Hic Sunt Dracones: On the Risks of Comparing the ITCV With Control Variable Correlations Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/01492063241293126
To examine the robustness of their results against omitted variable bias, management researchers often compare the Impact Threshold of a Confounding Variable (ITCV) with control variable correlations. This paper describes three issues with this approach. First, the ITCV and control variable correlations are measured on mathematically different scales. As a result, their direct comparison is inappropriate. Second, a fair comparison requires a rescaled version of the ITCV known as “the unconditional ITCV.” Third, even the interpretation of the unconditional ITCV is complicated by the presence of multiple omitted variables, numerous control variables, and correlations between the omitted and control variables. We illustrate these issues with simple computer-generated data, a Monte Carlo simulation, and a practical application based on a published dataset. These results suggest that rules of thumb based on ITCV and control variable correlations are misleading and call for alternative ways of running, interpreting, and reporting the ITCV.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/01492063241293126
- https://journals.sagepub.com/doi/pdf/10.1177/01492063241293126
- OA Status
- bronze
- Cited By
- 3
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404903895
Raw OpenAlex JSON
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https://openalex.org/W4404903895Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/01492063241293126Digital Object Identifier
- Title
-
Hic Sunt Dracones: On the Risks of Comparing the ITCV With Control Variable CorrelationsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-02Full publication date if available
- Authors
-
Sirio Lonati, Jesper WulffList of authors in order
- Landing page
-
https://doi.org/10.1177/01492063241293126Publisher landing page
- PDF URL
-
https://journals.sagepub.com/doi/pdf/10.1177/01492063241293126Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://journals.sagepub.com/doi/pdf/10.1177/01492063241293126Direct OA link when available
- Concepts
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Psychology, Control (management), Social psychology, Variable (mathematics), Economics, Mathematics, Management, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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