[R-meta] robumeta and wald_test

[Cátia Ferreira De Oliveira]

Hello,

Just a follow-up.

Apologies for not adding the mailing list to the email.
I am planning many contrasts, they could be accomplished by subgrouping the
data but not sure if that's a good approach. What I am aiming to accomplish
is to determine whether there are
a) any differences between the TD group and DD/DLD groups for grammar,
vocabulary and phonology;
b) comparing whether the effect for grammar, phonology and vocabulary == 0;
c) pairwise comparisons of the effect for grammar, phonology and vocabulary
to see if they are different;
d) check whether the correlation is different from 0 for the reference
level (TD) for each component - grammar, vocabulary, phonology (not sure if
I would need to run a different model for this one).

The reference level is the TD group, there are three groups (TD, DD and
DLD) and three components (grammar, vocabulary and phonology).


*component <- robu(formula = yi ~ 0 + Component + Group:Component, data =
df,*
*                       studynum = Study, var.eff.size = vi,*
*                       rho = .8, small = TRUE)*
*print(component)*


*RVE: Correlated Effects Model with Small-Sample Corrections*

*Model: yi ~ 0 + Component + Group:Component*



*Number of studies = 34*
*Number of outcomes = 305 (min = 1 , mean = 8.97 , median = 4 , max = 48 )*
*Rho = 0.8*
*I.sq = 47.09732**Tau.sq = 0.02458387*


*                               Estimate StdErr t-value   dfs P(|t|>) 95%
CI.L 95% CI.U Sig*
*1             ComponentGrammar  0.05897 0.0456   1.293 11.45  0.2217
 -0.0410   0.1589    *
*2           ComponentPhonology -0.00383 0.0356  -0.108  8.05  0.9169
 -0.0857   0.0781    *
*3          ComponentVocabulary  0.09662 0.0592   1.631  5.35  0.1600
 -0.0527   0.2460    *
*4     ComponentGrammar.GroupDD  0.03277 0.0590   0.555  1.05  0.6740
 -0.6412   0.7068    *
*5   ComponentPhonology.GroupDD  0.01557 0.0929   0.168  5.60  0.8728
 -0.2159   0.2470    *
*6  ComponentVocabulary.GroupDD -0.16516 0.0592  -2.788  5.35  0.0358
 -0.3145  -0.0158  ***
*7    ComponentGrammar.GroupDLD -0.08097 0.0819  -0.989 14.99  0.3386
 -0.2556   0.0936    *
*8  ComponentPhonology.GroupDLD  0.35854 0.1760   2.037  5.77  0.0897
 -0.0763   0.7934   **
*9 ComponentVocabulary.GroupDLD -0.10642 0.0692  -1.537  9.94  0.1555
 -0.2608   0.0480    *

*---*
*Signif. codes: < .01 *** < .05 ** < .10 **
*---*
*Note: If df < 4, do not trust the results*



Thank you! I am a bit new to using the constraints.

Best wishes,

Catia

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