Discriminant validity

Discriminant validity (English discriminant validity ) refers to multivariate statistics one aspect of construct validity and is present when the measurements of various constructs differ.

History

The concept of the discriminant introduced by Fiske and Campbell (1959).

Statement

If the average recorded variance of a construct higher than any squared correlation with any other construct, so it can be considered to construct level of discriminant validity. This quality measure is called the Fornell - Larcker criterion.

Discriminant validity is only one component to determine the construct validity of a construct. Other modules include Konvergenzvalidität, nomological validity, and content validity based on a definition of the construct.

In the multitrait - multimethod matrix, the Konvergenzvalidität and discriminant validity will be compared using a single sample. It is expected said shortened, that is greater than the discriminant Konvergenzvalidität.

Criticism

Discriminant and Konvergenzvalidität are widely used as building blocks of construct validity. Your consideration is however criticized especially by John R. Rossiter, by citing that the construct must be obtained independently of other constructs. He emphasizes the importance of content validity and sets them equal with construct validity. Thus, measures to improve the discriminant and Konvergenzvalidität can cause indicators are removed and statistically measurable properties of the measurement models be improved by it, but to remove the measurement models simultaneously by the semantic content of their constructs. This view was in turn criticized by Adamantios Diamantopoulos, who pointed to the importance of discriminant validity, as was only ensuring that two constructs actually measure something different.

Swell

• Multivariate Statistics
• Descriptive Statistics