brainvol: Example data for a meta-analysis of correlations: Human brain...
In Mkossmeier/metaviz: Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis
Description
Usage
Format
References
Description
A dataset consisting of 83 empirical studies used in the meta-analysis of
Pietschnig, Penke, Wicherts, Zeiler, and Voracek (2015) on the associations between human brain volume and
intelligence (measured full-scale IQ) in healthy participant samples.
Usage
1
Format
A data frame with 83 rows and 8 variables:
- study_name
short name of each study
- year
publication year of each study
- r
observed correlations between intelligence and brain size
- z
Fisher's z transform of the observed correlations for meta-analysis
- z_se
Standard error of Fisher's z transformed observed correlations for meta-analysis
- n
sample size of each study
- sex
categorical moderator variable: gender of the participants in each study
- mean_age
continuous moderator variable: mean age of all participants in each study
References
Pietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M., & Voracek, M. (2015). Meta-analysis of
associations between human brain volume and intelligence differences: How strong are they and what do they mean?.
Neuroscience & Biobehavioral Reviews, 57, 411-432.
Mkossmeier/metaviz documentation built on April 8, 2020, 2:30 a.m.
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Description Usage Format References
Description
A dataset consisting of 83 empirical studies used in the meta-analysis of Pietschnig, Penke, Wicherts, Zeiler, and Voracek (2015) on the associations between human brain volume and intelligence (measured full-scale IQ) in healthy participant samples.
Usage
1 |
Format
A data frame with 83 rows and 8 variables:
- study_name
short name of each study
- year
publication year of each study
- r
observed correlations between intelligence and brain size
- z
Fisher's z transform of the observed correlations for meta-analysis
- z_se
Standard error of Fisher's z transformed observed correlations for meta-analysis
- n
sample size of each study
- sex
categorical moderator variable: gender of the participants in each study
- mean_age
continuous moderator variable: mean age of all participants in each study
References
Pietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M., & Voracek, M. (2015). Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean?. Neuroscience & Biobehavioral Reviews, 57, 411-432.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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