W9: Performing meta-analysis in R Flashcards
Interpret effect size of random-effects model with 9 studies investigating association between amniotic testosterone and sexually differentiated play play preferences (2)
- ## The effect size estimate is 0.0818 with a p value of 0.2737
- therefore shows that the association between amniotic testosterone and sexually differentiated play preferences is not significant at any level.
Interpret effect size CI random-effects model with 9 studies investigating association between amniotic testosterone and sexually differentiated play play preferences (2)
- It has confidence intervals with lower bound of -0.0647 and upper bound of 0.2283.
- This contains 0 and therefore the effect size is not significant
Interpret heterogenity with 9 studies investigating association between amniotic testosterone and sexually differentiated play play preferences (3)
- The test for heterogeneity is significant at the 5% level (Q = 18.25, p = 0.0194)
- From the I^2 statistic there is moderate heterogeneity since its between 30 to 60% (I^2 = 56.30%).
- This shows that all the studies included in the meta-analysis showing that not all studies show the same effect with amniotic testosterone and sexually differentiated preferences.
What does leave1out (ma) do? - (2)
- This recalculates the meta-analysis whilst excluding each of the sample
- These identifies if any sample is exerting a large influence of meta-analysis:
Egger’s test used to assess
possible potential publication biases in meta-analysis via funnel plot asymmetry
In this Egger’s test it shows that
- The p value is 0.1848 which is not significant and therefore no evidence of publication bias (less than 0.05 implicates publication bias)
Moderator Analysis
Checking if sex is a moderator between correlation of aminotic T and sex-typical play preferences:
- The p value is 0.617 and therefore sex is not a moderator of amniotic testosterone levels and sex-typical play references.