A conceptual and methodological framework for psychometric isomorphism: Validation of multilevel construct measures

L. Tay, S.E. Woo, J.K. Vermunt

Research output: Contribution to journalArticleScientificpeer-review

33 Citations (Scopus)

Abstract

The conceptual and methodological framework for measurement equivalence procedures has been well established and widely used. Although multilevel theories and methods have been widely used in organizational research, there is no comparable framework for measurement equivalence of multilevel constructs, or psychometric isomorphism. In this article, we present a conceptual and methodological framework for understanding and testing various forms of isomorphism. Within this framework, we explicate (a) the different types of psychometric isomorphism, (b) the conditions where psychometric isomorphism is appropriate and necessary, (c) how psychometric isomorphism corresponds with different composition models and estimation methods, and (d) the analytic procedures that can be used. Using simulated data, we also illustrate how the proposed procedures may be applied via two analytic methods—item response theory and factor analysis. We conclude with a discussion of theoretical and methodological implications provided by the proposed framework of psychometric isomorphism.
Keywords: multilevel research, invariance testing, measurement models, factor analysis, item response theory, construct validation procedures, reliability and validity, quantitative research
Original languageEnglish
Pages (from-to)77-106
JournalOrganizational Research Methods
Volume17
DOIs
Publication statusPublished - 2014

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