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

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  • Andreas Schwab

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.

Suggested Citation

  • Andreas Schwab, 2015. "Why All Researchers Should Report Effect Sizes and Their Confidence Intervals: Paving the Way for Meta–Analysis and Evidence–Based Management Practices," Entrepreneurship Theory and Practice, , vol. 39(4), pages 719-725, July.
    • Handle: RePEc:sae:entthe:v:39:y:2015:i:4:p:719-725
    DOI: 10.1111/etap.12158
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    References listed on IDEAS

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    1. Andreas Schwab & Eric Abrahamson & William H. Starbuck & Fiona Fidler, 2011. "PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests," Organization Science, INFORMS, vol. 22(4), pages 1105-1120, August.
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    Cited by:

    1. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    2. Alex Stewart, 2022. "Who shuns entrepreneurship journals? Why? And what should we do about it?," Small Business Economics, Springer, vol. 58(4), pages 2043-2060, April.
    3. Christopher Hansen & Holger Steinmetz & Jörn Block, 2022. "How to conduct a meta-analysis in eight steps: a practical guide," Management Review Quarterly, Springer, vol. 72(1), pages 1-19, February.

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