IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v22y1994i3p364-375.html
   My bibliography  Save this article

Multilevel Cross-Classified Models

Author

Listed:
  • HARVEY GOLDSTEIN

    (Institute of Education, London)

Abstract

Random cross-classifications of units can arise at any level of a data hierarchy. For example, school students may be classified both by the schools they attend and their neighborhoods of residence. This article explores the issues of efficiently modeling such data and gives an example from a study of parental choice of schools.

Suggested Citation

  • Harvey Goldstein, 1994. "Multilevel Cross-Classified Models," Sociological Methods & Research, , vol. 22(3), pages 364-375, February.
    • Handle: RePEc:sae:somere:v:22:y:1994:i:3:p:364-375
    DOI: 10.1177/0049124194022003005
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124194022003005
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124194022003005?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. Ajai S Gaur & Chinmay Pattnaik & Deeksha Singh & Jeoung Yul Lee, 2019. "Internalization advantage and subsidiary performance: The role of business group affiliation and host country characteristics," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(8), pages 1253-1282, October.
    3. Putzhammer, Moritz & Fainshmidt, Stav & Puck, Jonas & Slangen, Arjen, 2018. "To elevate or to duplicate? Experiential learning, host-country institutions, and MNE post-entry commitment increase," Journal of World Business, Elsevier, vol. 53(4), pages 568-580.
    4. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    5. Matthew Quick, 2019. "Multiscale spatiotemporal patterns of crime: a Bayesian cross-classified multilevel modelling approach," Journal of Geographical Systems, Springer, vol. 21(3), pages 339-365, September.

    More about this item

    Statistics

    Access and download statistics

    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:somere:v:22:y:1994:i:3:p:364-375. 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.