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Path Analysis with Composite Variables
Abstract
Six methods for fitting path models with weighted composites of variables replacing latent variables (of which five are easily implemented with conventional computer software) are introduced and related to "soft modelling" by Partial Least Squares. Criteria for comparing their performance are devised. and some evaluative remarks are offered.
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Metadata
- Authors
- McDonald, R. P.
- Venue
- Multivariate Behavioral Research
- Publisher
- Informa UK Limited
- Published
- 1996-04
- Volume
- 31
- Issue
- 2
- Pages
- 239-270
- ISSN
- 0027-3171 (ISSN-L)
- 1532-7906
- OpenAlex
- W2052299306
- Cited by
- 332
- References
- 0
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
