Structural model assessment is for hypotheses testing.

It deals with the relationship between latent variables.

Bootstrapping

• A resampling technique that draws a large number of subsamples from the original data (with replacement) and estimates models for each subsample.
• To determine standard errors of coefficient estimates to assess the coefficient's statistical significance without relying on distributional assumptions.
• The test will give indication whether the relationship is significant ie; statistically different from zero.

Example:

Is there a correlation between IQ & a methodology re-examination result?