Standards for Internet-Based Experimenting

Standards for Internet-Based Experimenting

2002 | Ulf-Dietrich Reips
This article, authored by Ulf-Dietrich Reips from the University of Zurich, Switzerland, provides a comprehensive overview of Internet-based experimental research. It outlines the advantages and disadvantages of conducting experiments on the Internet, including increased accessibility, cost savings, and ecological validity. The author discusses key issues such as randomization, sample recruitment, generalizability, dropout rates, experimental control, identity checks, multiple submissions, configuration errors, and motivational confounding. The article also addresses common misconceptions and errors in Internet-based experimentation, emphasizing the need for careful methodological and technical considerations. Finally, it proposes sixteen standards for conducting Internet-based experiments, covering aspects such as pretesting, dropout management, data quality, and ethical considerations. These standards aim to guide researchers in ensuring the reliability and validity of their online experiments.This article, authored by Ulf-Dietrich Reips from the University of Zurich, Switzerland, provides a comprehensive overview of Internet-based experimental research. It outlines the advantages and disadvantages of conducting experiments on the Internet, including increased accessibility, cost savings, and ecological validity. The author discusses key issues such as randomization, sample recruitment, generalizability, dropout rates, experimental control, identity checks, multiple submissions, configuration errors, and motivational confounding. The article also addresses common misconceptions and errors in Internet-based experimentation, emphasizing the need for careful methodological and technical considerations. Finally, it proposes sixteen standards for conducting Internet-based experiments, covering aspects such as pretesting, dropout management, data quality, and ethical considerations. These standards aim to guide researchers in ensuring the reliability and validity of their online experiments.
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