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 (286)
- Paradata as an aide to questionnaire design: Improving quality and reducing burden; 2017; Timm, E.; Stewart, J.; Sidney, I.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.
- Using Mixed Methods to Research the Professional Development Needs of English Teacher Educators in PCET...; 2017; Eliahoo, R.
- The Failure of the Polls: Lessons Learned from the 2015 UK Polling Disaster; 2017; Sturgis, P.
- Web based health surveys: Using a Two Step Heckman model to examine their potential for population health...; 2016; Morrissey, K.; Kinderman, P.; Pontin, E.; Tai, S.; Schwannauer, M.
- Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis; 2016; Sturgis, P.; Williams, Jo.; Brunton-Smith, I.; Moore, J.
- 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.
- Last Year Your Answer Was … The Impact of Dependent Interviewing Wording and Survey Factors on...; 2016; Al Baghal, T.
- Gamifying Questions Using Text Alone; 2016; Cape, P. J.
- Eye-tracking Social Desirability Bias; 2016; Kaminska, O.; Foulsham, T.
- Assessing targeted approach letters: effects in different modes on response rates, response speed and...; 2016; Lynn, P.
- Report of the Inquiry into the 2015 British general election opinion polls; 2016; Sturgis, P., Baker, N., Callegaro, M., Fisher, St., Green, J., Jennings, W., Kuha, J., Lauderdale, B...
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Revisiting “yes/no” versus “check all that apply”: Results from a mixed modes...; 2016; Nicolaas, G.; Campanelli, P.; Hope, S.; Jaeckle, A.; Lynn, P.
- Adapting Labour Force Survey questions from interviewer-administered modes for web self-completion in...; 2015; Betts, P.; Cubbon, B.
- Recent Books and Journals Articles in Public Opinion, Survey Methods, Survey Statistics, and Big Data...; 2015; Callegaro, M.
- Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment...; 2015; Boerger, T.
- Using equivalence testing to disentangle selection and measurement in mixed modes surveys ; 2015; Cernat, A.
- Polling Error in the 2015 UK General Election: An Analysis of YouGov’s Pre and Post-Election Polls...; 2015; Wells, A.; Rivers, D.
- The Cathie Marsh lecture: What does the failure of the polls tell us about the future of survey research...; 2015; Sturgis, P., Matheson, J.
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- Email subject lines and response rates to invitations to participate in a web survey and a face-to-face...; 2015; Sappleton, N.; Lourenco, F.
- Validity of Internet-Based Longitudinal Study Data: The Elephant in the Virtual Room; 2015; Pugh, C. A.; Summers, K. M.; Bronsvoort, M. C.; Handel, I. G.; Clements, D. N.
- Challenges with Online Research for Couples and Families: Evaluating Nonrespondents and the Differential...; 2015; Busby, D. M.; Yoshida, Ke.
- Gamification in market research: Increasing enjoyment, participant engagement and richness of data,...; 2015; Bailey, P.; Pritchard, G.; Kernohan, H.
- Going Online with a Face-to-Face Household Panel: Effects of a Mixed Mode Design on Item and Unit Non...; 2015; Burton, J.; Jaeckle, A.; Lynn, P.
- Adapting an interviewer - administered survey for web self - completion in a mixed - mode design ; 2015; Betts, P.; Cubbon, B.
- Technology and Reporting of Daily Activities – Considerations for Analysis of Behaviours in Mixed...; 2015; Fisher, K.; Gershuny, J.
- Measurement Error in Discontinuous Online Survey Panels: Panel Conditioning and Data Quality; 2015; Atkeson, L. R.; Adams, A. N.; Karp, J. A.
- The importance of scale direction between different modes; 2015; Agalioti-sgompou, V.
- The effect of response formats on data quality and comparability across online PC and smartphone surveys...; 2015; Cleary, A.; Allum, N.; Kolbas, V.
- A web-based survey of United Kingdom sedation practice in the intensive care unit; 2015; Yassin, S. M., Yassin, J., Terblanche, M., McKenzie, C. A.
- The Use of Cognitive Interviewing Methods to Evaluate Mode Effects in Survey Questions; 2014; Gray, M., Blake, M., Campanelli, P.
- FocusVision 2014 Annual MR Technology Report; 2014; Macer, T., Wilson, S.
- Do your own online surveys. DYI and self serve market research; 2014; Cary, N.
- Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison...; 2014; Erens, B.; Burkill, S.; Couper, M. P.; C., Clifton, S., Tanton, C., Phelps, A., Datta, J., Mercer,...
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options...; 2014; Al Baghal, T.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- The role of email addresses and email contact in encouraging web response in a mixed mode design ; 2014; Cernat, A., Lynn, P.
- Mixed-mode surveys of the general population - Results from the European Social Survey mixed-mode experiment...; 2014; Park, A., Humphrey, A.
- Measurement effects between CAPI and Web questionnaires in the UK Household Longitudinal Study; 2014; Lynn, P., Vannieuwenhuyze, J. T. A.
- Role of mode in respondents’ decisions to participate in IP5: findings from a qualitative follow...; 2014; Collins, D., Mitchell, Ma.
- Understanding Society Innovation Panel Wave 6: results from methodological experiments; 2014; Allum, N., Auspurg, K., Blake, M., Booker, C. L., Crossley, T. F., D'ardenne, J., Fairbrother, M., Iacovou...
- The untold story of multi-mode (online and mail) consumer panels; 2014; McCutcheon, A. L., Rao, K., Kaminska, O.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.