Web Survey Bibliography
Title Observations from Twelve Years of an Annual Market Research Technology Survey
Author Macer, T.; Wilson, S.
Year 2016
Access date 25.10.2016
Full text PDF (473 KB)
Abstract
Against the theme of this year’s conference, “Are we there yet? Where technological innovation is leading research” this paper provides evidence-based observations on where technology has led research in the recent past, and where it appears to be leading now.
meaning ltd. has conducted a survey of market research companies around the world each year since 2004, looking at their use of technology. The survey includes a combination of tracking questions on the adoption of technology-based methods to detect long-term trends, as well as topical questions that vary from year to year, some of which are also repeated in subsequent years to measure change.
Now, with 12 years of data, it is possible to draw a number of conclusions about the way in which the research industry interacts with the technology that supports it, and to understand some of the transformations that have taken place. It is also possible to look at some of the areas where the rhetoric and actual experience on the ground have not been aligned and identify some of the challenges which may be unique to the research industry. Developers need to be mindful of such challenges if they are to succeed in providing useful, appropriate technology that will allow the market research Industry to continue to develop, adapt and compete for survival. The aims of this paper are to:
•Quantify significant changes that have occurred in the last decade, as well as identify those
where anticipated change has been slow to materialise;
•Examine some perennial difficulties that the market research industry appears to have with
technology development, adoption and diffusion;
•Highlight some of the current and on-going changes that emerge from the data;
•Identify areas that those developing or providing software need to pay particular attention to when supporting these changes;
•Provide specific recommendations to researchers and technology providers.
meaning ltd. has conducted a survey of market research companies around the world each year since 2004, looking at their use of technology. The survey includes a combination of tracking questions on the adoption of technology-based methods to detect long-term trends, as well as topical questions that vary from year to year, some of which are also repeated in subsequent years to measure change.
Now, with 12 years of data, it is possible to draw a number of conclusions about the way in which the research industry interacts with the technology that supports it, and to understand some of the transformations that have taken place. It is also possible to look at some of the areas where the rhetoric and actual experience on the ground have not been aligned and identify some of the challenges which may be unique to the research industry. Developers need to be mindful of such challenges if they are to succeed in providing useful, appropriate technology that will allow the market research Industry to continue to develop, adapt and compete for survival. The aims of this paper are to:
•Quantify significant changes that have occurred in the last decade, as well as identify those
where anticipated change has been slow to materialise;
•Examine some perennial difficulties that the market research industry appears to have with
technology development, adoption and diffusion;
•Highlight some of the current and on-going changes that emerge from the data;
•Identify areas that those developing or providing software need to pay particular attention to when supporting these changes;
•Provide specific recommendations to researchers and technology providers.
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.