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Meta-analytic structural equation modeling (MASEM): new tricks of the trade

Author

Listed:
  • Holger Steinmetz

    (Trier University)

  • Jörn Block

    (Trier University
    Erasmus University Rotterdam
    Universität Witten/Herdecke)

Abstract

Meta-analytic structural equation modeling (MASEM) has become a widespread approach to meta-analyze the evidence in a field and to test a (theoretical) multivariate model based on aggregated data. This editorial presents new tricks of the trade and discusses current issues surrounding MASEM that in our view are either insufficiently recognized in the MASEM literature or present new developments. The editorial is organized in three parts, in which we discuss (a) the goals and causal underpinnings of a MASEM, (b) new possibilities to analyze effect size heterogeneities through moderator variables and (c) the use of statistical tests and p values.

Suggested Citation

  • Holger Steinmetz & Jörn Block, 2022. "Meta-analytic structural equation modeling (MASEM): new tricks of the trade," Management Review Quarterly, Springer, vol. 72(3), pages 605-626, September.
    • Handle: RePEc:spr:manrev:v:72:y:2022:i:3:d:10.1007_s11301-022-00293-6
    DOI: 10.1007/s11301-022-00293-6
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    References listed on IDEAS

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    Cited by:

    1. Shih-Kai Lin & Hung-Chang Chung, 2023. "The Relationship Between Entrepreneurial Orientation and Firm Performance From the perspective of MASEM: The Mediation Effect of Market Orientation and the Moderated Mediation Effect of Environmental ," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Zongyuan Liu & Harcharanjit Singh Mahinder Singh & Fatema Al Shibli, 2025. "What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
    3. Joern Block & Leif Brändle, 2022. "Looking back to look ahead: MRQ's past five years of evidence-based management research in numbers," Management Review Quarterly, Springer, vol. 72(4), pages 917-926, December.
    4. Carla Curado & Mírian Oliveira & Dara G. Schniederjans & Eduardo Kunzel Teixeira, 2024. "Control variable use and reporting in operations management: a systematic literature review and revisit," Management Review Quarterly, Springer, vol. 74(3), pages 1809-1839, September.

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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