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Fixed and Mixed Effects Models in Meta-Analysis

Author

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  • Konstantopoulos, Spyros

    (Michigan State University)

Abstract

The last three decades the accumulation of quantitative research evidence has led to the development of systematic methods for combining information across samples of related studies. Although a few methods have been described for accumulating research evidence over time, meta-analysis is widely considered as the most appropriate statistical method for combining evidence across studies. This study reviews fixed and mixed effects models for univariate and multivariate meta-analysis. In addition, the study discusses specialized software that facilitates the statistical analysis of meta-analytic data.

Suggested Citation

  • Konstantopoulos, Spyros, 2006. "Fixed and Mixed Effects Models in Meta-Analysis," IZA Discussion Papers 2198, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp2198
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    File URL: https://docs.iza.org/dp2198.pdf
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    7. Nina T. Dalgaard & Anja Bondebjerg & Bjørn C. A. Viinholt & Trine Filges, 2022. "The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(4), December.
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    11. Anja Bondebjerg & Nina Thorup Dalgaard & Trine Filges & Bjørn Christian Arleth Viinholt, 2023. "The effects of small class sizes on students' academic achievement, socioemotional development and well‐being in special education: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(3), September.
    12. Debasish Kumar Das & Champa Bati Dutta, 2013. "Global Financial Crisis And Foreign Development Assistance Shocks In Least Developing Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(2), pages 1-41, June.
    13. Trine Filges & Nina T. Dalgaard & Bjørn C. A. Viinholt, 2020. "PROTOCOL: Outreach programmes to improve life circumstances and prevent further adverse developmental trajectories of at‐risk youth in OECD countries: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    14. Anna Matysiak & Marta Styrc & Daniele Vignoli, 2014. "The educational gradient in marital disruption: A meta-analysis of European research findings," Population Studies, Taylor & Francis Journals, vol. 68(2), pages 197-215, July.
    15. Trine Filges & Lars Pico Geerdsen & Geir Smedslund & Anne‐Sofie Due Knudsen & Anne‐Marie Klint Jørgensen, 2013. "PROTOCOL: Active Labour Market Programme Participation for Unemployment Insurance Recipients: protocol for a systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 9(1), pages 1-50.
    16. Trine Filges & Jens Dietrichson & Bjørn C. A. Viinholt & Nina T. Dalgaard, 2021. "PROTOCOL: Service learning for improving academic success in students in grade K to 12: a systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    17. Ewa Cukrowska-Torzewska & Anna Matysiak, 2018. "The Motherhood Wage Penalty: A Meta-Analysis," VID Working Papers 1808, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    18. Wang, Kun Tracy & Shailer, Greg, 2017. "Family ownership and financial performance relations in emerging markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 82-98.
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    More about this item

    Keywords

    meta-analysis; multivariate analysis; mixed models;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

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