Effect sizes and the interpretation of research results in international business

• 成果类型: Article
• 署名作者: Ellis, Paul D.
• 署名单位: Hong Kong Polytechnic University
• 刊物名称: JOURNAL OF INTERNATIONAL BUSINESS STUDIES
• ISSN/ISSBN: 0047-2506
• DOI: 10.1057/jibs.2010.39
• 发表日期: 2010
• 页码: 1581-1588
• 关键词: evaluation of current empirical approaches; theory-method intersection meta analysis; statistical power; EFFECT SIZE

摘要

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 Journal of International Business Studies (2010) 41, 1581-1588 doi 10 1057/jibs 2010 39