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The power and effects of entrepreneurship research

Version 2 2024-06-04, 15:45
Version 1 2022-02-28, 09:05
journal contribution
posted on 2024-06-04, 15:45 authored by Brian Connelly, RD Ireland, CR Reutzel, JE Coombs
This study summarizes and analyzes average statistical power and effect sizes in empirical entrepreneurship research. Results show that statistical power was higher than expected, and was particularly high in studies employing archival measures. Statistical power has also increased over time. Effect sizes were higher than expected, a finding that remained consistent for different levels of analysis and across multiple subdomains. We discuss these findings, compare them to related disciplines, and draw implications for the design of future studies.

History

Journal

Entrepreneurship: Theory and Practice

Volume

34

Pagination

131-149

ISSN

1042-2587

eISSN

1540-6520

Language

English

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

1

Publisher

SAGE PUBLICATIONS INC