The metafor Package

A Meta-Analysis Package for R

User Tools

Site Tools

analyses:gleser2009

Differences

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

Link to this comparison view

Both sides previous revisionPrevious revision
Last revisionBoth sides next revision
analyses:gleser2009 [2021/09/24 16:34] – Wolfgang Viechtbaueranalyses:gleser2009 [2022/08/03 11:17] – Wolfgang Viechtbauer
Line 291: Line 291:
 Variance Components: none Variance Components: none
  
-Test for Residual Heterogeneity: +Test for Residual Heterogeneity:
 QE(df = 4) = 3.945, p-val = 0.414 QE(df = 4) = 3.945, p-val = 0.414
  
-Test of Moderators (coefficient(s) 1,2): +Test of Moderators (coefficient(s) 1,2):
 QM(df = 2) = 252.165, p-val < .001 QM(df = 2) = 252.165, p-val < .001
  
 Model Results: Model Results:
  
-              estimate     se    zval   pval  ci.lb  ci.ub     +              estimate     se    zval   pval  ci.lb  ci.ub
 factor(trt)1     2.374  0.150  15.804  <.001  2.080  2.669  *** factor(trt)1     2.374  0.150  15.804  <.001  2.080  2.669  ***
 factor(trt)2     1.570  0.189   8.330  <.001  1.201  1.940  *** factor(trt)2     1.570  0.189   8.330  <.001  1.201  1.940  ***
Line 315: Line 315:
 factor(trt)2      0.01244      0.03554 factor(trt)2      0.01244      0.03554
 </code> </code>
-The same results are given on page 367. +The same results are given on page 367.
  
 ==== Multiple-Endpoint Studies ==== ==== Multiple-Endpoint Studies ====
Line 391: Line 391:
 Variance Components: none Variance Components: none
  
-Test for Residual Heterogeneity: +Test for Residual Heterogeneity:
 QE(df = 12) = 19.626, p-val = 0.074 QE(df = 12) = 19.626, p-val = 0.074
  
-Test of Moderators (coefficient(s) 1,2): +Test of Moderators (coefficient(s) 1,2):
 QM(df = 2) = 13.005, p-val = 0.001 QM(df = 2) = 13.005, p-val = 0.001
  
 Model Results: Model Results:
  
-                estimate     se   zval   pval  ci.lb  ci.ub     +                estimate     se   zval   pval  ci.lb  ci.ub
 outcomemath        0.362  0.100  3.603  <.001  0.165  0.558  *** outcomemath        0.362  0.100  3.603  <.001  0.165  0.558  ***
 outcomereading     0.205  0.099  2.062  0.039  0.010  0.400    * outcomereading     0.205  0.099  2.062  0.039  0.010  0.400    *
analyses/gleser2009.txt · Last modified: 2022/08/03 16:58 by Wolfgang Viechtbauer