Web Survey Bibliography
There are many different sample sources used today in market and opinion research. Based on number of studies being fielded and dollar volume, two of the most common sample sources in web-based research are river samples and non-probability panels. A non-probability panel recruits respondents in a number of different ways to collect together a group of people who will complete a number of surveys over time. While studies employing non-probability panels have an extensive history of use going back to the 1950s, river samples became more prominent in the past 10 years for web-based studies. A river sample recruits respondents on an ad hoc basis using online pop-up ads and other online recruitment techniques. Once river respondents respond to an invitation they are typically directed to an initial survey that screens them with demographic questions and other topic-relevant questions and then passes them over to ongoing surveys based on quota needs of a number of simultaneous live surveys. This study focused on whether experimental effects are similar in both direction and size in both types of samples. Respondents were randomly assigned to either a yes-no grid, a multiple response format (‘select all’), or a household combination grid to determine the purchase of a series of 16 products. We found similar effects for both sample sources in experimental effects – the combination grid had the highest incidence; the multiple response format was associated with lowest incidence. Though relative order of the results were similar, the river sample showed generally higher incidence for all product types across experimental conditions, however, the differences became smaller after controlling for demographic differences and self-rated consumer style (a series of measures to determine consumer orientation). We examine and propose additional analyses that could lead to reductions in differences in sample source outcomes.
Conference Homepage (abstract)
Web survey bibliography - Thomas, R. K. (35)
- Quota Controls in Survey Research.; 2016; Gittelman, S. H.; Thomas, R. K.; Lavrakas, P. J.; Lange, V.
- Scientific Surveys Based on Incomplete Sampling Frames and High Rates of Nonresponse; 2016; Fahimi, M.; Barlas, F. M.; Thomas, R. K.; Buttermore, N. R.
- On the Go: How Mobile Participants Affect Survey Results; 2015; Barlas, F. M.; Thomas, R. K.
- The Matrix Lives On: Improving Grids for Online Surveys; 2015; Thomas, R. K.; Barlas, F. M.; Graham, P.; Subias, T.
- Purposefully Mobile: Experimentally Assessing Device Effects in an Online Survey ; 2015; Barlas, F. M.; Thomas, R. K.; Graham, P.
- Sub-optimal Respondent Behavior and Data Quality in Online Surveys; 2015; Thomas, R. K.
- Respondents Playing Fast and Loose?: Antecedents and Consequences of Respondent Speed of Completion; 2014; Thomas, R. K., Barlas, F. M.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Watch Your Language!: The Impact of the Survey Language on Bilingual Hispanics’ Response Process...; 2013; Ay, M., Gross, W., Cobb, C. L., Thomas, R. K.
- Changing of the Guard: Effects of Different Self-Administered Survey Modes on Sensitive Questions; 2013; Barlas, F. M., Higgins, W. B., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Response Format Effects in the Measurement of Employment; 2013; Rodkin, S., Thomas, R. K., Subias, S., Chu, C.
- Impact of Filter Questions on Estimates of Media Consumption; 2013; Cobb, C. L., Godinez, D., Thomas, R. K., Baim, J.
- Effects of Response Format on Measurement of Readership; 2013; Thomas, R. K., Cobb, C. L., Baim, J.
- A Shot in the Dark: Measurement Influence on Likelihood to Vaccination; 2012; Higgins, W. B., Thomas, R. K.
- Response Anchoring and Polarity Effects on Endorsement and Response Patterns; 2012; Higgins, W. B., Thomas, R. K.
- I Got a Feeling: Comparison of Feeling Thermometers with Verbally Labeled Scales in Attitude Measurement...; 2012; Thomas, R. K., Bremer, J.
- The River Flows: Comparison of Experimental Effect Replicability with Different Sample Sources; 2012; Thomas, R. K.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Cross-country Comparisons: Effects of Scale Type and Response Style Differences; 2011; Thomas, R. K.
- A Comparison of Branching Response Formats with Single Response Formats; 2011; Thomas, R. K.
- An Injured Party?: A Comparison of Political Party Response Formats in Party Identification.; 2011; Schwarz, S., Barlas, F. M., Thomas, R. K., Corso, R. A., Szoc, R.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Comparing Adolescent Response Bias Between Internet and Telephone Surveys ; 2009; Klein, J. D., Graff Havens, C., Thomas, R. K.
- Parallel Phone and Web-based Interviews: Effects of Sample and Weighting on Comparability and Validity...; 2008; Thomas, R. K., Krane, D., Taylor, H., Terhanian, G.
- Response Non-Differentiation and Response Styles in Web-Based Studies: Causes and Consequences ; 2008; Frisina, L. T., Thomas, R. K.
- Truth in measurement: Comparing Web Based interviewing Techniques; 2007; Couper, M. P., Terhanian, G., Bremer, J., Thomas, R. K.
- Behavioral self-report measures. International extensions; 2006; Thomas, R. K., Klein, J. D.
- Merely Incidental?: Effects of Response Format on Self-reported Behavior; 2006; Thomas, R. K., Klein, J. D.
- Rating versus comparative trade-off measures. Trending changes in political issues across time and predictive...; 2005; Thomas, R. K., Behnke, S., Johnson, Al., Sanders, M.
- On the primacy of affect in attitude-behavior research; 2004; Thomas, R. K., Schofield, C. M.
- It's Only Incidental: Effects of Response Format in Determining Behavioral or Event Occurrence; 2003; Lafond, C. R., Smith, M. R., Behnke, C. S., Thomas, R. K.
- Can What We Don’t Know (about “Don’t Know”) Hurt Us?: Effects of Item Non-response...; 2003; Krosnick, J. A., Behnke, C. S., Lafond, C. R., Thomas, R. K.
- Model of behavioral intention. A two-factor motivational model of behavioral intention; 2000; Thomas, R. K.
- Factors affecting measurement stability. More is not necessarily better: Effects of number of items...; 1999; Thomas, R. K.