Web Survey Bibliography
Web evaluation has traditionally focused on usability testing, analytics, and site intercept (pop-up) surveys. While each of these tools is useful, each also has its drawbacks. Usability testing is often used to assess functionality, navigation, and overall site experience with a new website but provides little quantitative output. Analytics provide data on hit rates and time spent on the site but little actionable information. Site intercept surveys provide information from actual users but suffer from potential nonresponse bias. We believe experimental research must be combined with traditional web evaluation techniques. Proper evaluation methods differ depending on the research goal: testing navigation and site experience, evaluating the effectiveness of a new site, or measuring consumer satisfaction. In addition to usability testing, experimental methods, such as benchmarking a new website against existing sites, are important means of quantitatively measuring the effectiveness of a new site in meeting its objectives. The authors will discuss a benchmarking study to evaluate a new career exploration website in disseminating career, college, and military information. Between-group analyses compared the amount of information learned from the new website versus existing career exploration sites. Another experimental study compared the effectiveness of a site redesign in achieving its goal of utilizing multimedia to deliver military lifestyle information. Participants’ knowledge, attitudes, and images of military lifestyle were compared after viewing the redesigned or original website. Web evaluation should not be confined to new or redesigned websites; to create an impactful site it is important to continuously evaluate and update. The authors will discuss the role of usability testing, analytics, and site intercept surveys in combination with various experimental design options to provide actionable results for all stages of web development. A typology of experimental strategies matching web evaluation needs with different stages of web development will be presented.
Conference Homepage (abstract)
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.
