Virtually in synch: a pilot study on affective dimensions of dancing with Parkinson’s during COVID-19

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Abstract

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  1. SciScore for 10.1101/2021.05.17.20249000: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Following ethics approval for a study involving human participants from Office of Research Ethics at York University with the approval of all questionnaires and procedures (Certificate# 2017-269), an online survey including a consent form and PANAS-X evaluating mood before and after the virtual class, along with questions pertaining to attendance, music type, and enjoyment, were distributed through an on-line Qualtrics link to classes around the world.
    Sex as a biological variableParticipants in this report include 17 females and 5 males with a mean age of 68, diagnosed with Parkinson’s disease.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot 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: No clinical trial numbers were referenced.


    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.

    Results from scite Reference Check: We found no unreliable references.


    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.