IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v20y1995i2p190-200.html
   My bibliography  Save this article

Hierarchical Models for Educational Data: An Overview

Author

Listed:
  • Carl N. Morris

Abstract

The use of hierarchical models in statistical applications, and for educational data, is a promising but still underutilized approach. However, because these models are more complicated than many standard methods, it is important that we, as users and developers, not rush to use them before we understand them. We emphasize here, in support of the views on hierarchical models expressed in the 3 preceding papers by Draper, by Rogosa and Saner, and by de Leeuw and Kreft, the need to not diminish hard thinking about data and iterative model checking when fitting hierarchical models, the need for more and better software, the need to test methods to assure their proper calibration, and the need to produce supporting materials to aid analysts and users of hierarchical modeling methods.

Suggested Citation

  • Carl N. Morris, 1995. "Hierarchical Models for Educational Data: An Overview," Journal of Educational and Behavioral Statistics, , vol. 20(2), pages 190-200, June.
    • Handle: RePEc:sae:jedbes:v:20:y:1995:i:2:p:190-200
    DOI: 10.3102/10769986020002190
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986020002190
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986020002190?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. Atozou, Baoubadi & Tamini, Lota D. & Bergeronm, Stephane & Doyon, Maurice, 2020. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
    2. Yamen, Ahmed & Allam, Amir & Bani-Mustafa, Ahmed & Uyar, Ali, 2018. "Impact of institutional environment quality on tax evasion: A comparative investigation of old versus new EU members," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 32(C), pages 17-29.

    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:20:y:1995:i:2:p:190-200. 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.