Bertling, J.; Almonte, D.
- Evaluating Grid Questions for 4th Graders; 2016; Maitland, A.