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Simulating Multivariate Nonnormal Distributions
Abstract
A method for generating multivariate nonnormal distributions with specified intercorrelations and marginal means, variances, skews, and kurtoses is proposed. As an example, the method is applied to the generation of simulated scores on three psychological tests administered to a single group of individuals.
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Cited by
Curran, P. J., West, S. G., & Finch, J. F. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.16 · Cited by 5,512
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Reinartz, W., Haenlein, M., & Henseler, J. (2009) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2009.08.001 · Cited by 2,906
Consistent Partial Least Squares Path Modeling1
Dijkstra, T. K., & Henseler, J. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.2.02 · Cited by 2,898
Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012) · Psychological Methods · doi:10.1037/a0029315 · Cited by 2,816
Robustness Studies in Covariance Structure Modeling: An Overview and a Meta-Analysis
HOOGLAND, J. J., & BOOMSMA, A. (1998) · Sociological Methods & Research · doi:10.1177/0049124198026003003 · Cited by 734
Metadata
- Authors
- Vale, C. D., & Maurelli, V. A.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1983-09
- Volume
- 48
- Issue
- 3
- Pages
- 465-471
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2091542812
- Cited by
- 446
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vale, C. D., & Maurelli, V. A. (1983). Simulating Multivariate Nonnormal Distributions. Psychometrika. https://doi.org/10.1007/bf02293687
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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.