Web Survey Bibliography
Even before the internet became popular among the public, researchers had identified the potential problems involved in using a web-based data collection method for survey research. Probability-based web surveys are generally believed to produce data of higher quality than those from non-probability web surveys. Both of these methods, however, are subject to coverage error. This is shown by the fact that in 71% of American households, at least one member uses the internet at any location (including at home), and that only 62% of households have an internet connection from home as of October of 2007. Moreover, some subgroups of the population are more likely to be offline than others. This phenomenon is often referred to as the digital divide. Evidence also suggests that this divide may not be closing quickly enough to be dismissed by researchers who want to study a representative sample of the population. As a solution, Knowledge Networks covers the ISP charges and provides WebTVs and in some cases PC’s to its panelists (i.e., KnowledgePanel® members) who live in a household without internet access, thus closing the digital divide gap. As a result, all panel members recruited by landline RDD are able to complete surveys online, which minimizes the potential bias that can result from ignoring non-internet users. Data from KnowledgePanel® are examined to build a profile of these non-internet users to find out who they are and how they behave. In this paper, demographic characteristics of the offline population are first explored and compared to other research findings. Then, responses to a series of survey questions are analyzed using (multinomial) logistic regressions, to identify whether internet access status still makes a difference when controlled by relevant demographic variables. For example, the analysis reveals that differences in environmental behaviors between internet and non-internet users (e.g., recycling paper and glass) still exist after controlling for the relevant demographic variables.
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Web survey bibliography - Callegaro, M. (41)
- Assessing the Accuracy of 51 Nonprobability Online Panels and River Samples: A Study of the Advertising...; 2016; Yang,Y.;Callegaro,M.;Yang,Y.;Callegaro,M.;Chin,K.;Yang,Y.;Villar,A.;Callegaro, M.; Chin, K.; Krosnick...
- Report of the Inquiry into the 2015 British general election opinion polls; 2016; Sturgis, P., Baker, N., Callegaro, M., Fisher, St., Green, J., Jennings, W., Kuha, J., Lauderdale, B...
- The quality of data collected using online panels: a decade of research ; 2015; Callegaro, M.
- Metrics and Design Tool for Building and Evaluating Probability-Based Online Panels; 2015; DiSogra, C.; Callegaro, M.
- Yes-no answers versus check-all in self-administered modes ; 2015; Callegaro, M.; Henderson, V.; Murakami, M.; Tepman, Z.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Paradata in web surveys; 2013; Callegaro, M.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- 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.
- A taxonomy of paradata for web surveys and computer assisted self interviewing (Casi); 2012; Callegaro, M.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- Should we use the progress bar in online surveys? A meta-analysis of experiments manipulating progress...; 2011; Callegaro, M., Yang, Y., Villar, A.
- IVR and web administration in structured interviews utilizing rating scales: exploring the role of motivation...; 2011; Yang, Y., Callegaro, M., Bhola, D. S., Dillman, D. A.
- The Effect of Email Invitation Subject Title and Text on Online Survey Completion Rates in Internet...; 2009; Kruse, Y., Thomas, M., Nukulkij, P., Callegaro, M.
- Differences Between Internet and Non-Internet Households on Survey Items: Do These Differences Disappear...; 2009; Zhang, C., Callegaro, M., Thomas, M.
- Producing Straightlining and Item Non-Differentiation in a Web Survey: How Visual Design Plays a Role...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Do we hear different voices?: Investigating the differences between internet and non-internet users...; 2009; Zhang, C., Callegaro, M., Thomas, M., DiSogra, C.
- The Effect of Email Invitation Customization on Survey Completion Rates in an Internet Panel: A Meta...; 2009; Callegaro, M., Kruse, Y., Thomas, M., Nukulkij, P.
- Panel Conditioning and Attrition in the AP-Yahoo! News Election Panel Study; 2009; Kruse, Y., Callegaro, M., Dennis, J. M., DiSogra, C., Subias, S., Lawrence, M., Tompson, T.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
- Presentation of a Single Item versus a Grid: Effects on the Vitality and Mental Health Scales of the...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Computing Response Rates for Probability-Based Web Panels; 2009; DiSogra, C., Callegaro, M.
- Is the digital divide still closing? New evidence points to skewed online results absent non-Internet...; 2008; Callegaro, M., Wells, T.
- Effects of Pre-coding Response Options for Five Point Satisfaction Scale in Web Surveys; 2008; Callegaro, M., Wells, T., Kruse, Y.
- An implementation of a within-household selection procedure for web surveys; 2008; Callegaro, M., Osborn, L., Debell, M., Leuvano, P.
- Response options order effect and category number association: An experiment using items on a five point...; 2008; Tang, G., Callegaro, M.
- More than the digital divide?: Investigating the differences between Internet and non-Internet users; 2008; Zhang, C., Callegaro, M., Thomas, M.
- “R U in the Network?!” Using Text Messaging Interfaces as Screeners for Working Cell Phone...; 2008; Buskirk, T. D., Rao, K., Callegaro, M., Arens, Z., Steiger, D. M.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- Impact of new technologies in data collection methods; 2008; Callegaro, M.
- Key Issues in Research Accuracy: Sources of bias and error in online research; 2008; Dennis, J. M., Callegaro, M.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- The influence of advance letters on response in telephone surveys; 2007; de Leeuw, E. D., Callegaro, M., Hox, J., Korendijk, E., Lensvelt-Mulders, G. J.
- Using Text Messages in U.S. Mobile Phone Surveys ; 2007; Steeh, C. G., Buskirk, T. D., Callegaro, M.
- Response latency as an indicator of optimizing. A study comparing job applicants and job incumbents...; 2004; Callegaro, M., Yang, Y., Bhola, D. S., Dillman, D. A.
- Electronic Voting Machines – A comparison applying the principles of computer-human interaction...; 2003; Callegaro, M., Peytcheva, E.