Web Survey Bibliography
There is a rich history of experimentation to understand the effects of incentives on the decision to cooperate with a survey request. However, few studies have used a full factorial design to simultaneously test the impacts of both the value of a noncontingent incentive and the value of a contingent incentive. Furthermore, there is little reported on the effects of these two forms of incentives when used to build a new measurement panel from an existing panel. Our paper will report the findings of a pilot study conducted by Knowledge Networks, in which national random sample of 400 households was drawn from KnowledgePanel®, Knowledge Networks’ probabilitybased online panel. These households were invited to participate in a multi-media measurement panel. A noncontingent incentive was given to all sampled households – a $2 bill mailed in a brief letter alerting the households they were chosen for the new study. The following week a formal invitation to join the new study was mailed, in which the households received either a (noncontingent) $5 or $10 cash incentive. The letter also promised the respondents that if they joined the new panel they would receive a (contingent) incentive of either $10 or $25 each month they remained in the panel. We will discuss the main effects and interaction effects on cooperation metrics (i.e., our dependent variables) in the experiment, including how a set of demographic and psychographic variables (i.e., covariates) known about each of the 400 households mediated these effects. We also will report findings from a follow-up survey, conducted after the recruitment period for the new panel ended, in which 76% of the 400 invited households completed a detailed questionnaire about their motives for wanting (or not) to participate in the new panel, including the role the incentives offered played in their final decision.
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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.