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- W191136377 abstract "Structural equation (SE) models provide a statistical model summarizing a multivariate probability distribution in terms of linear equations. When researchers interpret a SE model in terms of causal relationships, the SE model serves as a causal model. Researchers also give causal interpretations to models not currently expressible as SE models. Recognizing that both sets of models have expanding membership, the present chapter focuses primarily on the intersection of these two sets: causally interpreted SE models." @default.
- W191136377 created "2016-06-24" @default.
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- W191136377 date "2004-01-01" @default.
- W191136377 modified "2023-09-25" @default.
- W191136377 title "Varieties of Causal Modeling: How Optimal Research Design Varies by Explanatory Strategy" @default.
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- W191136377 doi "https://doi.org/10.1007/978-1-4020-1958-6_10" @default.
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