manylabs2018 | R Documentation |
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.
data(manylabs2018)
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
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)
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