What type of validity is discriminant validity?

What type of validity is discriminant validity?

Convergent validity takes two measures that are supposed to be measuring the same construct and shows that they are related. Conversely, discriminant validity shows that two measures that are not supposed to be related are in fact, unrelated. Both types of validity are a requirement for excellent construct validity.

What is discriminant validity?

Discriminant validity is demonstrated by evidence that measures of constructs that theoretically should not be highly related to each other are, in fact, not found to be highly correlated to each other.

How can you assess the discriminant validity between two constructs?

There are three main ways to calculate a correlation for discriminant validity assessment: a factor analysis, a scale score correlation, and the disattenuated version of the scale score correlation.

How do you fix discriminant validity?

If items cross-load on more than one latent variable, removal of offending items should improve discriminant validity. CFA can also be used, and a researcher can inspect modification indices or correlated error terms, but the ability of EFA to identify cross-loadings is particularly beneficial.

How do you show discriminant validity?

To establish discriminant validity, you need to show that measures that should not be related are in reality not related. In the figure below, we again see four measures (each is an item on a scale).

How do you prove discriminant validity?

What is the difference between convergent and discriminant validity?

The basic difference between convergent and discriminant validity is that convergent validity tests whether constructs that should be related, are related. Discriminant validity tests whether believed unrelated constructs are, in fact, unrelated.

Is there a standard value for discriminant validity?

Although there is no standard value for discriminant validity, a result less than .85 tells us that discriminant validity likely exists between the two scales. A result greater than .85, however, tells us that the two constructs overlap greatly and they are likely measuring the same thing.

How is a 95% confidence interval used for discriminant validity?

A computer program called CONFID, included in the MUTMUM package, was used to construct a 95% confidence interval around each of these correlations to evaluate convergent validity statistically.

Why is it important to use Discriminant Validation?

They stressed the importance of using both discriminant and convergent validation techniques when assessing new tests. A successful evaluation of discriminant validity shows that a test of a concept is not highly correlated with other tests designed to measure theoretically different concepts.