# The metafor Package

A Meta-Analysis Package for R

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tips:comp_two_independent_estimates

# Differences

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 tips:comp_two_independent_estimates [2020/07/03 10:32]Wolfgang Viechtbauer tips:comp_two_independent_estimates [2021/05/04 11:06] (current)Wolfgang Viechtbauer Both sides previous revision Previous revision 2021/05/04 11:06 Wolfgang Viechtbauer 2020/07/03 10:32 Wolfgang Viechtbauer 2020/07/03 10:28 Wolfgang Viechtbauer 2020/07/03 10:23 Wolfgang Viechtbauer 2019/09/26 07:15 external edit 2021/05/04 11:06 Wolfgang Viechtbauer 2020/07/03 10:32 Wolfgang Viechtbauer 2020/07/03 10:28 Wolfgang Viechtbauer 2020/07/03 10:23 Wolfgang Viechtbauer 2019/09/26 07:15 external edit Line 154: Line 154: A discussion/comparison of these two approaches (i.e., assuming a single $\tau^2$ value or allowing $\tau^2$ to differ across subsets) can be found in the following article: A discussion/comparison of these two approaches (i.e., assuming a single $\tau^2$ value or allowing $\tau^2$ to differ across subsets) can be found in the following article: - Rubio-Aparicio, M., López-López, J. A., Viechtbauer, W., Marín-Martínez, F., Botella, J., & Sánchez-Meca, J. (in press). A comparison of hypothesis tests for categorical moderators in meta-analysis using mixed-effects models. //Journal of Experimental Education//. [[https://www.tandfonline.com/doi/full/10.1080/00220973.2018.1561404|[Link]]] + Rubio-Aparicio, M., López-López, J. A., Viechtbauer, W., Marín-Martínez, F., Botella, J., & Sánchez-Meca, J. (2020). Testing categorical moderators in mixed-effects meta-analysis in the presence of heteroscedasticity. //Journal of Experimental Education, 88//(2), 288-310. [[https://doi.org/10.1080/00220973.2018.1561404]] We can also do a likelihood ratio test (LRT) to examine whether there are significant differences in the $\tau^2$ values across subsets. This can be done with: We can also do a likelihood ratio test (LRT) to examine whether there are significant differences in the $\tau^2$ values across subsets. This can be done with: