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Structural Equation Models: From Paths To Networks – Limited & Recommended

Westland places a strong emphasis on research design and data adequacy, addressing topics often neglected in standard "cookbook" textbooks.

(2019) by J. Christopher Westland is a concise reference that explores the evolution and application of Structural Equation Modeling (SEM). It is unique for showcasing a wide range of methodologies—from historical path analysis to modern neural network-based approaches—rather than focusing on just one school of thought. Core Themes and Historical Context

: Discussed extensively, including its differences from PLS regression.

Westland places a strong emphasis on research design and data adequacy, addressing topics often neglected in standard "cookbook" textbooks.

(2019) by J. Christopher Westland is a concise reference that explores the evolution and application of Structural Equation Modeling (SEM). It is unique for showcasing a wide range of methodologies—from historical path analysis to modern neural network-based approaches—rather than focusing on just one school of thought. Core Themes and Historical Context

: Discussed extensively, including its differences from PLS regression.