![]() ![]() You create more precise models – setting your research apart and increasing your chances of getting published. ![]() SEM lets you more rigorously test whether your data supports your hypothesis. Structural equation modeling (sometimes called path analysis) can help you gain additional insight into causal models and explore the interaction effects and pathways between variables. When you conduct research, you’re probably already using factor and regression analyses in your work. Structural equation modeling (SEM) can take your research to the next level Using SEM, you can quickly create models to test hypotheses and confirm relationships among observed and latent variables – moving beyond regression to gain additional insight. ![]() IBM® SPSS® Amos gives you the power to easily perform structural equation modeling (SEM). Build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionality ![]()
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