CIrb: Confidence Interval about Sample Weighted Mean Correlation

In psychometric: Applied Psychometric Theory

Confidence Interval about Sample Weighted Mean Correlation

Description

Produces a CI for the desired level of the sample weighted mean correlation using the appropriate standard error.

Usage

CIrb(x, LEVEL = 0.95, homogenous = TRUE)

Arguments

x	A matrix or data.frame with columns Rxy and n: see EnterMeta
LEVEL	Significance Level for constructing the CI, default is .95
homogenous	Whether or not to use homogenous or heterogenous SE

Details

The CI is constructed based on the uncorrected mean correlation. It is corrected for sampling error only. To get the CI for the mean correlation corrected for artifacts, use CredIntRho, but this is a credibility interval rather than a confidence interval. See Hunter & Schmidt (2004) for more details on the interpretation of the differences.

If the CI is computed about a heterogenous mean correlation, one is implying that moderators are present, but that one can't determine what those moderators might be. Otherwise, strive to parse the studies into homogenous subsets and create CI about those means within the subsets.

Value

A list containing:

LCL	Lower Confidence Limit of the CI
UCL	Upper Confidence Limit of the CI

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

SErbar, rbar

Examples

#From Arthur et al
data(ABHt32)
rbar(ABHt32)
CIrb(ABHt32)

# From Hunter et al
data(HSJt35)
rbar(HSJt35)
CIrb(HSJt35)

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