Convergent validity

Konvergenzvalidität (English convergent validity ) refers to multivariate statistics one aspect of construct validity and is present when the measurements of a construct to match with different methods.

History

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

Statement

Konvergenzvalidität is only a block to determine the construct validity of a construct. Other modules include discriminant validity, 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 Konvergenzvalidität, there was only ensuring that two indicators also really something same is measured.

Swell

• Multivariate Statistics
• Descriptive Statistics