Some things you should know about structural equation modeling but never thought to ask

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.