IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v178y2015i2p405-424.html
   My bibliography  Save this article

A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001–2010

Author

Listed:
  • George Leckie
  • Harvey Goldstein

Abstract

type="main" xml:id="rssa12066-abs-0001"> Multilevel binomial logistic regression has recently been proposed for the special case of statistically modelling changing composition and segregation of two groups of individuals over two occasions among organizational units, enabling inferences to be made about the underlying social processes which generate these patterns. A simulation method can then be used to re-express the model parameters in the metric of any desired two-group segregation index. We generalize this combined modelling and simulation approach by proposing multilevel random-coefficient multinomial logistic regression for the general case of statistically modelling multiple groups of individuals over multiple occasions and multiple organizational scales. We illustrate this combined approach with an application to modelling changing three-group white–black–Asian ethnic composition and segregation among London secondary schools and local authorities during the first decade of the 21st century.

Suggested Citation

  • George Leckie & Harvey Goldstein, 2015. "A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001–2010," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(2), pages 405-424, February.
    • Handle: RePEc:bla:jorssa:v:178:y:2015:i:2:p:405-424
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssa.2015.178.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Juan Merlo & Philippe Wagner & Nermin Ghith & George Leckie, 2016. "An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-31, April.
    2. Richard Harris & Dewi Owen, 2018. "Implementing a Multilevel Index of Dissimilarity in R with a case study of the changing scales of residential ethnic segregation in England and Wales," Environment and Planning B, , vol. 45(6), pages 1003-1021, November.
    3. Kelvyn Jones & Ron Johnston & David Manley & Dewi Owen & Chris Charlton, 2015. "Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011," Demography, Springer;Population Association of America (PAA), vol. 52(6), pages 1995-2019, December.
    4. George Leckie, 2022. "A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 758-762, July.
    5. Philipp Meyer‐Doyle & Sunkee Lee & Constance E. Helfat, 2019. "Disentangling the microfoundations of acquisition behavior and performance," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1733-1756, November.
    6. Mariana C Arcaya & Gabriel Schwartz & SV Subramanian, 2018. "A multi-level modeling approach to understanding residential segregation in the United States," Environment and Planning B, , vol. 45(6), pages 1090-1105, November.
    7. Julien Randon-Furling & Madalina Olteanu & Antoine Lucquiaud, 2020. "From urban segregation to spatial structure detection," Environment and Planning B, , vol. 47(4), pages 645-661, May.
    8. Filippo Temporin, 2019. "A multilevel structural equation modelling approach to study segregation of deprivation: an application to Bolivia," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1657-1674, May.
    9. Matthew Quick & Nick Revington, 2022. "Exploring the global and local patterns of income segregation in Toronto, Canada: A multilevel multigroup modeling approach," Environment and Planning B, , vol. 49(2), pages 637-653, February.
    10. Fredrik Jansson & Gunn Elisabeth Birkelund & Mats Lillehagen, 2020. "Segregation within school classes: Detecting social clustering in choice data," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-27, June.

    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:bla:jorssa:v:178:y:2015:i:2:p:405-424. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.