RWA web: A free, comprehensive, web-based, and user-friendly tool for relative weight analyses
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Relative weights analysis permits obtaining more precise estimates of the relative importance of predictors compared with beta coefficients from regression analysis.
“Relative weights analysis permits obtaining more precise estimates of the relative importance of predictors compared with, for instance, beta coefficients from regression analysis [58].”
From Dispositional factors in the explanation of symptoms of depression, anxiety, health anxiety and COVID-19 Phobia (2024) · cites this paper as [58]
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Self-citationRelative Importance Analysis: A Useful Supplement to Regression Analysis
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- Tonidandel, S., & LeBreton, J. M. (2014). RWA web: A free, comprehensive, web-based, and user-friendly tool for relative weight analyses. Journal of Business and Psychology. doi:10. 1007/s10869-014-9351-z.
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“Relative weight analysis (RWA) was conducted with the R software package (Tonidandel & LeBreton, 2015).”
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“To complement the results of regression analyses with regard to the importance of predictors, we performed relative weight analyses (with package rwa , an implementation in R of [58]).”
BackgroundMethod
- Authors
- Tonidandel, S., & LeBreton, J. M.
- Affiliations
- Davidson College (US)
- Pennsylvania State University (US)
- Corresponding author
- Tonidandel, Scott
- Venue
- Journal of Business and Psychology
- Published
- 2014-03-08
- Volume
- 30
- Issue
- 2
- Pages
- 207-216
- ISSN
- 0889-3268 (ISSN-L)
- 1573-353X
- OpenAlex
- W2072606116
- Cited by
- 520
- References
- 29
- Citations by year
- 2026: 32 · 2025: 70 · 2024: 57 · 2023: 52 · 2022: 62 · 2021: 57 · 2020: 50 · 2019: 34 · 2018: 40 · 2017: 28 · 2016: 19 · 2015: 13 · 2014: 4 · 2012: 1
- FWCI
- 22.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- 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 weight analysis, web-based statistical software, feature importance, correlated predictors, multiple linear regression, multivariate multiple regression, logistic regression, bootstrapping, null hypothesis significance testing
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