2003
DOI: 10.1016/s1048-9843(02)00184-4
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Problems with detecting moderators in leadership research using moderated multiple regression

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Cited by 73 publications
(69 citation statements)
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References 72 publications
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“…This is especially pressing for our data on organizations' financial health. Given the low statistical power of moderated regression analysis (e.g., Aguinis, 1995;Villa, Howell, Dorfman, & Daniel, 2003), more interaction effects may have been significant had the sample size been larger. At the same time, it also means that the moderator effects we did find need to be replicated across a larger database of firms in future research to test their robustness.…”
Section: Discussionmentioning
confidence: 99%
“…This is especially pressing for our data on organizations' financial health. Given the low statistical power of moderated regression analysis (e.g., Aguinis, 1995;Villa, Howell, Dorfman, & Daniel, 2003), more interaction effects may have been significant had the sample size been larger. At the same time, it also means that the moderator effects we did find need to be replicated across a larger database of firms in future research to test their robustness.…”
Section: Discussionmentioning
confidence: 99%
“…Given the low statistical power of moderated regression analysis (e.g., Aguinis, 1995;Villa, Howell, Dorfman, & Daniel, 2003) more interaction effects may have been significant had the sample size been larger. At the same time, it also means that the moderator effects we did find need to be replicated across a larger database of firms in future research to test their robustness.…”
Section: Limitations and Future Researchmentioning
confidence: 99%
“…They followed Kerr and Jermier (1978) to identify potential substitutes by drawing eclectically from theories of individual differences, task characteristics, and organization structure. Despite plausible rationales, no stable moderated relationships have been found (Podsakoff, MacKenzie, & Bommer, 1996), possibly because of power limitations in the available methods for identifying interactions (Aguinis, 1995;Villa, Howell, Dorfman, & Daniel, 2003). In order to replicate prior research showing their non-significant effects, these substitutes were measured and tested in the present study, but no dependable moderating effects were found (details available from the authors).…”
Section: Asian-based Moderatorsmentioning
confidence: 95%
“…The beta coefficients will be reported here where significant relationships were found. Considering low power of tests for interaction between normally distributed continuous variables when assessing moderating effects in organizational research (e.g., Aguinis & Stone-Romero, 1997;Villa et al, 2003), we decided to include relationships significant at the p < 0.10 level.…”
Section: Notesmentioning
confidence: 99%
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