IDEAS home Printed from https://ideas.repec.org/a/eme/rauspp/rausp-04-2019-0059.html
   My bibliography  Save this article

Multilevel modeling for longitudinal data: concepts and applications

Author

Listed:
  • Joseph F. Hair Jr.
  • Luiz Paulo Fávero

Abstract

Purpose - This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used. Design/methodology/approach - The authors estimate three-level models with repeated measures, offering conditions for their correct interpretation. Findings - From the concepts and techniques presented, the authors can propose models, in which it is possible to identify the fixed and random effects on the dependent variable, understand the variance decomposition of multilevel random effects, test alternative covariance structures to account for heteroskedasticity and calculate and interpret the intraclass correlations of each analysis level. Originality/value - Understanding how nested data structures and data with repeated measures work enables researchers and managers to define several types of constructs from which multilevel models can be used.

Suggested Citation

  • Joseph F. Hair Jr. & Luiz Paulo Fávero, 2019. "Multilevel modeling for longitudinal data: concepts and applications," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 54(4), pages 459-489, September.
    • Handle: RePEc:eme:rauspp:rausp-04-2019-0059
    DOI: 10.1108/RAUSP-04-2019-0059
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/RAUSP-04-2019-0059/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no
    File URL: https://www.emerald.com/insight/content/doi/10.1108/RAUSP-04-2019-0059/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no
    File URL: https://libkey.io/10.1108/RAUSP-04-2019-0059?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. Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).

    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:eme:rauspp:rausp-04-2019-0059. 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: Emerald Support (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.