New statistical technique reveals hidden causal relationships in personality research data!
Structural equation modeling is a statistical method used to test theories about how different variables are related to each other. Researchers use SEM to see if their proposed model fits the data they collected. By comparing the relationships in the data to those in the model, they can determine if their theory is supported.