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--- news:news [2022/09/26 14:55] – Wolfgang Viechtbauer
+++ news:news [2022/09/26 19:31] – Wolfgang Viechtbauer
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 ~~NOTOC~~
+==== 2022-09-26: Confidence Intervals for $R^2$ ====
+The (pseudo) $R^2$ statistic that is shown in the output for meta-regression models fitted with the ''rma()'' function provides an estimate of how much of the total amount of heterogeneity is accounted for by the moderator(s) included in the model (Raudenbush, 2009). However, it is important to realize that this statistic can be quite inaccurate, especially when the number of studies ($k$) is small. We may therefore want to construct a confidence interval to get a better sense of how precise the value may be. This can be done using bootstrapping, as illustrated [[tips:ci_for_r2|here]]. I also conducted a small simulation study to examine how well bootstrapping actually works for constructing CIs for $R^2$. The results indicate that the bias-corrected and accelerated (BCa) CI actually works quite well, as long as $k$ is at least 40 and the true value of $R^2$ is not too small.
 ==== 2022-08-27: Version 3.8-1 Released on CRAN ====