IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v47y2018i20p4991-5012.html
   My bibliography  Save this article

Importance of sampling weights in multilevel modeling of international large-scale assessment data

Author

Listed:
  • Inga Laukaityte
  • Marie Wiberg

Abstract

Multilevel modeling is an important tool for analyzing large-scale assessment data. However, the standard multilevel modeling will typically give biased results for such complex survey data. This bias can be eliminated by introducing design weights which must be used carefully as they can affect the results. The aim of this paper is to examine different approaches and to give recommendations concerning handling design weights in multilevel models when analyzing large-scale assessments such as TIMSS (The Trends in International Mathematics and Science Study). To achieve the goal of the paper, we examined real data from two countries and included a simulation study. The analyses in the empirical study showed that using no weights or only level 1 weights sometimes could lead to misleading conclusions. The simulation study only showed small differences in estimation of the weighted and unweighted models when informative design weights were used. The use of unscaled or not rescaled weights however caused significant differences in some parameter estimates.

Suggested Citation

  • Inga Laukaityte & Marie Wiberg, 2018. "Importance of sampling weights in multilevel modeling of international large-scale assessment data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(20), pages 4991-5012, October.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:20:p:4991-5012
    DOI: 10.1080/03610926.2017.1383429
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2017.1383429
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2017.1383429?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
    ---><---

    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. Jose Marquez & Gill Main, 2021. "Can Schools and Education Policy Make Children Happier? A Comparative Study in 33 Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 283-339, February.
    2. Ian P. McManus, 2024. "Workforce automation risks across race and gender in the United States," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(2), pages 463-492, March.
    3. Jin-Ling Yan & Yong-Jie Xue & Muhammad Mohsin, 2022. "Accessing Occupational Health Risks Posed by Fishermen Based on Fuzzy AHP and IPA Methods: Management and Performance Perspectives," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

    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:taf:lstaxx:v:47:y:2018:i:20:p:4991-5012. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.