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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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Cited by
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343
Using pls path modeling in new technology research: updated guidelines
Henseler, J., Hubona, G., & Ray, P. A. (2016) · Industrial Management & Data Systems · doi:10.1108/imds-09-2015-0382 · Cited by 7,173
Principles and practice in reporting structural equation analyses.
McDonald, R. P., & Ho, M.-H. R. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.64 · Cited by 4,734
Self-citationTexas A&M International University, Kock, N., Lynn, G., & Stevens Institute of Technology (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00302 · Cited by 3,783
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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- McDonald, R. P. (1996). Path Analysis with Composite Variables. Multivariate Behavioral Research. https://doi.org/10.1207/s15327906mbr3102_5
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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.
