Web Survey Bibliography
Accurate measurement of any market requires knowledge and skill, but the financial services market presents a number of additional challenges. The lack of consumer engagement with the sector, the perceived sensitivity of the questions plus the major commercial value of single-source data, (that is recording the details of all the financial products held by an individual respondent), mean that interviews are long, complex and difficult to secure.
GfK has been running the British Financial Research Survey (FRS) for over 30 years, based on a representative sample of 60,000 interviews a year. In all that time data-collection has been face-to-face. However, the increasing difficulty and costs of field interviewing led us and our clients to question whether the FRS could not be migrated to an online methodology, as so many other tracking programmes had been.
Our conclusion from a major two year R & D programme was that it is simply impossible to represent retail financial services markets with a wholly online solution. Indeed, doing so will produce highly misleading measures not just of channel usage, but also brand share, product penetration and new business levels. This is due to the very different financial behaviour of those who participate in online surveys, compared not just to the population as a whole, but also to other less intensive internet users. Our work has highlighted why and how the financial behaviour of online and offline audiences differ and is of direct relevance to anyone working in the financial services sector. We have found that our new methodology for the FRS produces market estimates that are not only economically sustainable but also closer to clients’ internal data estimates.
We also believe that our innovative multi-modal approach, based on the intensity of online use, provides valuable learnings for anyone considering the migration of any market measurement study away from an offline methodology. In particular, it shows how researchers can combine, in a single study, the broad representativeness of face-to-face with the cost-efficiency and access to minority populations available via online, something which we call the ‘yin and yang of market measurement’.
Conference homepage (abstract)
Web survey bibliography (317)
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- Electronic and paper based data collection methods in library and information science research: A comparative...; 2016; Tella, A.
- Stable Relationships, Stable Participation? The Effects of Partnership Dissolution and Changes in Relationship...; 2016; Mueller, B.; Castiglioni, L.
- Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland...; 2016; Vandenplas, C.; Joye, D.; Staehli, M. E.; Pollien, A.
- The 2013 Census Test: Piloting Methods to Reduce 2020 Census Costs; 2016; Walejko, G. K.; Miller, P. V.
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Methods can matter: Where Web surveys produce different results than phone interviews; 2016; Keeter, S.
- Do Polls Still Work If People Don't Answer Their Phones?; 2016; Edwards-Levy, A.; Jackson, N. M.
- HUFFPOLLSTER: Why Reaching Latinos Is A Challenge For Pollsters; 2016; Jackson, N. M.; Edwards-Levy, A.; Velencia, J.
- Comprehension and engagement in survey interviews with virtual agents; 2016; Conrad, F. G.; Schober, M. F.; Jans, M.; Orlowski, R. A.; Nielsen, D.; Levenstein, R. M.
- An Overview of Mobile CATI Issues in Europe; 2015; Slavec, A.; Toninelli, D.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Mixed mode surveys ; 2015; Burton, J.
- Two Are Better Than One: The Use of a Mixed-Mode Data Collection to Improve the Electoral Forecast; 2014; de Rada, V. D., Pasadas del Amo, S.
- The impact of contact effort on mode-specific selection and measurement bias; 2014; Schouten, B., van der Laan, J., Cobben, F.
- How much is shorter CAWI questionnaire VS CATI questionnaire?; 2014; Bartoli, B.
- Advantages of a global multimodal print & digital readership survey; 2013; Cour, N., Saint-Joanis, G.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Evaluating the left‐right dimension: Category Selection Probing conducted in an online access...; 2013; Huefken , V.
- Methodological, legal and technical perspectives on the feasibility of web survey paradata in German...; 2013; Sattelberger, S.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Exploring patterns of academic usage: A Google Scholar based study of ESS, EVS, WVS and ISSP academic...; 2013; Malnar, B.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.
- Survey Reminder Method Experiment: An Examination of Cost Efficiency and Reminder Mode Salience in the...; 2013; Anderson, M., Rogers, B., CyBulski, K., Hall, J. W., Alderks, C. E., Milazzo-Sayre, L.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- An Evaluation of Internet Versus Paper-based Methods for Public Participation Geographic Information...; 2012; Pocewicz, A.; Nielsen-Pincus, M.; Brown, G.; Schnitzer, R.
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Specialized Tools for Measuring Past Events ; 2012; Belli, R. F.
- Modes of Data Collection; 2012; Tourangeau, R.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Using Text-to-Speech (TTS) for Audio-CASI; 2012; Couper, M. P., Kirgis, N., Buageila, S., Berglund, P.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Effects of speeding on satisficing in Mixed-Mode Surveys; 2011; Bathelt, S., Bauknecht, J.
- Web based CATI on Amazon Elastic Compute Cloud and VirtualBox using queXS; 2011; Zammit, A.
- Web/Cloud Based CATI Using queXS; 2011; Zammit, A.
- When Referring to Mode, Is Expressed Preference the Same as Reality?; 2011; Denk, K.
- Three Era's of Survey Research; 2011; Groves, R. M.
- Testing a single mode vs a mixed mode design; 2011; Laaksonen, S.