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Why does the Visible Learning research use effect sizes?
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Why do you use an effect size of d=0.40 as a cut-off point and basically ignore effect sizes lower than 0.40?
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What is the preferred timescale over which an effect size can be calculated?
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Is there a bias when using effect sizes in favor of lower achieving students?
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What caution should I take when calculating an effect size?
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Why are effect sizes used when conducting meta-analysis?
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Why can an effect size of 0.40 be gained in a shorter timeframe?
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Can effect sizes be added (or averaged)?
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How accurate are the conclusions drawn from meta-analysis?
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How can the variability associated with each influence be evaluated?