The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A New Inferential Test for Path Models Based on Directed Acyclic Graphs
Abstract
This article introduces a new inferential test for acyclic structural equation models (SEM) without latent variables or correlated errors. The test is based on the independence relations predicted by the directed acyclic graph of the SEMs, as given by the concept of d-separation. A wide range of distributional assumptions and structural functions can be accommodated. No iterative fitting procedures are used, precluding problems involving convergence. Exact probability estimates can be obtained, thus permitting the testing of models with small data sets.
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Cites
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Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
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Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,277
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Cited by
piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics
Lefcheck, J. S. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12512 · Cited by 4,845
Confirmatory path analysis in a generalized multilevel context
Shipley, B. (2009) · Ecology · doi:10.1890/08-1034.1 · Cited by 1,083
Self-citationThe AIC model selection method applied to path analytic models compared using a d‐separation test
Shipley, B. (2013) · Ecology · doi:10.1890/12-0976.1 · Cited by 606
Self-citationHardenberg, A. V., & Gonzalez-Voyer, A. (2013) · Evolution · doi:10.1111/j.1558-5646.2012.01790.x · Cited by 236
Gordon, A. M., Rissman, J., Kiani, R., & Wagner, A. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht194 · Cited by 173
Metadata
- Authors
- Shipley, B.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2000-06
- Volume
- 7
- Issue
- 2
- Pages
- 206-218
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2069916798
- Cited by
- 490
- References
- 19
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
