Evaluation of Reflective Measurement Models

Joseph F. Hair · G. Tomas M. Hult · Christian M. Ringle · Marko Sarstedt · Nicholas Patrick Danks · Soumya Ray

534 citations0/0 files storedClassroom companion: business

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Psychometric Methodologies and Testing Corporate Identity and Reputation Business Strategies and Management Research

Abstract

Abstract The goal of reflective measurement model assessment is to ensure the reliability and validity of the construct measures and therefore provides support for the suitability of their inclusion in the path model. This chapter introduces the key criteria that are relevant in reflective measurement model assessment: indicator reliability, internal consistency reliability (Cronbach’s alpha, reliability coefficient rho A , and composite reliability rho C ), convergent validity, and discriminant validity. We illustrate their use by means of the SEMinR package and a well-known model on corporate reputation.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2018When to use and how to report the results of PLS-SEM 2015A primer on partial least squares structural equation modeling (PLS-SEM)1999Use of partial least squares (PLS) in strategic management research: a review of four recent studies 2015Consistent Partial Least Squares Path Modeling1 1971Simultaneous Factor Analysis in Several Populations 2019Heuristics versus statistics in discriminant validity testing: a comparison of four procedures

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