Relationship between teaching modality and COVID-19, well-being, and teaching satisfaction (campus & corona): A cohort study among students in higher education

  1. Atle Fretheim
  2. Arnfinn Helleve
  3. Borghild Løyland
  4. Ida Hellum Sandbekken
  5. Martin Flatø
  6. Kjetil Telle
  7. Sara Viksmoen Watle
  8. Alexander Schjøll
  9. Sølvi Helseth
  10. Gro Jamtvedt
  11. Rannveig Kaldager Hart

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Abstract

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  1. Version published to 10.1016/j.puhip.2021.100187
  2. ScreenIT

    SciScore for 10.1101/2021.03.26.21254388: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementConsent: The invitation included a link to a web-based informed consent form and a questionnaire.
    IRB: The Regional Ethical Committee assessed and approved the project plan (24 August, REK sør-øst A, reference number 172155).
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisPower analysis and sample size: We based our power calculation on the assumption that 0.23% (230 per 100.000) of the participants with predominantly online teaching would report testing positive for COVID-19, over a 10-week intervention period – corresponding to the incidence for the age group 20-29 in Norway at the time.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04529421Enrolling by invitationAssocation Between In-person Instruction and COVID-19 Risk

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.03.26.21254388v1 on medRxiv