Artificial Intelligence: Comparing Survey Responses for Online and Offline Samples

38 Pages Posted: 16 Jul 2012 Last revised: 18 Jul 2012

Date Written: 2012

Abstract

Abstract will be provided by author.Over the past decade, an increasing amount of scholars and professionals have turned to the Internet to conduct research ranging from public opinion surveys to complicated psychology and economics experiments. While there has been a focus on whether online samples are reliable and accurate, less research examines the behavioral differences between online and offline respondents. This paper focuses on one such potential difference. I use an experiment to gauge whether online respondents augment their knowledge with outside research. In the experiment, I ask a sample of online and offline subjects to answer a battery of factual knowledge questions. The results show that voters in the online treatment group are significantly more likely to answer questions correctly — a relationship that strengthens when question difficulty increases. These findings suggest that some — but not all — respondents completing surveys online are supplementing their answers with research.

Keywords: Survey Research, Online Samples, Non-probability samples

Suggested Citation

Burnett, Craig M., Artificial Intelligence: Comparing Survey Responses for Online and Offline Samples (2012). APSA 2012 Annual Meeting Paper, Available at SSRN: https://ssrn.com/abstract=2109012

Craig M. Burnett (Contact Author)

Hofstra University ( email )

Hempstead, NY 11549
United States

HOME PAGE: http://people.hofstra.edu/craig_burnett

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