Web Survey Bibliography
There has been a trend in the use of auditory stimuli in web survey. However, its use is still considered as novel method and available references are limited. This paper identifies six important factors that can affect survey error rate and need to be anticipated when using auditory stimuli in web questionnaires. These factors were derived from a pilot survey as part of a room acoustics study where only 80 out of the 160 invited subjects completed the survey. The six factors identified are: (1) computer hardware, (2) operating system, (3) Internet connectivity, (4) how familiar the subjects are with the survey content and terminology, (5) complexity of the survey interface, and (6) space where the survey was completed. The first factor is related to the type of computer and listening device that the subject is using. Since different operating system and software environment handles and processes auditory stimuli differently, to generate the stimuli may require additional software. Also since the auditory stimuli are streamed, the speed and reliability of the subject's Internet connectivity is a significant factor to produce an uninterrupted audio flow. The characteristic of the used passage for the auditory materials more significantly affected the assessment of the speech intelligibility than the need to have trained subjects for the particular study. Since the objective of using auditory stimuli is for hearing assessment, background noise where the survey is being completed can have significant affect on the final listening experience. These findings were then used to create a new web questionnaire; where a usability study was then conducted to evaluate how effective this new design is in resolving the above issues.
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Web survey bibliography (4086)
- The Rise of Survey Programming Automation as an Alternative to Outsourcing; 2010; Ahmed, A. S., Guyer, L.
- How is Emerging Technology/Web 2.0 Changing Gathering Consumer Feedback and the Delivery of Data? ; 2010; Price, K., Patel, N.
- Sexy Questions, Dangerous Results? - Exploring the Impact of Rich Media Question Formats in Online Survey...; 2010; Malinoff, B.
- Mobile Research: New Platform, New Thinking ; 2010; Johnson, A. J., Conry, S.
- Managing Quality in Large Multi-Country / Multi-Category / Multi-Modal Studies; 2010; Thompson, J.
- Mobile Research – The future’s in their hands: Exploring the Application of Digital Research...; 2010; Dodgson, S.
- Factorial Design on Survey Router Configuration Effect by Sample Source; 2010; Fawson, B., Johnson, E. P.
- Predicting the Future with Social Media ; 2010; Asur, S., Huberman, B. A.
- News Platform Preference: Advancing the Effects of Age and Media Consumption on Political Participation...; 2010; Bachmann, I., Kaufhold, K., Lewis, S. C., de Zuniga, H. G.
- ReCal: Intercoder Reliability Calculation as a Web Service ; 2010; Freelon, D. G.
- Statistics Canada's Process Automation of On-line Survey Development and CATI Data Integration; 2010; Dubois, M.-A.
- Recruiting Online Panel Members from a Mail survey in the General Population: Results from an Exploratory...; 2010; Reuband, K. H.
- Operational Aspects of Recruiting High Internet Users via a CATI Screening on an RDD Frame; 2010; Batra, P.
- Uses of YouTube, and Other Web 2.0 Applications, in Data Collection; 2010; Franklin, J.
- Towards Usage of Web 2.0 Technology and Avatars for Web Surveys; 2010; Malakhoff, L.
- Technical Challenges in the Development and Implementation of QUEST (CARI Monitoring System); 2010; Sattaluri, S., Spain, C., Nguyen, M., Thissen, R.
- Off-the-shelf Web Software: Qualtrics; 2010; Warren, N.
- Web Based Paper Form Verification Using QueXF; 2010; Zammit, A.
- Cell Connectivity Options for Field Interviewing ; 2010; Nofziger, J., Griggs, C.
- Advance Notice Impact on Web Reporting Response Rates; 2010; Gomes, T., Harrell, L. J., Hatch Maxfield, J., Hertwig, R.
- Normalized Database Structure to Support Survey Fulfillment Operations; 2010; Sikes, N., Pittman, J., Hazel, K.
- Hatteras Survey System: On-path Validation for a Non-linear Survey Engine; 2010; Suresh, R., Allen, S., Peele, B., Rasmussen, C., Sattler, S., Suresh, P., Warmoth, E.
- When the water is right.; 2010; Andruss, P.
