IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v13y1988i4p299-312.html
   My bibliography  Save this article

Manifest and Latent Markov Chain Models for Categorical Panel Data

Author

Listed:
  • Rolf Langeheine

Abstract

The starting point of this paper is a 3 × 3 × 3 table of repeated behavior ratings of children, which has been previously analyzed by Plewis (1981) using manifest discrete time and continuous time Markov chain models. Potential reasons for the ubiquitous misfit of the manifest discrete time Markov chain model are outlined. It is proposed, instead, to make use of more recent developments in latent discrete time Markov chain modeling that simultaneously address the main problems of heterogeneity, measurement error, stationarity, and order effects.

Suggested Citation

  • Rolf Langeheine, 1988. "Manifest and Latent Markov Chain Models for Categorical Panel Data," Journal of Educational and Behavioral Statistics, , vol. 13(4), pages 299-312, December.
    • Handle: RePEc:sae:jedbes:v:13:y:1988:i:4:p:299-312
    DOI: 10.3102/10769986013004299
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986013004299
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986013004299?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
    ---><---

    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:13:y:1988:i:4:p:299-312. 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.