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Confidence interval for a linear contrast of G-index coefficients

Source: R/meta_comp.R
meta.lc.agree.Rd

Computes the estimate, standard error, and adjusted Wald confidence interval for a linear contrast of G-index of agreement coefficients from two or more studies. This function assumes that two raters each provide a dichotomous rating for a sample of objects.

For more details, see Setion 3.2 of Bonett (2021, Volume 5).

Usage

meta.lc.agree(alpha, f11, f12, f21, f22, v)

Arguments

alpha

alpha level for 1-alpha confidence

f11

vector of frequency counts in cell 1,1

f12

vector of frequency counts in cell 1,2

f21

vector of frequency counts in cell 2,1

f22

vector of frequency counts in cell 2,2

v

vector of contrast coefficients

Value

Returns 1-row matrix with the following columns:

  • Estimate - estimated linear contrast

  • SE - standard error

  • LL - lower limit of the adjusted Wald confidence interval

  • UL - upper limit of the adjusted Wald confidence interval

References

Bonett DG (2022). “Statistical inference for G-indices of agreement.” Journal of Educational and Behavioral Statistics, 47(4), 438–458. doi:10.3102/10769986221088561 .

Bonett DG (2021). Statistical Methods for Psychologists, Vol 1-5, https://dgbonett.sites.ucsc.edu/.

Examples

f11 <- c(43, 56, 49)
f12 <- c(7, 2, 9)
f21 <- c(3, 5, 5)
f22 <- c(37, 54, 39)
v <- c(.5, .5, -1)
meta.lc.agree(.05, f11, f12, f21, f22, v)
#>          Estimate      SE     LL     UL
#> Contrast   0.1023 0.07972 -0.054 0.2585

# Should return:
#          Estimate      SE      L     UL
# Contrast   0.1023 0.07972 -0.054 0.2585