There are a number of factors to be taken into account before using the Structural Equation modeling (SEM). The following items will be discussed futher in this training:
Roles of theory.
Measurement scale.
Sample size requirement.
Randomness of sample.
Handling blank responses/missing values.
Data distribution.
Common method variance.