IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v7y1982i2p119-137.html
   My bibliography  Save this article

Fitting Categorical Models to Effect Sizes from a Series of Experiments

Author

Listed:
  • Larry V. Hedges

Abstract

One method of combining the results of a series of two-group experiments involves the estimation of the effect size (population value of the standarized mean difference) for each experiment. When each experiment has the same effect size, a pooled estimate of effect size provides a summary of the results of the series of experiments. However, when effect sizes are not homogeneous, a pooled estimate can be misleading. A statistical test is provided for testing whether a series of experiments have the same effect size. A general strategy is provided for fitting models to the results of a series of experiments when the experiments do not share the same effect size and the collection of experiments is divided into a priori classes. The overall fit statistic H T is partitioned into a between-class fit statistic H B and a within-class fit statistic H w . The statistics H B and H w permit the assessment of differences between effect sizes for different classes and the assessment of the homogeneity of effect size within classes.

Suggested Citation

  • Larry V. Hedges, 1982. "Fitting Categorical Models to Effect Sizes from a Series of Experiments," Journal of Educational and Behavioral Statistics, , vol. 7(2), pages 119-137, June.
    • Handle: RePEc:sae:jedbes:v:7:y:1982:i:2:p:119-137
    DOI: 10.3102/10769986007002119
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986007002119
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986007002119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ligia Muntean Jemna, 2017. "Using Quantitative and Mixed Research Methods in Marketing: A Meta-Analytic Approach," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(4), pages 227-249, AUGUST.
    2. Leighton Vaughan Williams & Ming‐Chien Sung & Peter A. F. Fraser‐Mackenzie & John Peirson & Johnnie E. V. Johnson, 2018. "Towards an Understanding of the Origins of the Favourite–Longshot Bias: Evidence from Online Poker Markets, a Real‐money Natural Laboratory," Economica, London School of Economics and Political Science, vol. 85(338), pages 360-382, April.
    3. Capella, Michael L. & Webster, Cynthia & Kinard, Brian R., 2011. "A review of the effect of cigarette advertising," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 269-279.
    4. Grzegorz Zasuwa, 2017. "The Role of Company-Cause Fit and Company Involvement in Consumer Responses to CSR Initiatives: A Meta-Analytic Review," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    5. Miriam Flickinger & Miriam Zschoche, 2018. "Corporate divestiture and performance: an institutional view," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(1), pages 111-131, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:7:y:1982:i:2:p:119-137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.