varRes: Residual Variance in Meta-Analytic Correlation

In psychometric: Applied Psychometric Theory

Residual Variance in Meta-Analytic Correlation

Description

Computes the residual variance in the sample-weighted correlation coefficient by removing variance due to sampling error.

Usage

varRes(x)

Arguments

x	A matrix or data.frame with columns Rxy and n: see EnterMeta

Details

computed as varr - vare

Useful in the construction of the SE for heterogenous populations SERHET

Value

A numeric value representing the residual variance

Author(s)

Thomas D. Fletcher [e-mail]

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

varr, vare, SERHET

Examples

# From Arthur et al
data(ABHt32)
varRes(ABHt32)

# From Hunter et al
data(HSJt35)
varRes(HSJt35)

psychometric documentation built on Nov. 6, 2023, 1:06 a.m.