Why All Researchers Should Report Effect Sizes and their Confidence Intervals: Paving the Way for Meta-Analysis and Evidence-Based Management Practices

The growing body of empirical entrepreneurship studies and the advent of meta-analytic methodologies create new opportunities to develop evidence-based management practices. To support research on evidencebased practices, empirical studies should report meta-analysis relevant information, such as standardized effect-size measures and their confidence intervals. The corresponding changes in reporting practices are simple and straight-forward – yet, they promise strong contributions to the systematic accumulation of entrepreneurship knowledge over time. Disciplines Entrepreneurial and Small Business Operations | Management Sciences and Quantitative Methods | Other Business | Performance Management Comments This is the peer reviewed version of the following article: 2015; Entrepreneurship Theory and Practice, 39(4): 719–725. doi: 10.1111/etap.12158, which has been published in final form at Doi:10.1111/etap.12158. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for selfarchiving. This article is available at Iowa State University Digital Repository: http://lib.dr.iastate.edu/management_pubs/18 1 Why All Researchers Should Report Effect Sizes and their Confidence Intervals: Paving the Way for Meta-Analysis and Evidence-Based Management Practices