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

Andreas Schwab

Entrepreneurship Theory and Practice, 2015, vol. 39, issue 4, 719-725

Abstract: 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 evidence–based 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.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1111/etap.12158 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:entthe:v:39:y:2015:i:4:p:719-725

DOI: 10.1111/etap.12158

Access Statistics for this article

More articles in Entrepreneurship Theory and Practice
Bibliographic data for series maintained by SAGE Publications ().