brainvolume_df: Meta-Analysis on Human Brain Volume and Intelligence

In NeuroDataSets: A Comprehensive Collection of Neuroscience and Brain-Related Datasets

Meta-Analysis on Human Brain Volume and Intelligence

Description

This dataset, brainvolume_df, is a data frame containing 83 empirical studies included in the meta-analysis by Pietschnig, Penke, Wicherts, Zeiler, and Voracek (2015), which examined the association between human brain volume and intelligence as measured by full-scale IQ. The dataset includes study identifiers, publication year, correlation coefficients, Fisher’s z-transformed values, standard errors, sample sizes, sex composition, and mean participant age. These data provide a comprehensive resource for investigating population-level relationships between brain volume and cognitive ability.

Usage

data(brainvolume_df)

Format

A data frame with 83 observations and 8 variables:

study_name

Study identifier (character)

year

Year of publication (integer)

r

Correlation coefficient between brain volume and intelligence (numeric)

z

Fisher’s z-transformed correlation (numeric)

z_se

Standard error of the Fisher’s z value (numeric)

n

Sample size (integer)

sex

Sex composition of the sample (factor with 4 levels)

mean_age

Mean age of participants (numeric)

Details

The dataset name has been kept as brainvolume_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package and assists users in identifying its specific characteristics. The suffix df indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the metaviz package version 0.3.1

NeuroDataSets documentation built on Aug. 23, 2026, 1:08 a.m.