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  5. MISINFORMATION IN MIS RESEARCH: THE PROBLEM OF STATISTICAL POWER
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dc.contributor.authorBaroudi, Jack J.-
dc.contributor.authorOrlikowski, Wanda J.-
dc.date.accessioned2006-02-22T15:12:13Z-
dc.date.available2006-02-22T15:12:13Z-
dc.date.issued1986-06-
dc.identifier.urihttp://hdl.handle.net/2451/14507-
dc.description.abstractThis study reviews 57 MIS articles employing statistical inference testing published in leading MIS journals over the last five years. The statistical power of the articles was evaluated and found on average to fall substantially below the accepted norms. The consequence of low power is that it can lead to misinterpretation of data and results. Collectively these misinterpretations result in a body of MIS research that is built on potentially erroneous conclusions.en
dc.format.extent3307405 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen_US-
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesIS-86-062-
dc.titleMISINFORMATION IN MIS RESEARCH: THE PROBLEM OF STATISTICAL POWERen
dc.typeWorking Paperen
dc.description.seriesInformation Systems Working Papers SeriesEN
Appears in Collections:IOMS: Information Systems Working Papers

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