Web Survey Bibliography
In most years, influenza is associated with tens of thousands of deaths each year in the U.S., though the number of deaths rose significantly during the three pandemics in the past century. In general, flu vaccinations have become more effective in controlling the extent and severity of the annual incidence of flu. A major factor affecting vaccination effectiveness is people’s willingness to get vaccinated. We conducted an experiment to examine the effect that response measures have in predicting people’s intention to get a flu shot. We had 6,247 U.S. respondents participate in a web-based survey. We examined past flu occurrence, flu vaccination, and then we examined the influence that had 2 key experimental manipulations – absolute risk of flu strains today (Not at all dangerous – Extremely dangerous) versus comparative risk (Less dangerous than prior strains – More dangerous than prior strains). The second manipulation randomly assigned respondents to one of two comparative tasks - to evaluate the comparative risk of the flu vaccination versus with the risk of getting the flu – or to evaluate the comparative liking for getting the flu vaccination versus getting the flu. This created a 2 X 2 factorial design. We then examined a number of predictors of likelihood to get vaccinated for each cell of the experiment and found that the combined comparative risk rating of the current strain and comparative liking condition of the flu vaccination had the best predictive model for flu vaccination. The results indicated that decision making concerning vaccinations is subject to both the relative judgment of risks and hedonic relevance to the respondent and that public health strategies should emphasize the factors affecting these judgments to improve vaccination compliance.
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.