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 - Usability, HCI (413)
- One Drink or Two: Does Quantity Depicted in an Image Affect Web Survey Responses?; 2013; Charoenruk, N., Stange, M.
- The Effects of Pushing Web in a Mixed-Mode Establishment Data Collection; 2013; Ellis, C.
- Using Web Ex to Conduct Usability Testing of an On-Line Survey Instrument; 2013; Stettler, K.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- The Distinctiveness of Online Research: Descriptive Assemblages, Unobtrusiveness, and Novel Kinds of...; 2013; Lanfrey, D.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- Using mobile devices to access the realities of youth: How identification with society influences political...; 2013; Smith, M.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Optimizing Surveys for Smartphones: Maximizing Response Rates While Minimizing Bias; 2013; Lattery, K., Park Bartolone, G., Saunders, T.
- Shorter Isn't Always Better; 2013; Burdein, I.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
- Mobile Research Risk: What Happens to Data Quality When Respondents Use a Mobile Device for a Survey...; 2013; Baker-Prewitt, J.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- The comparison of road safety survey answers between web-panel and face-to-face; Dutch results of SARTRE...; 2013; Goldenbeld, C., de Craen, S.
- Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System; 2013; Krenzke, T., Gentleman, J. F., Li, J., Moriarity, C.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- Using Online and Paper Surveys - The Effectiveness of Mixed-Mode Methodology for Populations Over 50; 2013; De Bernardo, D. H., Curtis, A.
- Who responds to website visitor satisfaction surveys?; 2013; Andreadis, I.
- Comparison of psychometric properties of internet versions of the Marlowe-Crowne Social Desirability...; 2013; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
- Online Survey Software; 2013; Baker, J. D.
- The effect of short formative diagnostic web quizzes with minimal feedback; 2013; Baelter, O., Enstroem, E., Klingenberg, B.
- Up Means Good: The Impact of Screen Position on Evaluative Ratings in Web Surveys.; 2013; Tourangeau, R., Conrad, F. G., Couper, M. P.
- WebSM Study: Speed and efficiency of online survey tools; 2012; Cehovin, G.; Vehovar, V.
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Smartphone Apps and User Engagement: Collecting Data in the Digital Era; 2012; Link, M. W.
- How Often Do You Use the App with a Bird on It? Exploring Differences in Survey Completion Times, Primacy...; 2012; Buskirk, T. D.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- Improving Survey Website Usability ; 2012; Vannette, D.
- How accurate are surveys of objective phenomena?; 2012; Chang, L. C., Krosnick, J. A.
- Pros and cons of Internet based User Satisfaction Surveys; 2012; Consoli, A., Matsulevits, L.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
