[R-meta] Beta Coefficients (Predicted Means?) For Inclusion in Meta-Analysis

[Scott Tagliaferri]

Hi All,

I would like to get some advice on including the following article in
meta-analysis. I have requested data from authors but have not been
successful. The article is open access so hopefully it is accessible.

https://www-ncbi-nlm-nih-gov/pmc/articles/PMC4921225/

The report the intercepts from Hierarchical Linear Modeling Analyse in
table 3 for one of the outcomes of importance. Would these values be able
to be used as the mean in analysis, with the SE converted to SD? An example
of their reported data is below.

Post-Treatment
Fixed Effect Beta Coefficient SE t-ratio df p-value
Level 1 Intercept
 CS Rot 15.092 1.586 9.518 90 <0.001
 CS ExtRot 14.301 2.030 7.045 90 <0.001
 NCs Rot 17.219 1.421 12.122 90 <0.001
 NCs ExtRot 13.695 1.813 7.553 90 <0.001
Level 1 Linear
d
 CS Rot −0.609 0.116 −5.268 90 <0.001
 CS ExtRot −0.625 0.143 −4.365 90 <0.001
 NCs Rot −0.702 0.141 −4.968 90 <0.001
 NCs ExtRot −0.878 0.120 −7.318 90 <0.001
Level 1 Quadratic
d
 CS Rot 0.014 0.003 4.256 688 <0.001
 CS ExtRot 0.017 0.004 4.875 688 <0.001
 NCs Rot 0.014 0.004 3.441 688 <0.001
 NCs ExtRot 0.025 0.004 5.936 688 <0.001

Thanks,

Scott.

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