My clustered several variables into a model. this set below is one of them
Overall, 6 clusters including the data set below are created.
I chose 3 level meta analysis cause level 3 is proven to be preffered according to anova() comparison.
However, Tau2_2 in the data is extremely low almost 0 with 3 decimal. this is the same for all other clusters.
and the overall model.
My question is that is there any constraint that works? or is it possible outcome?
Call:
meta3(y = fisherz, v = v, cluster = id, x = cbind("dis", "review"),
data = KORdb, intercept.constraints = 0, model.name = "Modelpub")
95% confidence intervals: z statistic approximation
Coefficients:
Estimate Std.Error lbound ubound z value Pr(>|z|)
Slope_1 3.0175e-01 3.1594e+02 -6.1892e+02 6.1953e+02 0.0010 0.99924
Slope_2 3.0175e-01 3.1594e+02 -6.1892e+02 6.1953e+02 0.0010 0.99924
Tau2_2 9.9365e-11 1.0092e-02 -1.9779e-02 1.9779e-02 0.0000 1.00000
Tau2_3 3.9636e-02 1.5767e-02 8.7337e-03 7.0537e-02 2.5139 0.01194 *
Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1