IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-1735-8_5.html
   My bibliography  Save this book chapter

Asking Good Questions to Understand Voluntary Enrolments in Mathematics

In: Statistics for Data Science and Policy Analysis

Author

Listed:
  • Ning Li

    (Australian Mathematical Sciences Institute)

Abstract

It is of national concern that participation in higher-level mathematics subjects in senior secondary schools has been declining over the last few decades in Australia. As a gateway subject for tertiary studies in Science, Technology, Engineering, and Mathematics (STEM), the persistent decline can impact the country’s economy in the long term. Understanding the causes of the decline can inform practice and help shed light on possible solutions. This paper describes the design and validation of a survey instrument for measuring factors that influence students’ decisions to continue or discontinue studying mathematics beyond Year 10. Taking a social cognitive perspective, the instrument investigates motivation in subject selection under the assumption that what people think, believe and feel affects how they behave. An initial form of the instrument was developed and piloted to 564 Years 10 & 11 students. The responses were then used to analyze the reliability, factorial structure, and discrimination of the form. Psychometric evidences support the formation of a reduced form on scales of self-concept, self-efficacy, subjective value, anxiety and learning experience in mathematics. The refined form has reliable internal consistency and a clear structure.

Suggested Citation

  • Ning Li, 2020. "Asking Good Questions to Understand Voluntary Enrolments in Mathematics," Springer Books, in: Azizur Rahman (ed.), Statistics for Data Science and Policy Analysis, chapter 0, pages 55-70, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-1735-8_5
    DOI: 10.1007/978-981-15-1735-8_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:sprchp:978-981-15-1735-8_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.