manylabs2018: Studies from the Many Labs 2 project.

manylabs2018R Documentation

Studies from the Many Labs 2 project.

Description

A subset of the data collected in the Many Labs 2 project which conducted replications of 28 classic and contemporary findings in psychology. The study examined the extent to which variability in replication success can be attributed to the study sample.

Usage

data(manylabs2018)

Format

A dataset with 1,414 rows and 23 variables.

  • lab: The lab which conducted the replication

  • es_id: Unique id for each effect size

  • yi_r: A numeric indicating the observed effect size, expressed in r

  • vi_r: A numeric indicating the variance on the observed effect size, expressed in r

  • yi_d: A numeric indicating the observed effect size, expressed in Cohen's d

  • vi_d: A numeric indicating the variance on the observed effect size, expressed in Cohen's d

  • ni: A numeric indicating the total sample size for the observed effect size

  • country: Country where the sample was collected

  • weird: Dummy variable encoding whether a country was classified as WEIRD; 0 = non-WEIRD, 1 = WEIRD

  • western: Dummy variable encoding a team judgment whether country was considered "western"

  • educated: Education score as measured by the Education Index

  • industrialized: Industrialization score as measured in the 2016 Industrial Development Report

  • rich: Dummy variable encoding whether a country is developed according to the 2014 World Economic Situation and Prospects Report; 0 = emerging or in transition, 1 = developed

  • democratic: The quality democracy in the corresponding country according to the 2015 Democracy Ranking Report. Higher scores indicate higher quality.

  • mean_weird_score: The arithmetic mean of the weird, western, educated, industrialized, and rich variables

  • online: Whether the study was replicated in a lab or online

  • analysis: Unique id for replicated study

Source

https://osf.io/ux3eh/

References

Klein, R. A., et al. (2018). Many Labs 2: Investigating variation in replicability across samples and settings. Advances in Methods and Practices in Psychological Science, 1(4), 443-490. (APS)


psymetadata documentation built on March 24, 2022, 1:06 a.m.