artifacts {psychometric} | R Documentation |
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.
aRxx(x) bRyy(x) cRR(x)
x |
A matrix or data.frame with columns Rxx, Ryy, and u: see EnterMeta |
These are used in the computation of the compound attentuation factor CAFAA
=
mean(a)*mean(b)*mean(c).
A list containing:
ma |
Mean of a (or b or c) |
va |
Variance of a (or b or c) |
One usually will not use these functions alone, but rather use functions that make use of these correction factors.
Thomas D. Fletcher tom.fletcher.mp7e@statefarm.com
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 al data(ABHt32) aRxx(ABHt32) bRyy(ABHt32) cRR(ABHt32) rhoCA(ABHt32) # From Hunter et al data(HSJt35) aRxx(HSJt35) bRyy(HSJt35) cRR(HSJt35) rhoCA(HSJt35)