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1.The
I-squared index is a more interpretative way of estimating heterogeneity
in results across studies.
2.One
good feature is that the range of the I-squared index, from 0% to 100%,
is not functionally related to the number of studies in the
meta-analysis.
3.Higgins,
J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a
meta-analysis.
Statistics in Medicine, 21,
1539-1558.
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