COVID-19 Model Iteration 3-b-2 with copula Measurement Model Evaluation

Model plots

Original Estimate Path Model

This is the original estimate path model.

Bootstrapped Path Model

This is the bootstrapped path model.

Measurement Model Only

This is a path model showing only the measurement model components.

Evaluation of the reflective measurement model

Convergent validity

Ideally, outer loadings (l) should be \(\geq\) 0.70. Loadings below 0.40 are unacceptable. AVE should be > 0.50.

Internal consistency reliability

Both Cronbach’s a and composite reliability rc should be \(\geq\) 0.60 and \(\leq\) 0.90. The upper threshold of acceptability is 0.95.

Discriminant validity

Discriminant validity is evaluated using the heterotrait-monotrait ratio (HTMT). The HTMT bootstrap confidence interval should not contain 1.

Results of the evaluation of the reflective measurement model

All indicators and constructs show sufficient convergent validity and discriminant validity. All constructs show internal consistency reliability. Composite reliability for Personal Moral Norm is still above 0.95, but Cronbach’s alpha and construct reliability is sufficient. The HTMT bootstrap CIs include 1 for all the Distrusting Beliefs lower-order constructs. As they are associated with the same higher-order construct, this is permissible.

Evaluation of the formative measurement model

Convergent validity

To evaluate convergent validity, a redundancy analysis is conducted. The path coefficient should be \(\geq\) 0.70 and RΒ² should be \(\geq\) 0.50.

Reiterating: For sufficient convergent validity, the path coefficient should be \(\geq\) 0.70 and RΒ² should be \(\geq\) 0.50.

Collinearity

The variance inflation factor (VIF) should be < 5, ideally \(\leq\) 3.

Significance and relevance

Indicator weights should be significant (t \(\geq\) 1.65, bootstrapping CI does not include 0). Otherwise, the loading l should be \(\geq\) 0.50. Any positive indicator weight implies relevance.

Results of the evaluation of the formative measurement model

Convergent validity is established for all constructs. There are no issues with collinearity as indicated by the VIF. All weights are significant and relevant.

Evaluation of the formative higher-order constructs

Convergent validity

Convergent validity cannot be evaluated.

Collinearity

The variance inflation factor (VIF) should be < 5, ideally \(\leq\) 3.

Significance and relevance

Indicator weights should be significant (t \(\geq\) 1.65, bootstrapping CI does not include 0). Otherwise, the loading l should be \(\geq\) 0.50. Any positive indicator weight implies relevance.

Results of the formative higher-order constructs evaluation

For the formative higher-order constructs, there are no issues with collinearity (VIF above 3, but below 5) and all weights are significant and relevant. The weight for Integrity is not significant, but the loading is sufficiently large and significant. The formative higher-order constructs can be retained as hypothesized.

Results summary

The measurement model meets all quality criteria.