Beyond ANOVA: An Introduction to Structural Equation Models for Experimental Designs

Structural equation modeling (SEM) can offer useful features to researchers conducting experiments. Yet most researchers appear not to apply such models when analyzing their data, relying instead on more restrictive (and sometimes inappropriate) approaches, such as analysis of variance (ANOVA). This paper is aimed at introducing experimentalists to the modeling options available in SEM. I compare and contrast ANOVA with two SEM-based approaches,...