[R-meta] F test vs QM test for test of moderators
Huang Wu
wuhu@ng0421 @end|ng |rom gm@||@com
Sat Apr 29 04:34:18 CEST 2023
Dear all,
I am writing to ask about the Test of Moderators in meta-analysis.
Specifically, I am curious about the appropriate test to use between the F
test and QM test. I ran the following code and obtained results using the F
test for the Test of Moderators. However, I would like to explore how to
obtain QM test results.
Could you kindly advise me on the suitable test to use and how to obtain QM
test results using the metafor package?
Thank you for your assistance.
Huang
----------------------------------------------------
USnew_c.Dnoctl.model <- rma.mv(yi=effect_d, #effect size
V = VUSnew_c.Dnoctl, #variance (tHIS IS WHAt
CHANGES FROM HEmodel)
mods = ~ grade_level,
random = ~1 | ID/eid, #nesting structure
test= "t", #use t-tests
data=USnew_c.Dnoctl, #define data
method="REML") #estimate variances using REML
summary(USnew_c.Dnoctl.model)
----------------------------------------------------
Multivariate Meta-Analysis Model (k = 142; method: REML)
logLik Deviance AIC BIC AICc
16.9680 -33.9361 -23.9361 -9.2637 -23.4849
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0300 0.1733 19 no ID
sigma^2.2 0.0161 0.1270 142 no ID/eid
Test for Residual Heterogeneity:
QE(df = 139) = 344.3018, p-val < .0001
Test of Moderators (coefficients 2:3):
F(df1 = 2, df2 = 139) = 1.1327, p-val = 0.3251
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