Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling

Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, few resources are available to help users gain a deep understanding of the analytic steps involved in SE...

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Veröffentlicht in:	Structural equation modeling Jg. 31; H. 6; S. 1104 - 1115
Hauptverfasser:	Steele, Joel S., Grimm, Kevin J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Routledge 01.11.2024 Psychology Press
Schlagworte:	Estimation Open-source software Optimization Popularity Python RAM SEM Specification Structural equation modeling Structural Equation Models symbolic math Syntax Workshops
ISSN:	1070-5511, 1532-8007
Online-Zugang:	Volltext
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