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Specification, evaluation, and interpretation of structural equation models

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Abstract

We provide a comprehensive and user-friendly compendium of standards for the use and interpretation of structural equation models (SEMs). To both read about and do research that employs SEMs, it is necessary to master the art and science of the statistical procedures underpinning SEMs in an integrative way with the substantive concepts, theories, and hypotheses that researchers desire to examine. Our aim is to remove some of the mystery and uncertainty of the use of SEMs, while conveying the spirit of their possibilities.

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Notes

  1. Although parameter estimates in simple regression are always biased downward to the extent of measurement error, no general statements in this regard can be made with respect to multiple regression.

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Authors and Affiliations

  1. Ross School of Business, University of Michigan, Ann Arbor, MI, USA

    Richard P. Bagozzi

  2. College of Business Administration, Seoul National University, Seoul, Korea

    Youjae Yi

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Correspondence to Richard P. Bagozzi.

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Bagozzi, R.P., Yi, Y. Specification, evaluation, and interpretation of structural equation models. J. of the Acad. Mark. Sci. 40, 8–34 (2012). https://doi.org/10.1007/s11747-011-0278-x

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