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Robustness?
Abstract
The actual behaviour of the probability of a Type I error under assumption violation is quite complex, depending upon a wide variety of interacting factors. Yet allegations of robustness tend to ignore its highly particularistic nature and neglect to mention important qualifying conditions. The result is often a vast overgeneralization which nevertheless is difficult to refute since a standard quantitative definition of what constitutes robustness does not exist. Yet under any halfway reasonable quantitative definition, many of the most prevalent claims of robustness would be demonstrably false. Therefore robustness is a highly questionable concept.
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Cited by
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MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
Cheung, G. W., & Lau, R. S. (2008) · Organizational Research Methods · doi:10.1177/1094428107300343 · Cited by 1,965
Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models
Williams, J., & MacKinnon, D. P. (2008) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701758166 · Cited by 1,240
Evaluating SEM Model Fit with Small Degrees of Freedom
Shi, D., DiStefano, C., Maydeu-Olivares, A., & Lee, T. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2020.1868965 · Cited by 256
Statistical properties of four effect-size measures for mediation models
Miočević, M., O’Rourke, H. P., MacKinnon, D. P., & Brown, H. C. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0870-1 · Cited by 200
Metadata
- Authors
- Bradley, J. V.
- Venue
- British Journal of Mathematical and Statistical Psychology
- Publisher
- Wiley
- Published
- 1978-11
- Volume
- 31
- Issue
- 2
- Pages
- 144-152
- ISSN
- 0007-1102 (ISSN-L)
- 2044-8317
- OpenAlex
- W4253749611
- Cited by
- 739
- References
- 0
- FWCI
- 4.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bradley, J. V. (1978). Robustness? British Journal of Mathematical and Statistical Psychology. https://doi.org/10.1111/j.2044-8317.1978.tb00581.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
