Investigating and Communicating the Uncertainty of Effects: The Power of Graphs

dc.contributor.author Schwab, Andreas
dc.contributor.author Schwab, Andreas
dc.contributor.department Management
dc.date 2018-02-05T14:43:56.000
dc.date.accessioned 2020-06-30T05:59:13Z
dc.date.available 2020-06-30T05:59:13Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.issued 2018-01-30
dc.description.abstract <p>Entrepreneurial activities are inherently risky and related outcomes uncertain. Consequently, empirical studies to build entrepreneurship theory need to investigate not only the direction and average size of effects but also the uncertainty of these effects. Current research published in academic entrepreneurship journals tends to focus on dichotomous likelihood evaluations employing statistical significance tests. This editorial argues that graphs communicating the distribution of observed effects offer a far more useful way to communicate, evaluate, and discuss uncertainty. Publishing such graphs will support theory building and offer more meaningful guidance to practitioners and policy makers.</p>
dc.description.comments <p>This article is published as Schwab, A. Investigating and Communicating the Uncertainty of Effects: The Power of Graphs.; <em>Entrepreneurship Theory and Practice</em>, 2018; 1-12. Doi: <a href="https://doi.org/10.1177/1042258717753126" target="_blank">10.1177/1042258717753126</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/management_pubs/44/
dc.identifier.articleid 1043
dc.identifier.contextkey 11453841
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath management_pubs/44
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/54434
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/management_pubs/44/2018_SchwabA_InvestigatingCommunicatingUncertainty.pdf|||Wed Jan 31 16:57:44 UTC 2018
dc.source.bitstream archive/lib.dr.iastate.edu/management_pubs/44/2018_SchwabA_updated_InvestigatingCommunicatingUncertainty.pdf|||Sat Jan 15 00:17:59 UTC 2022
dc.source.uri 10.1177/1042258717753126
dc.subject.keywords research methods
dc.subject.keywords quantitative
dc.title Investigating and Communicating the Uncertainty of Effects: The Power of Graphs
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 3f8ad1b3-26c8-40e5-a733-8e4dd4eb8cce
relation.isOrgUnitOfPublication 76f2501b-6a79-4f9b-b1ae-e0c64574c784
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