- The Role of Landline and Cell Phone Usage Patterns in Nonreponse Error Potential Among Young Adults...; 2010; Currivan, D. B., Levine, B., Mayo, Ni.
- Differences in Early and Late Responders: Findings from a Military Web-Based Community Survey.; 2010; Prabhakaran, J., Spera, C., Leach, L. M., Foster, R.
- Assessing Cell Phone Noncoverage Bias Across Different Topics and Subgroups; 2010; Christian, L. M., Keeter, S., Purcell, K., Smith, A.
- Using a Simulation Study to Examine Strategies for Combining Cell and Landline Survey Samples; 2010; Duffy, T., Bausch, S., Iachan, R., Lu, B.
- Representing Seniors in an Online National Probability Panel Survey: Measuring Technology Attitudes...; 2010; Peugh, J., Mansfield, W., Wells, T., Semans, K.
- Communicating Disclosure Risk in Informed Consent Statements; 2010; Singer, E., Couper, M. P.
- Meeting the Challenges of Converting a Large Establishment Survey from Paper to Electronic Administration...; 2010; Roe, D. J., Thalji, L., Loft, J., Flicker, L., Stockdale, J., Stagnitti, M.
- Assessing the Accuracy of the Face-to-Face Recruited Internet Survey Platform: A Comparison of Behavioral...; 2010; Villar, A., Malka, A., Krosnick, J. A.
- Internet Panels and Health Research: Findings from National RDD Surveys.; 2010; Boyle, J.
- Item Nonresponse Analysis for a Mixed-Mode Survey.; 2010; Lorenc, B., Olsson, K.
- Significant Factors Governing the Use of Auditory Stimuli in Web Questionnaires; 2010; Utami, S. S., Dawood, R., Navvab, M.
- The Subject Lines of Web Survey Invitations and Participation Rates; 2010; Titiz, H., Ziniel, S.
- Experimental Trial of Benefit Appeals on Completion Rates for the Agricultural Screening Survey; 2010; Atkinson, D., Moore, D., McCarthy, J. S.
- Using Overt and Covert Survey Traps to Maximize Data Quality; 2010; Cardador, J., Wayman, M., Sheridan, M.
- Professional Web Respondents and Data Quality; 2010; Conrad, F. G., Tourangeau, R., Couper, M. P., Zhang, C.
- Does Making The Survey Topic More Salient Lead To An Expert Bias? – The Influence of Announcing...; 2010; Keusch, F., Mayerhofer, W., Weilbuchner, N., Jungreithmaier, S.
- Time Related Inconsistencies in Global Online Panels; 2010; Gittelman, S. H., Trimarchi, E.
- Study of Non-Probability Sample Internet Surveys' Estimates of Consumer Product Usage and Demographic...; 2010; Yeager, D. S., Carter, A., Tewoldemedhin, H., Krosnick, J. A.
- An Experiment to Test the Feasibility and Quality of a Web-Based Questionnaire of Teachers; 2010; Jacob, R., Scott, L., Rowan, B.
- Impact of Monetary Incentives and Web Survey Option in the 2008 National Survey of Recent College Graduates...; 2010; Heaviside, S., Jang, D., Mooney, G., Barrett, K., Kang, K. H.
- Response Mode and Bias Analysis in the IRS' Individual Taxpayer Burden Survey; 2010; Masken, K., Contos, G., Nord, R., Brick, J. M.
- Diversity of Methods: Assessment of Quantitative and Qualitative Research Multiplier Effects.; 2010; Ballou, J., Roff, B., Anderson, M.
- Does Providing a Choice of Survey Modes Influence Response?; 2010; Lesser, V. M., Newton, L., Yang, D.
- Improving Response to Mail and Web Mixed-Mode Surveys: The Effects of Offering Choice on Survey Response...; 2010; Millar, M. M., Dillman, D. A.
- Participant Dropout as a Function of Survey Length in Internet-Mediated University Studies: Implications...; 2010; Hoerger, M.
- Internet Access: Is Everyone Online Yet and Can We Survey Them There?; 2010; Smith, Co., Spitz, G.
- Panel management in a mixed-mode (Web/mobile) research world ; 2010; Townsend, L.