Web Survey Bibliography
The research reported is from a large-scale, national, mixed-mode survey (N = 49,675 addresses), in which token incremental, noncontingent incentives used in the second (mail) stage of the survey were tested in an experimental design. The levels of the incentives tested ranged from $0 to $10, in one-dollar increments, with the exception that there was no $9 condition. Furthermore, the experiment was conducted using three types of household addresses that originally were sampled in the first stage of the mixed-mode survey via a random digit dial (RDD) frame: (1) households that agreed to participate in the mail stage of the survey; (2) households that were never contacted in the RDD stage despite numerous contact attempts; and (3) households that had refused to participate when contacted in the RDD stage. It was determined that among those households that had previously agreed to participate, even those that received no cash incentive ($0) were more likely to return completed surveys than the groups of previously non- contacted and previously refusing households that received $10. It was also found that the nature of the outcome of the prior contact with the household mediated (that is, interacted with) the proportional effects of the incremental incentives, in ways only partially consistent with Dillman's social exchange theory. The findings, which are consistent with leverage-salience theory, suggest that if there is an optimal amount for an incentive to use in a mail survey, then it is a variable amount best targeted to the individual household.
Journal Homepage (abstract) / (full text)
Web Survey Bibliography - Lavrakas, P. J. (16)
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Experimenting with Noncontingent and Contingent Incentives in a Media Measurement Panel; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E.
- Investigating Nonresponse Bias in a Nonresponse Bias Study; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Charlebois, O.
- Changing Survey Methods (Discussion); 2011; Lavrakas, P. J.
- The Future of Internet Research; 2010; Lavrakas, P. J.
- Investigating Data Quality in Cell Phone Surveying; 2010; Lavrakas, P. J., Tompson, T., Benford, R.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Advances in Telephone Survey Methodology; 2008; Lepkowski, J. M., Tucker, C., Brick, J. M., de Leeuw, E. D., Japec, L., Lavrakas, P. J., Sangster, R...
- Encyclopedia of Survey Research Methods; 2008; Lavrakas, P. J.
- Surveying Cell Phone Numbers in the United States; 2008; Lavrakas, P. J.
- Testing the Impact of Caller ID Technology on Response Rates in a Mixed Mode Survey; 2005; Trussell, N., Lavrakas, P. J.
- Predicting Smapled Respondents' Likelihood to Cooperate in a Mail Survey: Part III; 2005; Burks, A. T., Lavrakas, P. J., Bennett, M.
- Will a "Perfect Storm" of Cellular-Linked Forces Sink RDD Sampling?; 2004; Lavrakas, P. J.
- The Influence of Incremental Increases in Token Cash Incentives on Mail Survey Response; 2004; Trussell, N., Lavrakas, P. J.
- An Experimental Testing of Format Changes to Reduce Missing Data and Increase; 2004; Lavrakas, P. J., Steve, K. W., Bennett, M., Lai, J. W.