Relative Importance Analysis: A Useful Supplement to Regression Analysis
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Dominance analysis can overcome the issue of relative importance by examining the change in R2 resulting from adding a predictor to all possible subset regression models.
“This issue of relative importance can be overcome through the method of dominance analysis (Budescu, 1993; Mizumoto, 2022 ), which 'approaches the problem of relative importance by examining the change in R 2 resulting from adding a predictor to all possible subset regression models' (Tonidandel & LeBreton, 2011, p. 3).”
From A Three-Body Problem: The effects of foreign language anxiety, enjoyment, and boredom on academic achievement (2023) · cites this paper as Tonidandel & LeBreton, 2011
Traditional effect size metrics, especially when predictors are correlated, can be flawed indicators of dominance since the metrics do not necessarily partition variance in order of relative importance.
“Traditional effect size metrics, especially when predictors are correlated, can be flawed indicators of dominance since the metrics do not necessarily partition variance in order of relative importance (Tonidandel & LeBreton, 2011).”
From A Three-Body Problem: The effects of foreign language anxiety, enjoyment, and boredom on academic achievement (2023) · cites this paper as Tonidandel & LeBreton, 2011
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Factors Affecting Relative Weights: The Influence of Sampling and Measurement Error
Johnson, J. W. (2004) · Organizational Research Methods · doi:10.1177/1094428104266018 · Cited by 137 · see citing works
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RWA web: A free, comprehensive, web-based, and user-friendly tool for relative weight analyses
Tonidandel, S., & LeBreton, J. M. (2015) · Journal of Business and Psychology · doi:10.1007/s10869-014-9351-z · Cited by 520 · see citing works
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“One problem with multiple regression analyses is that they fail to appropriately partition the variance when the predictors in the model are highly correlated (e.g., Darlington, 1968; Graham, 2003; Tonidandel & LeBreton, 2011).”
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- Authors
- Tonidandel, S., & LeBreton, J. M.
- Affiliations
- Davidson College (US)
- Purdue University West Lafayette (US)
- Corresponding author
- Tonidandel, Scott
- Venue
- Journal of Business and Psychology
- Published
- 2011-01-07
- Volume
- 26
- Issue
- 1
- Pages
- 1-9
- ISSN
- 0889-3268 (ISSN-L)
- 1573-353X
- OpenAlex
- W2051121534
- Cited by
- 953
- References
- 1
- Citations by year
- 2026: 62 · 2025: 72 · 2024: 87 · 2023: 83 · 2022: 107 · 2021: 88 · 2020: 72 · 2019: 68 · 2018: 55 · 2017: 58 · 2016: 60 · 2015: 50 · 2014: 41 · 2013: 29 · 2012: 14
- FWCI
- 62.17
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Business and Psychology (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- relative importance analysis, dominance analysis, relative weight analysis, feature importance, correlated predictors
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