Lausanne, Switzerland – UNC Center for Community Capital research on data collection methods was highlighted at the European Survey Research Association Conference in Lausanne, Switzerland this week.
RTI International researcher Andy Peytchev presented findings and work from a collaborative research project with the center, called “Anticipatory Survey Design: Reduction of Non-response Bias through Bias Prediction Models.” The National Institutes of Health-funded project is examining whether monetary incentives help reduce the level of non-responsiveness among survey participants during data collection. Center for Community Capital research director Mark Lindblad and senior research economist Sarah Riley are collaborating on the research. (View his presentation)
Understanding the impact of such incentives is important information for researchers as people over the years have become less willing to complete surveys. As a result, response rates in major surveys have steadily declined. Low response rates can make it more difficult for researchers to draw valid inferences if the individuals who are not interviewed differ systematically from those who are interviewed.
Recent survey methodology research seeks to find methods for identifying which respondents are most likely to cause bias in the estimates obtained from key survey measures and increasing the participation rate among such respondents.
The UNC Center for Community Capital is the leading center for research and policy analysis on the transformative power of capital on households and communities in the United States. Part of the College of Arts and Sciences at the University of North Carolina at Chapel Hill, the center offers data and analysis that helps policymakers, advocates and the private sector find sustainable ways to expand economic opportunity to more people more effectively. For more information, visit www.ccc.unc.edu or call (919) 843-2140.
Topics(s): Other, Research Design