correct_r_bias: Correct correlations for small-sample bias

Description Usage Arguments Details Value References Examples

View source: R/correct_r.R

Description

\loadmathjax

Corrects Pearson correlations (\mjseqnr) for small-sample bias

Usage

1

Arguments

r

Vector of correlations.

n

Vector of sample sizes.

Details

\mjdeqn

r_c=\fracr_obs\left(\frac2n-22n-1\right)r_c = r / ((2 * n - 2) / (2 * n - 1))

Value

Vector of correlations corrected for small-sample bias.

References

Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Sage. doi: 10.4135/9781483398105. pp. 140–141.

Examples

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correct_r_bias(r = .3, n = 30)
correct_r_bias(r = .3, n = 300)
correct_r_bias(r = .3, n = 3000)

Example output

-----------------------------------------------------  psychmeta version 2.3.3  --

Please report any bugs to github.com/psychmeta/psychmeta/issues
or issues@psychmeta.com

We work hard to produce these open-source tools for the R community, 
please cite psychmeta when you use it in your research: 
  Dahlke, J. A., & Wiernik, B. M. (2018). psychmeta: An R package for 
     psychometric meta-analysis. Applied Psychological Measurement. 
     Advance online publication. https://doi.org/10.1177/0146621618795933

Find info about psychmeta on the web at psychmeta.com and twitter.com/psychmetaR

Attaching package: 'psychmeta'

The following object is masked from 'package:stats':

    filter

[1] 0.3051724
[1] 0.3005017
[1] 0.30005

psychmeta documentation built on June 1, 2021, 9:13 a.m.