Diagnosing harmful collinearity in moderated regressions: A roadmap
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DOI: 10.1016/j.ijresmar.2015.08.004
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- Rajdeep Grewal & Joseph A. Cote & Hans Baumgartner, 2004. "Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing," Marketing Science, INFORMS, vol. 23(4), pages 519-529, June.
- Leenders, Mark A.A.M. & Eliashberg, Jehoshua, 2011. "The antecedents and consequences of restrictive age-based ratings in the global motion picture industry," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 367-377.
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Cited by:
- Burks, Jeffrey J. & Randolph, David W. & Seida, Jim A., 2019. "Modeling and interpreting regressions with interactions," Journal of Accounting Literature, Elsevier, vol. 42(C), pages 61-79.
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- Román Salmerón Gómez & Catalina García García & José García Pérez, 2020. "Detection of Near-Nulticollinearity through Centered and Noncentered Regression," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
- Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).
- Koval, Mariia & Iurkov, Viacheslav & Benito, Gabriel R.G., 2024. "The interplay of international alliance and subsidiary portfolios: Implications for firms’ innovation and financial performance," Journal of World Business, Elsevier, vol. 59(1).
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Keywords
Collinearity diagnostics; Variance inflation factors; Condition indices; Moderated models; Multiplicative interactions;All these keywords.
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