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Web Survey Bibliography

Title Separating the Wheat from the Chaff: Ensuring Data Quality in Internet Samples
Year 2007
Access date 28.05.2007
Abstract

 

The emergence of volunteer Internet panels as o sample source has been a major factor in the rapid growth of online surveys. And while this increased use of non-probability samples in place of probability samples has generated considerable debate and discussion within the industry about levels of sampling error and bias inherent in these samples, many clients find the obvious advantages in cost and turnaround significantly more compelling. But that may begin to change as a new set of non-statistical concerns emerge. These concerns center on issues such as respondent qualifications, increased satisfaction, and possible professionalization. This paper discusses the industry response to these concerns by panel companies, by industry and professional organizations, and by individual researchers. Ifs main focus is the response by researchers, and specifically the techniques and approaches the authors are using to ensure the quality of panel respondents, and/or the quality of responses, in their online studies. It describes the types of respondent behaviors that should concern researchers and describes methods for detecting them. If presents data from case studies on a range of topics using o mix of panels and sample sources. It describes how a relatively modest amount of quality assurance effort con substantially increase one's confidence in research results from online studies using Internet panel sample.

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Year of publication2007
Bibliographic typeConferences, workshops, tutorials, presentations
Full text availabilityAvailable on request
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Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 62th Annual Conference, 2007 (48)