FileDrawer: File Drawer N

In psychometric: Applied Psychometric Theory

File Drawer N

Description

Computes the number of 'lost' studies needed to render the observed meta-analytic correlation to non-significance.

Usage

FileDrawer(x, rc = 0.1)

Arguments

x	A matrix or data.frame with columns Rxy and n: see EnterMeta
rc	cut-off correlation for which to make a comparison

Details

Use to detect availability bias in published correlations. It is computed as n <- k * (rb/rc - 1), where, n is the file drawer n, k is the number of studies in current meta-analyis, rb is rbar and rc is the cut-off correlation for which you wish to make a comparison. For a test of the null hypothesis, use rc = 0. In many instances, practitioners are interested in reducing correlations to less than 1 percent of the variance accounted for (i.e., rc = .1).

Value

"# of 'lost' studies needed"

File drawer N needed to change decision

Author(s)

Thomas D. Fletcher [e-mail]

References

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.

Rosenthal, R. (1979). The "file-drawer problem" and tolerance for null results. Psychological Bulletin, 86, 638-641.

See Also

FunnelPlot

Examples

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

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

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