se.tetra: Computes the standard error for a tetrachoric correlation...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a tetrachoric correlation approximation

Description

This function computes an estimate of a tetrachoric correlation approximation and its standard error using the frequency counts from a 2 x 2 contingency table for two artifically dichotomous variables. A tetrachoric approximation could be compatible with a Pearson correlation in a meta-analysis. The tetrachoric approximation and the standard error from this function can be used as input in the meta.ave.cor.gen function in a meta-analysis where some studies have reported Pearson correlations between quantitative variables x and y and other studies have reported a 2 x 2 contingency table for dichotomous measurements of variables x and y.

Usage

se.tetra(f00, f01, f10, f11)

Arguments

f00	number of participants with y = 0 and x = 0
f01	number of participants with y = 0 and x = 1
f10	number of participants with y = 1 and x = 0
f11	number of participants with y = 1 and x = 1

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated tetrachoric approximation

• SE - standard error

References

\insertRef

Bonett2005vcmeta

Examples

se.tetra(46, 15, 54, 85)

# Should return:
#                Estimate         SE 
# Tetrachoric:  0.5135167 0.09358336

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.