IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0238892.html
   My bibliography  Save this article

Individual differences and counterproductive academic behaviors in high school

Author

Listed:
  • Dámaris Cuadrado
  • Jesús F Salgado
  • Silvia Moscoso

Abstract

Counterproductive academic behaviors (CAB) is a problem that has plagued academic institutions for centuries. However, research has mostly been focused on higher learning institutes in North America. For this reason, literature on CAB must be expanded to other geographical areas and academic levels. The present research analyses the prevalence and correlates of CAB in a sample of Spanish high school students. The results indicate that CAB is a common phenomenon, cheating and low effort behaviors being the most prevalent forms. Correlational analyses revealed that conscientiousness (ρ = -.55, p

Suggested Citation

  • Dámaris Cuadrado & Jesús F Salgado & Silvia Moscoso, 2020. "Individual differences and counterproductive academic behaviors in high school," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-19, September.
  • Handle: RePEc:plo:pone00:0238892
    DOI: 10.1371/journal.pone.0238892
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238892
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0238892&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0238892?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
    ---><---

    References listed on IDEAS

    as
    1. Dámaris Cuadrado & Jesús F. Salgado & Silvia Moscoso, 2019. "Prevalence and Correlates of Academic Dishonesty: Towards a Sustainable University," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexandra Martínez & Silvia Moscoso & Mario Lado, 2021. "Effects of Faking on the Predictive Validity of a Quasi-Ipsative Forced-Choice Personality Inventory: Implications for Sustainable Personnel Selection," Sustainability, MDPI, vol. 13(8), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bandar Alkhayyal & Wafa Labib & Talal Alsulaiman & Abdelhakim Abdelhadi, 2019. "Analyzing Sustainability Awareness among Higher Education Faculty Members: A Case Study in Saudi Arabia," Sustainability, MDPI, vol. 11(23), pages 1-13, December.
    2. Alexandra Martínez & Silvia Moscoso & Mario Lado, 2021. "Effects of Faking on the Predictive Validity of a Quasi-Ipsative Forced-Choice Personality Inventory: Implications for Sustainable Personnel Selection," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    3. Seongwook Ha, 2020. "Millennials’ Sleep and Unethical Behavior: Testing the Relationship between Sleep and Academic Dishonesty of Millennials in a Korean University," Sustainability, MDPI, vol. 12(9), pages 1-12, May.
    4. Pnina Steinberger & Yovav Eshet & Keren Grinautsky, 2021. "No Anxious Student Is Left Behind: Statistics Anxiety, Personality Traits, and Academic Dishonesty—Lessons from COVID-19," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    5. Bartosz Kurek & Ireneusz Górowski, 2020. "Importance of Gender, Location of Secondary School, and Professional Experience for GPA—A Survey of Students in a Free Tertiary Education Setting," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    6. Yovav Eshet & Pnina Steinberger & Keren Grinautsky, 2021. "Relationship between Statistics Anxiety and Academic Dishonesty: A Comparison between Learning Environments in Social Sciences," Sustainability, MDPI, vol. 13(3), pages 1-18, February.

    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:plo:pone00:0238892. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.