Web Survey Bibliography
When designing questionnaires, many choices have to be made. Because the consequences of these choices for the quality of the questions are largely unknown, it has often been said that designing a questionnaire is an art. To make it a more scientific activity we need to know more about the consequences of these choices. In order to further such an approach we have: 1. made an inventory of the choices to be made when designing survey questions and created a code book to transform these question characteristics into the independent variables for explaining quality of survey questions; 2. assembled a large set of studies that use Multi-trait Multi-method experiments to estimate the reliability and validity of questions 3. carried out a meta-analysis that relates these question characteristics to the reliability and validity estimates of the questions. On the basis of the results of these efforts we have constructed a database. This data base contains at present 1023 measurement instruments based on 87 experiments conducted on random samples from sometimes regional but mostly national samples of 300 to 2000 respondents. The database contains information on studies of reliability and validity of survey questions formulated in three different languages: English, German and Dutch. The purpose of this study was to generate cross national generalizations of the findings published so far drawn from national studies. This analysis provides a quantitative estimate of the effects of the different choices on the reliability, validity and the method effects.
Web survey bibliography - Survey Research Methods (34)
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Can we assess representativeness of cross-national surveys using the education variable?; 2016; Ortmanns, V.; Schneider, S.
- Smartphones vs PCs: Does the Device Affect the Web Survey Experience and the Measurement Error for...; 2016; Toninelli, D.; Revilla, M.
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Sensitive Questions in Online Surveys: An Experimental Evaluation of Different Implementations of the...; 2016; Hoglinger, M.; Jann, B.; Diekmann, A.
- Helping respondents provide good answers in Web surveys; 2016; Couper, M. P.; Zhang, C.
- Stable Relationships, Stable Participation? The Effects of Partnership Dissolution and Changes in Relationship...; 2016; Mueller, B.; Castiglioni, L.
- Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland...; 2016; Vandenplas, C.; Joye, D.; Staehli, M. E.; Pollien, A.
- Sunday shopping – The case of three surveys; 2016; Bethlehem, J.
- Revisiting “yes/no” versus “check all that apply”: Results from a mixed modes...; 2016; Nicolaas, G.; Campanelli, P.; Hope, S.; Jaeckle, A.; Lynn, P.
- Going Online with a Face-to-Face Household Panel: Effects of a Mixed Mode Design on Item and Unit Non...; 2015; Burton, J.; Jaeckle, A.; Lynn, P.
- Impact of mixed modes on measurement errors and estimates of change in panel data; 2015; Cernat, A.
- Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options...; 2014; Al Baghal, T.
- The Effect of Answering in a Preferred Versus a Non-Preferred Survey Mode on Measurement; 2014; Smyth, J. D., Olson, K., Kasabian, A.
- Speeding in Web Surveys: The tendency to answer very fast and its association with straightlining; 2013; Conrad, F. G.; Zhang, Che.
- The Recruitment of the Access Panel of German Official Statistics from a Large Survey in 2006: Empirical...; 2013; Amarov, B.; Rendtel, U.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Is the Sky Falling? New Technology, Changing Media, and the Future of Surveys; 2013; Couper, M. P.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data; 2012; Sakshaug, J. W., Kreuter, F.
- Quality in Unimode and Mixed-Mode designs: A Multitrait-Multimethod approach; 2010; Revilla, M.
- Elaborate Item Count Questioning: Why Do People Underreport in Item Count Responses?; 2010; Hirai, Y., Tsuchiya, Ta.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Does Visual Appeal Matter? Effects of Web Survey Aesthetics on Survey Quality; 2010; Mahon-Haft, T., Dillman, D. A.
- The Mobile-only Population in Portugal and Its Impact in a Dual Frame Telephone Survey; 2009; Vicente, P., Reis, E.
- Impact of mixed survey modes on physical activity and fruit/vegetable consumption: A longitudinal study...; 2009; Nigg, C. R., Motl, R. W., Wong, K. T., Yoda L. U., McCurdy, D. K., Paxton, R., Horwath, C. C., Dishman...
- Nonresponse in the Recruitment of an Internet Panel Based on Probability Sampling; 2009; Hoogendoorn, A., Daalmans, J.
- Differential response rates in postal and Web-based surveys in older respondents; 2009; Bech, M., Kristensen, M. B.
- An evaluation of the weighting procedures for an online access panel survey; 2008; Loosveldt, G., Sonck, N.
- Internet Surveys: Can Statistical Adjustments Eliminate Coverage Bias?; 2008; Dever, J. A., Rafferty, A., Valliant, R. L.
- Estimation of the effects of measurement characteristics on the quality of survey questions; 2007; Saris, W. E., Gallhofer, I.