The metafor Package

A Meta-Analysis Package for R

User Tools

Site Tools

tips:comp_two_independent_estimates

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revisionBoth sides next revision
tips:comp_two_independent_estimates [2020/07/03 10:32] – Wolfgang Viechtbauertips:comp_two_independent_estimates [2021/05/04 11:06] – Wolfgang Viechtbauer
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:
tips/comp_two_independent_estimates.txt · Last modified: 2024/04/18 11:36 by Wolfgang Viechtbauer