Lisrel Student Version [upd] Review

This uses a specific matrix-based language (LY, LX, BE, GA, PH, etc.). It is powerful but steep learning curve.

: Moving beyond observable data to understand underlying psychological or social constructs. lisrel student version

Start with a simple Confirmatory Factor Analysis (CFA). Define your latent variables, assign your observed indicators, and run the model to check if your data "fits" the theoretical structure. Why Choose LISREL Over Other SEM Software? This uses a specific matrix-based language (LY, LX,

to name and create a visual representation of your postulated latent variables. Syntax Creation assign your observed indicators

Relationships: X1 X2 X3 = Quality Y1 Y2 Y3 = Satisfaction Satisfaction = Quality

Look at the t-values. Any t-value > 1.96 indicates a significant path (p < .05).