Moderated Multiple Regression Tests are Criterion Specific

By Ronald S. Landis, W. Dunlap. 2000

97 citations recorded by the source corpus.

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Unpacking Organizational Ambidexterity: Dimensions, Contingencies, and Synergistic Effects (2009, methodology): “To assess the direction of causality between ambidexterity and performance, we followed the approach recommended by Landis and Dunlap (2000).”
Innovation Performance in New Product Development Teams in China's Technology Ventures: The Role of Behavioral Integration Dimensions and Collective Efficacy (2015, methodology): “Following Landis and Dunlap (2000), this study performed”
Entrepreneurial orientation and firm performance in Indian SMEs: Universal and contingency perspectives (2016, methodology): “Finally, following Landis and Dunlap (2000), we set firm performance as independent variable and EO as dependent variable to test interactive effects of the new predictor with the moderating variables (‘demand growth’ and ‘competitive intensity’) on the new criterion.”
Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression (2012, result): “Before concluding with our recommendations on when to center in MMRA and PRA, we note an interesting finding from Landis and Dunlap (2000) regarding the structure of an MMRA.”
Distributed Cognition in Top Management Teams and Organizational Ambidexterity (2017, methodology): “We followed Landis and Dunlap (2000) and performed additional analysis to rule out this possibility.”