Suchergebnisse

Web surveys are being increasingly incorporated into national survey data collection programs in the United States because of their cost/time-efficiencies. Yet, response rates and data quality issues in web surveys remain important challenges. As a basic study designed to better understand data quality in a mixed mode national survey, this article investigates the degree to which web versus mail survey modes affect unit and item responses. Findings indicate that the web survey mode produces a lower unit response rate compared to the mail mode. However, the web mode elicits higher data quality in terms of item responses to both closed- and open-ended questions. These mode effects on data quality remain after sociodemographic variables are held constant. Given the increasing integration of web survey questionnaires into mixed mode studies, additional research is necessary to understand and document the processes that underlie mode differences when responding to self-administered surveys.

Despite higher hit rates for cell phone samples, inefficiencies in processing calls to these numbers relative to landline numbers continue to be documented in the U.S. literature. In this study, we propose one method for using cell phone provider information and Internet resources for validating number status. Specifically, we describe how we used ''in network'' options available from three major providers' web sites to determine the validity of cell phone numbers. We tested differences in working number rates (WNRs) among valid and nonvalid numbers against a normal processing control group and determined that the WNR among valid numbers was approximately 14 percentage points higher than the WNR of the comparison group. This process also shows promise in reducing the effort required to determine working status and may provide a basis for developing screening tools for cell phones that capitalize on resources that are unique to this technology.

In September 2008, the AAPOR Executive Council established an Opt-In Online Panel Task Force and charges it with "reviewing the current empirical findings related to opt-in online panels utilized for data collection and developing recommendations for AAPOR members." The council further specified that the charge did not include development of best practices, but rather would "provide key information and recommendations about whether and when opt-in panels might be best utilized and how best to judge their quality." The task force was formed in October 2008. This is its report. Adapted from the source document.