Web Survey Bibliography
The growth of online survey research over about the last 15 years has been truly remarkable. While estimates vary, most agree that online now accounts for somewhere between one third and one half of the total volume of survey data collection being done by US market research firms (See, for example, ESOMAR, 2009). Key to this growth has been the positioning of online as a faster and less expensive method capable of delivering the same or better survey results as traditional methods (telephone, mail, and in-person). Indeed, online often is the least expensive and fastest survey method for studying
a wide range of business problems, although this speed advantage is clearest when samples sizes are large and/or expected incidence is low. It is less certain that the survey results achieved are comparable to other methods, especially in those cases where one of the objectives is to accurately measure some characteristic, attitude, or behavior in a target population, whether it be a customer base, individuals with certain characteristics, or the general population.
This issue of accuracy is the main focus in this paper. In it we offer a framework for evaluating an online design versus a telephone design when a central goal of the research is to produce an accurate estimate of some personal characteristic,
attitude or behavior in a target population. In this context, accuracy means a survey result that is as close as possible to the “true value” in that population. We recognize that not all research has as its goal the development of accurate estimates of population values.
For example, in some instances directional measures may be sufficient. In others we might only want to test hypotheses about the interrelationships among characteristics, attitudes, and buying behavior. Under these and similar circumstances we might well use different criteria than described below to select a data collection method.
Market Strategies International (abstract) / (full text)
Web Survey Bibliography - 2010 (397)
- E-mail Experiments in Web Surveys; 2010; Hupp, A., Murray-Close, M.
- Advance Notice Impact on Web Reporting Response Rates; 2010; Gomes, T., Harrell, L. J., Hatch Maxfield, J., Hertwig, R.
- Web Surveys in the Social Sciences: An Overview ; 2010; Frippiat, D., Marquis, N.
- 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.
- Using User Mode Linux For Web Surveys; 2010; Vogel, D.
- Nonresponse Error, Measurement Error and Mode of Data Collection: Tradeoffs in a Multi-Mode Survey; 2010; Sakshaug, J. W., Tourangeau, R., Yan, T.
- Item Non-response Differences Between Web and Mail Surveys of the General Public; 2010; Dillman, D. A., Edwards, M. L., Messer, B. L., Millar, M. M.
- Mode Effect or Question Wording? Source of Measurement Error in Mixed Mode Surveys; 2010; de Leeuw, E. D., Hox, J., Scherpenzeel, A., Stam, S., Zandvliet, R.
- Beyond the Blank-Canvas Approach ; 2010
- When the water is right.; 2010; Andruss, P.
- Online Surveys For Dummies; 2010; Bhaskaran, V., LeClaire, J.
- The Role of Landline and Cell Phone Usage Patterns in Nonreponse Error Potential Among Young Adults...; 2010; Currivan, D. B., Levine, B., Mayo, N.
- 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.
- An Examination of Panel Conditioning in an Advertising Tracking Study with Cross-Sectional Design; 2010; Anderson, A. J., Marsh, K. A., Turner, S., Marsh, S. M.
- The Unusual Suspects for Survey Non-response: A Follow-up Study with Respondents and Non- Respondents...; 2010; Lai, J. W., Bell, S., Walker, M., Link, M. W., Narciso, L., Jin, T.
- 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.
- When to Email or Not?: Determining the Best Day of the Week to Send Evites For Participation in a Web...; 2010; Epps, S. R., Hall, L., Hunter, J. A.Hall, L. M.
- Experimental Trial of Benefit Appeals on Completion Rates for the Agricultural Screening Survey; 2010; Atkinson, D., Moore, D., McCarthy, J. S.
- Mode Effect or Question Wording? Developing Robust Questions for Mixed Mode Surveys; 2010; de Leeuw, E. D., Scherpenzeel, A.
- 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.
- Nonresponse Bias and the Impact of Incentives in a Survey of Physician Members of a Professional Organization...; 2010; Buttermore, N. R.
- Economic or Social Exchange: Examining the Effects of Different Incentive Amounts in a Panel Study; 2010; Boulianne, S. J.
- The Effectiveness of an Interactive Web Survey in Decreasing Satisficing and Social Desirability Bias...; 2010; Walejko, G. K.
- Response Behaviors in Self-Administered Multiple Questionnaire Surveys; 2010; Lacey, J. N., Ramirez, C. M.
- Experimental Tests on Response Rates in Student Web Surveys: What Works and What Doesn’t; 2010; Bloom, J. D.
- Web Surveys when Databases have Incomplete Email Records: The Impact of Modifying the Method of Respondent...; 2010; Elasmar, M. G.
- An Experiment to Test the Feasibility and Quality of a Web-Based Questionnaire of Teachers; 2010; Jacob, R., Scott, L., Rowan, B.
- Web Questionnaire Usage in an Establishment Survey; 2010; Harris, S. J., Biemer, P. P., Penne, M. A.
- Visual vs. Aural Surveys: Examining the Similarities and Differences Between Survey Modes; 2010; Stapleton, C.
- Emulating Interviewers in an Online Survey: Experimental Manipulation of ‘Do-Not-Know’ Over...; 2010; Hox, J.
- The Effectiveness of Multiple Modes Among Young Adults; 2010; Anderson-Knott, M., Jorgensen, S., Armitage, J.
- Mode Effect Analysis: Paper respondents vs. Web respondents in the 2004-05 Teacher Follow-up Survey; 2010; Aritomi, T., Hill, J.
- Long-Term Efficacy of Sequential Mixed-Mode Designs on Response Rates and Cost in a Panel Survey; 2010; Levenstein, R. M., Barber, J. S., Gatny, H. H.
- Probability of Selecting Response Mode Between Paper- and Web-Based Options: Logistic Model Based on...; 2010; Murray, M.
- 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.