Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19245
Title: Effect sizes and the interpretation of research results in international business
Authors: Ellis, PD
Keywords: effect size
evaluation of current empirical approaches
meta-analysis
statistical power
theory-method intersection
Issue Date: 2010
Publisher: Palgrave Macmillan
Source: Journal of international business studies, 2010, v. 41, no. 9, p. 1581-1588 How to cite?
Journal: Journal of international business studies 
Abstract: Journal editors and academy presidents are increasingly calling on researchers to evaluate the substantive, as opposed to the statistical, significance of their results. To measure the extent to which these calls have been heeded, I aggregated the meta-analytically derived effect size estimates obtained from 965 individual samples. I then surveyed 204 studies published in the Journal of International Business Studies. I found that the average effect size in international business research is small, and that most published studies lack the statistical power to detect such effects reliably. I also found that many authors confuse statistical with substantive significance when interpreting their research results. These practices have likely led to unacceptably high Type II error rates and invalid inferences regarding real-world effects. By emphasizing p values over their effect size estimates, researchers are under-selling their results and settling for contributions that are less than what they really have to offer. In view of this, I offer four recommendations for improving research and reporting practices.
URI: http://hdl.handle.net/10397/19245
ISSN: 0047-2506
EISSN: 1478-6990
DOI: 10.1057/jibs.2010.39
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