Criterion oriented Validity 

   General process: 

      Researcher administers the test, obtains a measure of the criterion on the same subjects and computes a correlation 

criterion oriented validity is similar to the idea of nomological network 

Convergent: measures of constructs that theoretically should be related to each other are, in fact, observed to be related to each other

      testing for convergence across different measures or manipulations of the same thing

Divergent/discriminant: measures of constructs that theoretically should not be related to each other are, in fact, observed to not be related to each other

      testing for divergence between measures and manipulations of related but conceptually distinct things 

the Multi-trait Multi-method matrix 

   coefficients in the reliability diagonal should consistently be the highest in the matrix of the nomological network 

      basically, a trait should be more highly correlated with itself than with anything else

   coefficients in the validity diagonals should be significantly different from zero and high enough to warrant further investigation

A validity coefficient should be higher than values lying in its column and row in the same heteromethod block 

A validity coefficient should be than all coefficients in the heterotrait monomethod triangles

The same pattern of trait interrelationship should be seen in all triangles