Web Survey Bibliography
Yes-No Grid (YNG) response formats have been found to yield higher self-reported behavior than Multiple Response List (MRL - 'select all that apply') response formats (Thomas and Klein, 2006, Journal of Official Statistics). In this current study, we examined how response formats could affect behavioral intention measurement. 56316 respondents (U.S. 18+) participated in a web-based survey. To assess respondent satisficing, 2 manipulations varied respondent load. Respondents were randomly assigned to complete the experimental section either at the
beginning of the survey or at the end of the survey and we re randomly assigned to either 5 or 10 behaviors out of 20 behaviors (e.g. drinking coffee, attending a religious service, reading a scientific article). As a standard criterion, respondents were asked how frequently they engaged in the assigned behaviors in the past 30 day and then randomly assigned 1 out of 6 possible likelihood response formats (asking if likely to perform the action in the next 30 days):
MLR, YNG, Dichotomous unipolar likelihood (Not likely/Likely), Dichotomous bipolarlikelihood (Unlikely/Likely), 5 category unipolar likelihood, 5 category bipolar likelihood.
Replicating prior work, the YNG response format yielded significantly higher likelihood endorsement frequencies across behaviors than the MRL, regardless of survey position. Extending our findings, the dichotomous likelihood measures also had higher endorsement across behaviors than the MRL. Behaviors presented later in the survey had somewhat lower rates of endorsement as being likely, especially for the MRL, though this effect was observed for all formats. Behaviors presented in a context of 10 behaviors showed somewhat lower likelihood endorsement than the 5 behavior context.
Web Survey Bibliography - Terhanian, G. (31)
- An approach to selecting online respondents; 2013; Terhanian, G.
- Thinking Differently About How to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- A Smarter Way to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- Beyond the Blank-Canvas Approach ; 2010; Terhanian, G.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Changing times, changing modes: The future of public opinion polling?; 2008; Terhanian, G.
- 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.
- Truth in measurement: Comparing Web Based interviewing Techniques; 2007; Couper, M. P., Terhanian, G., Bremer, J., Thomas, R. K.
- The Best of Intentions: Response Format Effects on Measures of Behavioral lntention ; 2007; Thomas, R. K., Klein, J. D., Behnke, C. S., Terhanian, G.
- Attitude Measurement in Phone and Online Surveys: Can Different Modes and Samples Yield Similar Results...; 2006; Thomas, R. K., Krane, D., Taylor, H., Terhanian, G.
- Multi-Mode Research and Data Linkage. Theoretical and Practical Advice; 2005; Terhanian, G.
- Comparing data from online and face-to-face surveys; 2005; Duffy, C., Smith, K., Terhanian, G., Bremer, J.
- Creative Applications of Selection Bias Modelling in Market Research; 2005; Terhanian, G., Bremer, J.
- Measuring television viewership through a multi-method approach; 2004; Terhanian, G., Bremer, J., Delaney, T. F., Thomas, R. K.
- Behavioral Intention Measurement: International Findings; 2004; Thomas, R. K., Terhanian, G., Bayer, L. R.
- Propensity Score Matching as a Bias Correction Method for Internet-based Studies; 2004; Bremer, J., Terhanian, G., Strange, P.
- Not Sure About "Don't Know"?: Effects of Response Choice in Mixed Mode Surveys; 2002; Terhanian, G., Thomas, R. K., Bremer, J., Smith, R.
- The record of internet-based opinion polls in predicting the results of 72 races in the November 2000...; 2001; Taylor, H., Bremer, J., Overmeyer, C., Siegel, J.W., Terhanian, G.
- Touchdown! Online polling scores big in November 2000; 2001; Terhanian, G., Bremer, J., Overmeyer, C., Siegel, J.W., Taylor, H.
- Using Internet polling to forecast the 2000 elections; 2001; Terhanian, G., Taylor, H., Bremer, J., Overmeyer, C., Siegel, J.W.
- Exploiting analytical advances. Minimizing the biases associated with Internet-based surveys of non-...; 2001; Terhanian, G., Thomas, R. K., Bremer, J., Smith, R.
- How To Ensure the Accuracy Of Internet Research; 2001; Terhanian, G.
- Reducing Error Associated with Non-Probability Sampling through Propensity Scores: Evidence from Election...; 2001; Terhanian, G., Marcus, S., Bremer, J., Smith, R.
- The Accuracy of Harris Interactive's Pre-Election Polls of 2000; 2001; Terhanian, G., Taylor, H., Bremer, J., Siegel, J.W., Smith, R.
- A Propensity Score Adjustment for Selection Bias in Online Surveys; 2000; Bremer, J., Terhanian, G., Smith, R.
- Advance to the Next Level: Online Methodologies and Best Practices; 2000; Terhanian, G.
- How To Produce Credible, Trustworthy Information Through Internet-Based Survey Research; 2000; Terhanian, G.
- Understanding Online Research: Lessons from the Harris Poll Online; 1999; Terhanian, G.
- Beyond Questions: Influences on Web Survey Testing; 1999; Terhanian, G., Jeavons, A.
- Heady Days Are Here Again. Online polling is rapidly coming of age; 1999; Taylor, H., Terhanian, G.
- Understanding the Online Population: Lessons from the Harris Poll and the Harris Poll Online; 1999; Black, G. S., Terhanian, G.