IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v44y2019i1p103-121.html
   My bibliography  Save this article

Multilevel Modeling With Stat-JR SAAs: A Software Review

Author

Listed:
  • Minjung Kim

    (The Ohio State University)

  • Hsien-Yuan Hsu

    (University of Texas Health Science Center)

Abstract

Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5), with regard to their use for MLM. In this article, we review the features of Stat-JR’s SAAs and illustrate how to implement SAAs, using one of the Stat-JR interfaces to analyze multilevel models for the 1982 High School and Beyond data set. Results from Stat-JR SAA are compared with the results using HLM7.01 software. We also discuss recommendations and implications for future users of SAAs.

Suggested Citation

  • Minjung Kim & Hsien-Yuan Hsu, 2019. "Multilevel Modeling With Stat-JR SAAs: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 44(1), pages 103-121, February.
  • Handle: RePEc:sae:jedbes:v:44:y:2019:i:1:p:103-121
    DOI: 10.3102/1076998618811383
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998618811383
    Download Restriction: no

    File URL: https://libkey.io/10.3102/1076998618811383?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:44:y:2019:i:1:p:103-121. 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.