artifacts: Artifact Distribtutions Used in Meta-Analysis
Description
Three artifact distributions are computed with each of these three
functions which are then used to correct the observed sample-weighted
mean correlation for attenuation. The artifacts are reliability in predictor,
reliability in criterion, and range-restriction.
Usage
aRxx(x)
bRyy(x)
cRR(x)
Value
A list containing:
ma
Mean of a (or b or c)
va
Variance of a (or b or c)
Arguments
x
A matrix or data.frame with columns Rxx, Ryy, and u: see EnterMeta
aRxx Distribution of measurement error in the predictor: a = sqrt(Rxx)
bRyy Distribution of measurement error in the criterion: b = sqrt(Ryy)
cRR Degree of range restriction indicated by ratio u
(restricted SD/unrestricted SD): \(c = sqrt((1-u^2)*rb^2+u^2) \).
These are used in the computation of the compound attentuation factor CAFAA =
mean(a)*mean(b)*mean(c).
References
Arthur, Jr., W., Bennett, Jr., W., and Huffcutt, A. I. (2001)
Conducting Meta-analysis using SAS.
Mahwah, NJ: Erlbaum.
Hunter, J.E. and Schmidt, F.L. (2004). Methods of meta-analysis:
Correcting error and bias in research findings (2nd ed.). Thousand Oaks: Sage Publications.
Hunter, J.E., Schmidt, F.L., and Jackson, G.B. (1982). Meta-analysis:
Cumulating research findings across studies. Beverly Hills: Sage Publications.
# From Arthur et aldata(ABHt32)
aRxx(ABHt32)
bRyy(ABHt32)
cRR(ABHt32)
rhoCA(ABHt32)
# From Hunter et aldata(HSJt35)
aRxx(HSJt35)
bRyy(HSJt35)
cRR(HSJt35)
rhoCA(HSJt35)