Restricted Variance Interactions in Entrepreneurship Research: A Unique Basis for Context-as-Moderator Hypotheses

Jose M.  Cortina; Tine Köhler; Zitong Sheng; Kathleen R. Keeler; Bo Bernhard Nielsen; Joseph E. Coombs; David J.  Ketchen, Jr

doi:10.1177/10422587221121293

Restricted Variance Interactions in Entrepreneurship Research: A Unique Basis for Context-as-Moderator Hypotheses

Jose M. Cortina^*, Tine Köhler, Zitong Sheng, Kathleen R. Keeler, Bo Bernhard Nielsen, Joseph E. Coombs, David J. Ketchen, Jr

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

In this methodological brief, we demonstrate the usefulness of the restricted variance (RV) interaction to entrepreneurship research. RV reasoning can help scholars to specify precise roles for contextual moderators. This specificity allows for strengthening of arguments and for testing of one of the reasons for an interaction. In some cases, it points to otherwise unexpected interaction patterns. We illustrate the power of RV reasoning with a data set of 503 biotech firms to show how RV explains geographic differences in the relationship between number of alliances and initial public offering value. Finally, we show how these interactions can be tested given typical distributions.

Originalsprog	Engelsk
Tidsskrift	Entrepreneurship: Theory and Practice
Vol/bind	47
Udgave nummer	5
Sider (fra-til)	1995-2016
Antal sider	22
ISSN	1042-2587
DOI	https://doi.org/10.1177/10422587221121293
Status	Udgivet - sep. 2023
Udgivet eksternt	Ja

Bibliografisk note

Published online: 27 October 2022.

Emneord

Interactions
Moderation
Context
Restricted variance

Adgang til dokumentet

10.1177/10422587221121293Licens: Ikke-specificeret

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Citationsformater

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AU - Köhler, Tine

AU - Sheng, Zitong

AU - Keeler, Kathleen R.

AU - Nielsen, Bo Bernhard

AU - Coombs, Joseph E.

AU - Ketchen, Jr, David J.

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AB - In this methodological brief, we demonstrate the usefulness of the restricted variance (RV) interaction to entrepreneurship research. RV reasoning can help scholars to specify precise roles for contextual moderators. This specificity allows for strengthening of arguments and for testing of one of the reasons for an interaction. In some cases, it points to otherwise unexpected interaction patterns. We illustrate the power of RV reasoning with a data set of 503 biotech firms to show how RV explains geographic differences in the relationship between number of alliances and initial public offering value. Finally, we show how these interactions can be tested given typical distributions.

KW - Interactions

KW - Moderation

KW - Context

KW - Restricted variance

KW - Interactions

KW - Moderation

KW - Context

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