Correction for Attenuation
Used to correct for attenuated effect sizes due to measurement unreliability.
atten(es, xx, yy, data)
es |
r or z' effect size. |
xx |
Column for reliability of predictor variable ("independent variable"). |
yy |
Column for reliability of outcome variable ("dependent variable"). |
data |
|
A new column for es corrected for attenuation (es.corrected) will be added to the data, for those xx & yy columns with complete data.
AC Del Re & William T. Hoyt
Maintainer: AC Del Re acdelre@gmail.com
Hunter, J. E., Schmidt, F. L. (2004). Methods of meta-analysis (2nd edition). Thousand Oaks, CA: Sage.
# Sample data: id <-c(1, 1:19) n <-c(10,20,13,22,28,12,12,36,19,12,36,75,33,121,37,14,40,16,14,20) r <-c(.68,.56,.23,.64,.49,-.04,.49,.33,.58,.18,-.11,.27,.26,.40,.49, .51,.40,.34,.42,.16) xx <-c(.88,.86,.83,.64,.89,.84,.89,.83,.99,.88,.81,.77,.86,.70,.79, .71,.80,.74,.82,.86) # Reliability of "independent variable" yy <-c(.99,.86,.83,.94,.89,.94,.89,.93,.99,.88,.81,.77,.86,.70,.79, .71,.80,.94,.92,.96) # Reliability of "dependent variable" dat<-data.frame(id, n, r, xx,yy) # Example atten(es= r, xx = xx, yy = yy, data= dat)
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