IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0239816.html
   My bibliography  Save this article

Predictors of academic efficacy and dropout intention in university students: Can engagement suppress burnout?

Author

Listed:
  • João Marôco
  • Hugo Assunção
  • Heidi Harju-Luukkainen
  • Su-Wei Lin
  • Pou-Seong Sit
  • Kwok-cheung Cheung
  • Benvindo Maloa
  • Ivana Stepanović Ilic
  • Thomas J Smith
  • Juliana A D B Campos

Abstract

In this study we modelled possible causes and consequences of student burnout and engagement on academic efficacy and dropout intention in university students. Further we asked, can student engagement protect against the effects of burnout? In total 4,061 university students from Portugal, Brazil, Mozambique, the United Kingdom, the United States of America, Finland, Serbia, and Macao SAR, Taiwan participated in this study. With the data collected we analyzed the influence of Social Support, Coping Strategies, and school/course related variables on student engagement and burnout using structural equation modeling. We also analyzed the effect of student engagement, student burnout, and their interaction, on Academic Performance and Dropout Intention. We found that both student engagement and burnout are good predictors of subjective academic performance and dropout intention. However, student burnout suppresses the effect of student engagement on these variables. This result has strong implications for practitioners and administrators. To prevent student dropout, it is not enough to promote student engagement—additionally, and importantly, levels of student burnout must be kept low. Other variables such as social support and coping strategies are also relevant predictors of student engagement and burnout and should be considered when implementing preventive actions, self-help and guided intervention programs for college students.

Suggested Citation

  • João Marôco & Hugo Assunção & Heidi Harju-Luukkainen & Su-Wei Lin & Pou-Seong Sit & Kwok-cheung Cheung & Benvindo Maloa & Ivana Stepanović Ilic & Thomas J Smith & Juliana A D B Campos, 2020. "Predictors of academic efficacy and dropout intention in university students: Can engagement suppress burnout?," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-26, October.
    • Handle: RePEc:plo:pone00:0239816
    DOI: 10.1371/journal.pone.0239816
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0239816
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0239816&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0239816?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. Hao Wu & Ryne Estabrook, 2016. "Identification of Confirmatory Factor Analysis Models of Different Levels of Invariance for Ordered Categorical Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1014-1045, December.
    Full references (including those not matched with items on IDEAS)

    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. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    2. Chen, Yunxiao & Moustaki, Irini & Zhang, H, 2020. "A note on likelihood ratio tests for models with latent variables," LSE Research Online Documents on Economics 107490, London School of Economics and Political Science, LSE Library.
    3. Pietschnig, Jakob & Deimann, Pia & Hirschmann, Nicole & Kastner-Koller, Ursula, 2021. "The Flynn effect in Germanophone preschoolers (1996–2018): Small effects, erratic directions, and questionable interpretations," Intelligence, Elsevier, vol. 86(C).
    4. Ziqin Liang & Elisa Delvecchio & Adriana Lis & Claudia Mazzeschi, 2023. "Italian Validation of the Delaying Gratification Inventory in Adolescents," IJERPH, MDPI, vol. 20(15), pages 1-12, August.
    5. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    6. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
    7. Gregor Sočan & Gaja Zager Kocjan, 2022. "Person-level assessment of measurement invariance," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3481-3503, October.
    8. Veljko Jovanović & Maksim Rudnev & Naved Iqbal & Sean P. M. Rice & Magdalena Żemojtel-Piotrowska, 2022. "Cross-Cultural Measurement of Positive and Negative Emotions in Adolescence: Evidence from Three Countries," Journal of Happiness Studies, Springer, vol. 23(7), pages 3143-3160, October.
    9. Manasi Murthy Mittinty & Pedro H. R. Santiago & Lisa Jamieson, 2022. "Assessment of Pain-Related Fear in Indigenous Australian Populations Using the Fear of Pain Questionnaire-9 (FPQ-9)," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    10. Yu-Wei Chang & Nan-Jung Hsu & Rung-Ching Tsai, 2017. "Unifying Differential Item Functioning in Factor Analysis for Categorical Data Under a Discretization of a Normal Variant," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 382-406, June.
    11. Guey-Shin Shyu & Shinn-Jou Lin & Wei-Ta Fang & Bai-You Cheng, 2020. "How to Screen Suitable Service Improve Community Health Care Services by University Students in Taiwan," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
    12. Dandara Gabriela Haag & Pedro Henrique Ribeiro Santiago & Davi Manzini Macedo & João Luiz Bastos & Yin Paradies & Lisa Jamieson, 2020. "Development and initial psychometric assessment of the race-related attitudes and multiculturalism scale in Australia," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    13. Tomas Lazdauskas & Sean C. McDevitt, 2023. "The Chess–Thomas Adult Temperament Questionnaire: Psychometric Properties of the Lithuanian Version," Social Sciences, MDPI, vol. 12(2), pages 1-11, January.
    14. Rocsana Bucea-Manea-Țoniș & Dan Gheorghe Paun & Veronica Mindrescu & Cristian Cătună, 2023. "Yoga, an Appurtenant Method to Improve the Sports Performance of Elite Romanian Athletes," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    15. Hartung, Johanna & Goecke, Benjamin & Schroeders, Ulrich & Schmitz, Florian & Wilhelm, Oliver, 2022. "Latin square tasks: A multi-study evaluation," Intelligence, Elsevier, vol. 94(C).
    16. Lazaridis, Alexandros & Vetter, Marco & Pietschnig, Jakob, 2022. "Domain-specificity of Flynn effects in the CHC-model: Stratum II test score changes in Germanophone samples (1996–2018)," Intelligence, Elsevier, vol. 95(C).
    17. Hao Wu, 2016. "A Note on the Identifiability of Fixed-Effect 3PL Models," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1093-1097, December.
    18. Yunxiao Chen & Irini Moustaki & Haoran Zhang, 2020. "A Note on Likelihood Ratio Tests for Models with Latent Variables," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 996-1012, December.

    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:pone00:0239816. 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.