Convergence validity

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Convergent validity ( English convergent validity ) or convergent validity referred to in the multivariate statistical one aspect of the construct and is present when the measurements of a construct correspond to different methods. The concept of convergence validity was introduced by Campbell and Fiske (1959).

Finding

Convergence validity is only one building block to determine the construct validity of a construct. Further components are discriminant validity , nomological validity and content validity based on a definition of the construct.

With the multitrait multimethod matrix , the convergence validity and the discriminant validity are compared with one another using a single sample. In short, it is expected that the convergence validity is greater than the discriminant validity.

criticism

Discriminant and convergence validity are widely used as building blocks of construct validity . However, their consideration is mainly criticized by John R. Rossiter , who argues that the construct validity must be achieved independently of other constructs. He emphasizes the importance of content validity and equates it with construct validity. Measures to improve discriminant and convergence validity can lead to indicators being removed and the statistically measurable properties of the measurement models being improved, while at the same time the measurement models move away from the semantic content of their constructs. This view was in turn criticized by Adamantios Diamantopoulos , who points out the importance of the convergence validity, since this is the only way to ensure that two indicators really do measure something the same.

swell

  1. ↑ Campbell, DT; Fiske, DW (1959): Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin , Vol. 56, pp. 81-105, doi : 10.1037 / h0046016 .
  2. ↑ Rossiter, John R. (2008): Content Validity of Measures of Abstract Constructs in Management and Organizational Research. British Journal of Management , Vol. 19, pp. 380-388, doi : 10.1111 / j.1467-8551.2008.00587.x .
  3. ↑ Diamantopoulos, A. (2005): The C-OAR-SE procedure for scale development in marketing: A comment. International Journal of Research in Marketing , Vol. 22, pp. 1–9, doi : 10.1016 / j.ijresmar.2003.08.002 .