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Using Path Diagrams as a Structural Equation Modeling Tool

文献名称 Using Path Diagrams as a Structural Equation Modeling Tool
文献作者 PETER SPIRTES ; THOMAS RICHARDSON ; CHRISTOPHER MEEK ; RICHARD SCHEINES ; CLARK GLYMOUR
作者所在单位 Carnegie Mellon University ; University of Washington ;Microsoft Corporation ; Carnegie Mellon University ; Carnegie Mellon University and the University of California, San Diego
文献分类 已发表文献
学科一级分类 统计
学科二级分类 统计学
文献摘要 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 importunt 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 SEMfrom 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.
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关键字 Path Diagrams ; a Structural Equation Modeling
发表所在刊物(或来源) SOCIOLOGICAL METHODS & RESEARCH, Vol. 27 No. 2, November 1998 182-225
发表时间 November 1998
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