SErbar {psychometric} | R Documentation |
Standard Error for Sample Size Weighted Mean Correlation
Description
The standard error of homogenous or heterogenous samples is computed to be used for
construction of confidence intervals about the Sample Size Weighted Mean Correlation in
meta-analysis. Use SERHOM
if no moderators are present (population is homogenous), and
use SERHET
if moderators are present (population is heterogenous).
Usage
SERHOM(x)
SERHET(x)
Arguments
x |
A matrix or data.frame with columns Rxy and n: see |
Details
The formula for each are:
SERHOM <- (1-rb^2)/sqrt(N-k)
SERHET <- sqrt((1-rb^2)^2/(N-k)+varRes(x)/k)
where, rb is rbar
, N is the total sample size, k is the number of studies.
Value
A numeric value, the standard error
Author(s)
Thomas D. Fletcher t.d.fletcher05@gmail.com
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.
See Also
Examples
# From Arthur et al
data(ABHt32)
SERHOM(ABHt32)
SERHET(ABHt32)
CIrb(ABHt32)
# From Hunter et al
data(HSJt35)
SERHOM(HSJt35)
SERHET(HSJt35)
CIrb(HSJt35)