Web Survey Bibliography
A core tenet of survey research is that the inferences one makes about the population can only be as good as the quality of the respondents in the sample. However, with declines in probability sample response rates and increases in non-probability Internet-based research, researchers have found it increasingly difficult to agree on the quality of a survey sample. Contributing to this difficulty is the variety of research studies that have evaluated the quality of survey data derived from probability-based and non-probability-based sources and the effectiveness of statistical methods to reduce error in data from
these sources. Specifically, some research has documented a greater average error among non-probability samples relative to probability samples (Chang & Krosnick, 2009; Yeager et al., in press), while other research has found few or small differences between the two. Other research has pointed to greater variability in results from surveys non-probability samples of Internet volunteers. For instance, Dedeker (2006) conducted the same study twice on the same Internet survey panel and reached two different business conclusions. An additional study found five to ten times greater variability in error among a sample of seven Internet surveys of non-probability samples versus seven probability sample surveys (Yeager et al., in press). Similarly-sized variability was found in the National Dutch Online Panel Comparison Study. Relatedly, statistical methods such as post-stratification survey weighting have inconsistent effects on non-probability sample surveys, and in some cases increase survey error. It is critically important to synthesize the survey accuracy studies summarized above as well as others. The present study will evaluate the evidence from more than 45 different studies have assessed the accuracy of non-probability sample surveys and the effectiveness of methods to improve their accuracy,
with the aim of helping researchers and consumers to have more informed expectations about data quality in their surveys.
Conference Homepage (abstract)
Web survey bibliography (4086)
- Mixed-mode design and Mode Effect in Surveying Military Veterans; 2012; Wang, W., Morin, R., Parker, K.
- Assessing Measurement Equivalence and Bias of Questions in Mixed-mode Surveys Under Controlled Sample...; 2012; Klausch, L. T., Hox, J., Schouten, B.
- Maximizing Survey Participation for Retail Customers by Understanding Survey Mode and Incentive Preferences...; 2012; Cardador, J.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Some Thoughts on a Framework for Statistical Inference from Nonprobability Samples; 2012; Santos, R.
- Addressed-Based Sampling - A Better Sample? Exploring the Benefits of Using Addressed-Based Sampling...; 2012; Ellis, J. M., Rexrode, D. L.
- Data Quality from Low Cost Data Collection Methodologies; 2012; Traugott, M. W.
- A Typology and Review of Web Evaluation Strategies; 2012; Wiggins, B., Romano Bergstrom, J. C., Turner, S.
- Drop-Off Point for Undergraduate Students on a Web-based Alcohol and Tobacco Use Questionnaire; 2012; Mitra, A.
- An Examination of the 2010 Census Be Counted Program and Its Effects on Census Coverage and Duplication...; 2012; Jackson, G. I., Wechter, K. M.
- Dual Frame Sample and Mixed Mode Survey Strategy for Improving Coverage Error; 2012; Tarnai, J., Pfingst, L., Solet, D.
- A Demonstration of a Multi-Platform Mobile Survey Application: SurveyPulseTM, by RTI International; 2012; Roe, D. J., Zhang, Yu., Keating, M.
- Turn that Frown Upside-Down: The Effects of Smiley Faces as Symbolic Language in Self-administered Surveys...; 2012; Libman, A., Smyth, J. D.
- To Weight, or Not to Weight, That is the Question: Survey Weights and Multivariate Analysis; 2012; Young, R., Johnson, D. R.
- Investigating the Impact of the Number of Grid Items on Web Survey Responses; 2012; Guo, F., Nunge, E.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- The JanDY Online Survey System; 2012; Kamstra, J., Henley, M., Johnson, M.
- The Detection and Effects of Data From Potentially Ineligible Participants in Online Survey Research...; 2012; Grey, J.
- Guidelines for developing a robust web survey; 2012; Naithani, P.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Different Transport Modes; 2012; Diana, M.
- Bringing data from an online survey or spreadsheet into SPSS; 2012; Raftery, D.
- Using e-surveys to access the views of football fans within online communities; 2012; Gibbons, T., Nuttall, D.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Exploring the impact of animation-based questionnaire on conducting a web-based educational survey and...; 2012; Chien, Y.-T., Chang, C.-Y.
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Online and Paper-Based: A Mixed-Method Approach to Conducting a Needs Assessment Survey of Physicians...; 2012; Olatunbosun, T., Wu, C., Grewal, G., Lynn, B.
- The “frequency divide”: implications for internet-based surveys; 2012; Vicente, P., Reis, E.
- Effects of Personalized Versus Generic Implementation of an Intra-Organizational Online Survey on Psychological...; 2012; Mueller, K., Straatmann, T., Hattrup, K., Jochum, M.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- Increasing Response Rate in Web-Based/Internet Surveys; 2012; Manzo, A. N., Burke, J. M.
- 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.
- A Systematic Review of Studies Investigating the Quality of Data Obtained with Online Panels; 2012; Callegaro, M., Villar, A., Krosnick, J. A., Yeager, D. S.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Surveytainment 2.0: Why investing 10 more minutes more in constructing your questionnaire is worth considering...; 2012; Muehle, A., Tress, F., Schmidt, S., Winkler, T.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Time use data collection using Smartphones: Results of a pilot study among experienced and inexperienced...; 2012; Scherpenzeel, A., Sonck, N., Fernee, H., Morren, Me.
- Scrutinizing Dynamics – Rolling panel waves in theory and practice; 2012; Faas, T., Blumenberg, J. N.
- Do Mail and Internet Surveys Produce Different Item Nonresponse Rates? An Experiment Using Random Mode...; 2012; Millar, M. M., Dillman, D. A.
- Item Nonresponse in a Client Survey of the General Public; 2012; Israel, G. D., Lamm, A. J.
- Comparing Item Nonresponse across Different Delivery Modes in General Population Surveys; 2012; Lesser, V. M., Newton, L., Yang, D.
- Determinants of Item Nonresponse to Web and Mail Respondents in Three Address-Based Mixed-Mode Surveys...; 2012; Messer, B. L., Edwards, M. L., Dillman, D. A.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- Automatic Forwarding on Web Surveys – Some Outlines and Remarks; 2012; Selkaelae, A.
- Thinking, Planning & Operationalizing Empirical Mixed Methods Research Design; 2012; Ruhi, U.
- Continuous large-scale volunteer web-surveys: The experience of Lohnspiegel and WageIndicator; 2012; Oez, F.