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dc.contributor.authorZhang, Lyla
dc.contributor.authorOrtmann, A.
dc.date.accessioned2018-02-01T05:23:17Z
dc.date.available2018-02-01T05:23:17Z
dc.date.created2018-02-01T04:59:43Z
dc.date.issued2013
dc.identifier.citationZhang, L. and Ortmann, A. 2013. Exploring the meaning of significance in experimental economics, Australian School of Business Research Paper No. 2013 ECON 32, University of New South Wales, Department of Economics & Property.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/62344
dc.description.abstract

Null Hypothesis Significance Testing has been widely used in the experimental economics literature. Typically, attention is restricted to type-I-errors. We demonstrate that not taking type-II errors into account is problematic. We also provide evidence, for one prominent area in experimental economics (dictator game experiments), that most studies are severely underpowered, suggesting that their findings are questionable. We then illustrate with several examples how poor (no) power planning can lead to questionable results.

dc.publisherUniversity of New South Wales
dc.subjectType-I-errors
dc.subjectType-II errors
dc.subjectSignificance level
dc.subjectNull Hypothesis Significance Testing
dc.subjectStatistical power
dc.titleExploring the meaning of significance in experimental economics
dc.typeWorking Paper
dcterms.source.seriesAustralian School of Business Research Paper No. 2013 ECON 32
curtin.departmentDepartment of Economics & Property
curtin.accessStatusFulltext not available


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