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 (4086)
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- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
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- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.