Using the `dat.raudenbush1985`

from week 3. Rerun the random-effects meta-analysis with REML estimation from the earlier exercises.

- Perform subgroup analyses with tester blindness (
`tester`

): build one model with a common \(\tau^2\) estimate and one without. What do you conclude? - Perform a meta-regression with publication year (
`year`

). Center the year variable first. Make a bubble plot illustrating this meta-regression. What do you conclude? - Perform a permutation test with 5000 shuffles for the meta-regression with publication year. What do you conclude?
- Build a meta-regression model with tester blindness (
`tester`

) compare it to the meta-regression which contains both tester blindness (`tester`

) and centered publication year (`year`

). What do you conclude? - Build an interaction model between tester blindness and publication year. What do you conclude?