IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v23y1998i2p117-128.html
   My bibliography  Save this article

Multilevel Modeling of Educational Data With Cross-Classification and Missing Identification for Units

Author

Listed:
  • Peter W. Hill
  • Harvey Goldstein

Abstract

This paper presents a method for handling educational data in which students belong to more than one unit at a given level, but there is missing information on the identification of the units to which students belong. For example, a student might be classified as belonging sequentially to a particular combination of primary and secondary school, but for some students the identify of either the primary or the secondary school may be unknown. Similar situations arise in longitudinal studies in which students change school or class from one year to the next. The method involves setting up a cross-classified model, but replacing (0, 1) values for unit membership with weights reflecting probabilities of unit membership in cases where membership information is randomly missing. The method is illustrated with reference to longitudinal data on students’ progress in English.

Suggested Citation

  • Peter W. Hill & Harvey Goldstein, 1998. "Multilevel Modeling of Educational Data With Cross-Classification and Missing Identification for Units," Journal of Educational and Behavioral Statistics, , vol. 23(2), pages 117-128, June.
    • Handle: RePEc:sae:jedbes:v:23:y:1998:i:2:p:117-128
    DOI: 10.3102/10769986023002117
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986023002117
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986023002117?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. Alastair H. Leyland & Øyvind Næss, 2009. "The effect of area of residence over the life course on subsequent mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 555-578, June.
    2. Susan M. Paddock & Terrance D. Savitsky, 2013. "Bayesian hierarchical semiparametric modelling of longitudinal post-treatment outcomes from open enrolment therapy groups," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 795-808, June.
    3. Brenden Bishop & Minjeong Jeon, 2016. "Book Review," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1164-1167, December.
    4. Francesco Castellaneta & Oliver Gottschalg, 2016. "Does ownership matter in private equity? The sources of variance in buyouts' performance," Strategic Management Journal, Wiley Blackwell, vol. 37(2), pages 330-348, February.

    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:23:y:1998:i:2:p:117-128. 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.