I’m looking into SEM (Structural equation modelling using covariance matrixes) as an analysis technique and am finding it difficult to find consistent information on the assumptions of the technique. Below is what I currently have from reviewing the literature over the last couple of days. Is this a complete list to check before undertaking SEM? If not, could anyone point me in the direction of assumptions I may have missed or correct me on my current ones?
- Common Method Bias
- Multivariate Normality
- Relationship between the observed variables and their constructs and between one construct and another is linear.
- No Missing Data
- Unidimensionality Of Constructs