I'm doing the heterogeneity calculations in a meta-analysis. The I squared values are sometimes negative. How should I consider such a negative values?
Negative I squared is equivalent to 0 which means there is no observed heterogeneity...
" Negative values of I2 are put equal to zero so that I2 lies between 0% and 100%"
Article Measuring Inconsistency in Meta-Analyses
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Hi,
As mentioned in below reference "where Q is Cochran’s heterogeneity statistic and df is the degrees of freedom. Negative values of I2 are set to zero so that I2 lies between 0% and 100%. A value of 0% indicates no observed heterogeneity, and larger values show increasing heterogeneity."
Measuring inconsistency in meta-analyses
Julian P T Higgins, Simon G Thompson, Jonathan J Deeks, Douglas G Altman
Metan: fixed- and random-effects meta-analysis
The Stata Journal (2008)
8, Number 1, pp. 3–28
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