A1 Journal article (refereed)
An Updated Guideline for Assessing Discriminant Validity (2022)


Rönkkö, M., & Cho, E. (2022). An Updated Guideline for Assessing Discriminant Validity. Organizational Research Methods, 25(1), 6-14. https://doi.org/10.1177/1094428120968614


JYU authors or editors


Publication details

All authors or editorsRönkkö, Mikko; Cho, Eunseong

Journal or seriesOrganizational Research Methods

ISSN1094-4281

eISSN1552-7425

Publication year2022

Publication date23/11/2020

Volume25

Issue number1

Pages range6-14

PublisherSAGE Publications

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1177/1094428120968614

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/73510


Abstract

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 χ2(sys) that applied researchers can use to assess discriminant validity.


Keywordsorganisational researchquantitative researchmeasurementstatistical methodsfactor analysisvalidationMonte Carlo methods

Free keywordsdiscriminant validity; Monte Carlo simulation; measurement; confirmatory factor analysis; validation; average variance extracted; heterotrait-monotrait ratio; cross-loadings


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Ministry reportingYes

Reporting Year2022

Preliminary JUFO rating3


Last updated on 2024-26-03 at 09:19