The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Multiplicity Control in Structural Equation Modeling
Open accessAbstract
Researchers conducting structural equation modeling analyses rarely, if ever, control for the inflated probability of Type I errors when evaluating the statistical significance of multiple parameters in a model. In this study, the Type I error control, power and true model rates of famsilywise and false discovery rate controlling procedures were compared with rates when no multiplicity control was imposed. The results indicate that Type I error rates become severely inflated with no multiplicity control, but also that familywise error controlling procedures were extremely conservative and had very little power for detecting true relations. False discovery rate controlling procedures provided a compromise between no multiplicity control and strict familywise error control and with large sample sizes provided a high probability of making correct inferences regarding all the parameters in the model.
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Cites
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
Multiple Comparison Procedures
Hochberg, Y., & Tamhane, A. C. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316672 · Cited by 2,389
Dunkley, D. M., Zuroff, D. C., & Blankstein, K. R. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.1.234 · Cited by 662
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“Although Type 1 error inflation can be an issue in structural equation models in which numerous parameters are specified (Cribbie, 2007), widely accepted remedial strategies have yet to be validated.”
BackgroundKlages, K. L., Berlin, K. S., Cook, J. L., Merchant, T. E., Wise, M. S., Mandrell, B. N., Conklin, H. M., & Crabtree, V. M. (2022) · Psycho-Oncology · doi:10.1002/pon.5862 · Cited by 25
Metadata
- Authors
- Cribbie, R. A.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2007-01-01
- Volume
- 14
- Issue
- 1
- Pages
- 98-112
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2114634594
- Cited by
- 158
- References
- 3
- FWCI
- 2.70
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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