Web Survey Bibliography
The Confirmit Annual MR Software survey, now in its eighth year, is conducted annually by meaning ltd, an independent research technology consultancy in London, UK. The survey provides a unique set of information and insights into the interplay of technology and methodology within the market research industry. It provides a snapshot of current usage and attitudes and predictions from practitioners, and identifies trends from a number of tracking questions that are asked repeatedly each year. This year (and in several previous years), the survey has been kindly sponsored by Confirmit, and is therefore known as the Confirmit Market Research Software Survey. The survey comprises a sample of 230 market research companies globally, selecting individuals who are responsible for, influential in or aware of technology decisions within their company. The sample is drawn to ensure representation of three global regions: North America, Europe and Asia Pacific, balanced to represent the relative amount of research carried in these regions, according to figures published by ESOMAR. The survey consists of a self-completion interview on the Web, comprising around sixty questions and timed to last approximately fifteen minutes. Sample is obtained from a variety of sources:
- Participants who agreed to be re-contacted from the previous year’s survey
- Sample compiled by meaning ltd including
- Sample provided by the survey’s sponsor, Confirmit
- Sample from 2009 and 2010 surveys
We estimate the response rate (measured as the number of effective invitations issued, after the removal of bounce-backs, divided by the number of complete interviews achieved) to be 6% (compared with 10% in 2010). However, our invitation makes it clear that the survey is concerned with research technology, and is addressed to those who are decision-makers or influential in technology decisions, so we are aware that there is an unknown level of screening out taking place before any response is recorded. A truer measure of response would be among those eligible to participate (senior technology practitioners within research companies), and that we are unable to calculate. The survey has succeeded in including a large proportion of senior people within the target group from bona fide research companies. Furthermore, many of the trends measured by the survey show a high level of consistency with previous years, so we do consider that the findings are of value. However, due to the nature of the sample, as in pervious years, we do not attempt to estimate a margin of error, and advise caution in the interpretation of the findings. This report concludes with an analysis of the sample composition, in Chapter 11 (p, 72) The 2011 Survey, as in previous years, comprises a mixture of tracking questions and new questions for that year, which explore topics of the moment. For 2011, we have explored four such topics: Handling unstructured text (Chapter 3, p. 22), ‘New MR’ methods (Chapter 4, p. 30), Smartphone usage on conventional online surveys (Chapter 5, p. 42) and Data Visualization (Chapter 6, p. 46). Tracking questions follow in Chapters 6 onwards (starting on p. 46).
meaning Itd Homepage (abstract) / (full text)
Web survey bibliography - Marketing/business (336)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Open-ended Questions in Web Surveys: One Large vs. Ten Small Boxes; 2012; Keusch, F.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Using Webinar Polls to Collect Online Survey Data: The Case of a Behavioral Finance Problem; 2012; Sahu, C.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- A Survey Stopping Rule Based on Weighting for Unit Nonresponse; 2011; Lewis, T.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.