18 Pages Posted: 19 Nov 2013
Date Written: November 16, 2013
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.
Keywords: Null Hypothesis Significance Testing, Type-I-errors, Type-II errors, Significance level, Statistical power
JEL Classification: A10, B23, C12
Suggested Citation: Suggested Citation
Zhang, Le and Ortmann, Andreas, Exploring the Meaning of Significance in Experimental Economics (November 16, 2013). UNSW Australian School of Business Research Paper No. 2013-32. Available at SSRN: https://ssrn.com/abstract=2356018 or http://dx.doi.org/10.2139/ssrn.2356018