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Producing wrong data without doing anything obviously wrong!

, , , und . Proceeding of the 14th international conference on Architectural support for programming languages and operating systems, Seite 265--276. Washington, DC, USA, ACM, (2009)
DOI: 10.1145/1508244.1508275

Zusammenfassung

This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.

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