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  • 6.

    Describe relevant data collection, data transformation, and measurement properties under the applicable evidence category.

    • If there were any other categories of measures not covered by the above categories, flag them here.

    • Describe the way the data were collected and transformed into the final measure of effect.

    • Detail any reliability and validity information.

  • 7.

    Describe statistical tests used.

    • For each type of measure, detail statistical approach taken, including mention of software when relevant.

    • List any confounders for which there was adjustment.

  • 8.

    Describe all findings regarding implementation

    • For point estimates, include units and confidence intervals where relevant. Identify the time of the measures in a way consistent with the description of the design in Q35.

    • For effect estimates, include units and confidence intervals, where relevant.

    • State statistical test, statistical hypothesis, test statistic, p-value, and effect size, as provided in the text.

  • 9.

    Describe all findings regarding intermediate OHS outcomes.

    • For point estimates, include units and confidence intervals where relevant. Identify the time of the measures in a way consistent with the description of the design in Q35.

    • For effect estimates, include units and confidence intervals, where relevant.

    • State statistical test, statistical hypothesis, test statistic, p-value, and effect size, as provided in the text.

  • 10.

    Describe all findings regarding final OHS outcomes.

    • For point estimates, include units and confidence intervals where relevant. Identify the time of the measures in a way consistent with the description of the design in Q35.

    • For effect estimates, include units and confidence intervals, where relevant.

    • State statistical test, statistical hypothesis, test statistic, p-value, and effect size, as provided in the text.

Institute for Work & Health

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