An Updated Guideline for Assessing Discriminant Validity

By Mikko Rönkkö, Eunseong Cho. Organizational Research Methods, 2020

1,143 citations recorded by the source corpus.

Discriminant validity was originally presented as a set of empirical criteria that can be assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied researchers rarely lend themselves to MTMM analysis, the need to assess discriminant validity in empirical research has led to the introduction of numerous techniques, some of which have been introduced in an ad hoc manner and without rigorous methodological support. We review various definitions of and techniques for assessing discriminant validity and provide a generalized definition of discriminant validity based on the correlation between two measures after measurement error has been considered. We then review techniques that have been proposed for discriminant validity assessment, demonstrating some problems and equivalencies of these techniques that have gone unnoticed by prior research. After conducting Monte Carlo simulations that compare the techniques, we present techniques called CICFA(sys) and χ 2 (sys) that applied researchers can use to assess discriminant validity.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bef14a0c9e250fce3e97ff153d1f50047bcb39e5

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In Computer Networks and Communications

  1. Florian Schuberth
  2. Ellen Roemer
  3. Jörg Henseler
  4. Marko Sarstedt
  5. Christian M. Ringle

In Management Science and Operations Research

  1. Florian Schuberth
  2. Ellen Roemer
  3. Jörg Henseler
  4. Christian M. Ringle
  5. Marko Sarstedt
  6. Mikko Rönkkö
  7. Joseph F. Hair
  8. Jun-Hwa (Jacky) Cheah

Citations in the corpus