Abstract
Control variables have a central role when empirical data are used to support causal claims in management research. The current literature has been intransparent in so far as to how control variables should be chosen, how many control variables should be chosen and whether a potential control variable should be included. Causal diagrams provide a transparent framework on how to select control variables for causal identification. This article delineates how causal graphs can inform researchers in leadership and management in finding the correct set of control variables and possible solutions in the case that causal identification is not possible or when causal identification requires unobserved variables.
Original language | English |
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Title of host publication | Proceedings of the Eighty-second Annual Meeting of the Academy of Management |
Editors | Sonja Taneja |
Number of pages | 6 |
Place of Publication | Briarcliff Manor, NY |
Publisher | Academy of Management |
Publication date | 2022 |
Article number | 294 |
DOIs | |
Publication status | Published - 2022 |
Event | The Academy of Management Annual Meeting 2022: Creating a Better World Together - Seattle, United States Duration: 5 Aug 2022 → 9 Aug 2022 Conference number: 82 https://2022.aom.org/ |
Conference
Conference | The Academy of Management Annual Meeting 2022 |
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Number | 82 |
Country/Territory | United States |
City | Seattle |
Period | 05/08/2022 → 09/08/2022 |
Internet address |
Series | Academy of Management Proceedings |
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ISSN | 0065-0668 |
Keywords
- Best paper