Methods to evaluate convergent/discriminating

Question 1

Methods to evaluate convergent/discriminating validity

Answer 1

Focus associations
Sets of associations
Multitrait-multimethod matrix
Quantifying construct validity

Question 2

Focus associations

Answer 2

Between test scores and particularly important criteria.

They gain insight to validity coefficients’ correlations with crucial variables (tested with validity generalization over larger data of studies, which show the level, degree )

Question 3

Multitrait-multimethod matrix (MTMMM)

Answer 3

Creates a matrix to show correlations over multiple methods and traits. Can either be attributed to;
- Traint variance; Goot at .. means good at.. because the traits connect

• Method variance’ when output correlates because the same data source; two measures share the same method. Show biased correlations

Question 4

Monotrait-heteromethod

Answer 4

One trait measure by different methods;
Represents evidence of convergent validity
- Depicted in graph by diagonal line

These should be higher than the heterotrait monomethod correlatinos

Question 5

Heterotrait heteromethod

Answer 5

Using different measures for different traits.
Should be lower correlated that the monotrait heteromethod (convergent/discriminate validity)
- Depicted in graph in triangle underneath diagonal line

Question 6

Heterotrait monomethod

Answer 6

Different traits measured by the same method.
It’s expected that monotrait heteromethod correlations are larger than the heterotrait monomehtod cor. If not, it’s a threat to discriminant validity