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Some things you should know about structural equation modeling but never thought to ask
Author(s) -
Fabrigar Leandre R.,
Porter Ronald D.,
Norris Meghan E.
Publication year - 2010
Publication title -
journal of consumer psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.433
H-Index - 110
eISSN - 1532-7663
pISSN - 1057-7408
DOI - 10.1016/j.jcps.2010.03.003
Subject(s) - structural equation modeling , ask price , psychology , sample (material) , causal model , epistemology , computer science , mathematics , statistics , philosophy , economics , chemistry , economy , chromatography , machine learning
Iacobucci (2009, 2010) covers a number of important issues in the use of structural equation modeling and in so doing provides researchers with many useful insights and sensible suggestions. This commentary focuses on three issues where our views differ somewhat from those expressed in the target articles: SEM and causal inferences, sample size, and model fit. In addressing each of these issues, our perspectives do not so much contradict the views expressed by Iacobucci as they reflect a somewhat different conceptual emphasis.