IDEAS home Printed from https://ideas.repec.org/a/rfa/jetsjl/v10y2022i4p103-116.html
   My bibliography  Save this article

Does Task-specific Self-efficacy Predict Science Competencies?

Author

Listed:
  • Kristin Nyberg
  • Susanne Koerber
  • Christopher Osterhaus

Abstract

Self-efficacy is an affective-motivational factor that strongly predicts academic performance. With respect to science competencies, self-efficacy is related to two subcomponents that are closely associated already in kindergarten- Science content knowledge (e.g., physics knowledge) and scientific reasoning (e.g., knowing how to conduct a controlled experiment). To make accurate action predictions, the precise and specific measurement of self-efficacy is needed. With respect to different subcomponents of science competencies (i.e., science knowledge and scientific reasoning), there is to date a lack of studies that simultaneously investigate the association between students’ self-efficacy and their performance in these two subcomponents of science competencies. The complex (cross-)relations between these constructs are investigated in the present study. The sample comprised N=181 fifth graders (90 girls, 91 boys). Exploratory and confirmatory factor analyses suggest that the two task-specific self-efficacy scales (scientific reasoning and science content knowledge) can be distinguished from each other and from general academic self-efficacy. Structural equation models reveal that task-specific self-efficacy in scientific reasoning is related to performance in scientific reasoning (.52) and science content knowledge (.32). Conversely, task-specific self-efficacy in science content knowledge correlates with performance in science content knowledge (.36) and scientific reasoning (.27). As expected, the strongest correlations between task-specific self-efficacy and performance emerge within the domain, but the significant cross-relations show the potential for furthering both aspects of performance and self-efficacy of science competencies and a need for a more detailed (longitudinal) investigation of these complex relations.

Suggested Citation

  • Kristin Nyberg & Susanne Koerber & Christopher Osterhaus, 2022. "Does Task-specific Self-efficacy Predict Science Competencies?," Journal of Education and Training Studies, Redfame publishing, vol. 10(4), pages 103-116, October.
  • Handle: RePEc:rfa:jetsjl:v:10:y:2022:i:4:p:103-116
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/jets/article/download/5585/5825
    Download Restriction: no

    File URL: https://redfame.com/journal/index.php/jets/article/view/5585
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:rfa:jetsjl:v:10:y:2022:i:4:p:103-116. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.