Using Path Diagrams as a Structural Equation Modeling Tool
Datos Bibliográficos
| ID | 2331818 |
|---|---|
| Autores | Peter Spirtes (0000-0002-1385-190X, Carnegie Mellon University), Thomas Richardson (0000-0003-0349-0095, University of Washington), Thomas S Richardson (0000-0003-3721-2704, University of Washington), Christopher Meek (0000-0003-1696-6152, Microsoft Corporation), Richard Scheines (Carnegie Mellon University), Clark Glymour (Carnegie Mellon University and the University of California, San Diego) |
| Año | 1998 |
| Volumen | 27 |
| Número | 2 |
| Páginas | 182-225 |
| Fecha de publicación | 1998-11-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Methods & Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124198027002003 |
| OpenAlex | W2048486731 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 21 |
A linear structural equation model (SEM) without free parameters has two parts: a probability distribution and an associated path diagram corresponding to the causal relations among variables specified by the structural equations and the correlations among the error terms. This article shows how path diagrams can be used to solve a number of important problems in structural equation modeling; for example, How much do sample data underdetermine the correct model specification? Given that there are equivalent models, is it possible to extract the features common to those models? When a modeler draws conclusions about coefficients in an unknown underlying SEM from a multivariate regression, precisely what assumptions are being made about the SEM? The authors explain how the path diagram provides much more than heuristics for special cases; the theory of path diagrams helps to clarify several of the issues just noted
Diagram · Heuristics · Mathematical optimization · Multivariate statistics · Path (computing) · Path analysis (statistics) · Path coefficient · Sample (material) · Statistics · Structural equation modeling · Applied Mathematics · Bayesian Modeling and Causal Inference · Computer Science · Evaluation and Performance Assessment · Mathematics · Multi-Criteria Decision Making
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 0,25 |
| Intervalo de citas | 1998 - 2026 (29) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |