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Computes the estimate and standard error for a G-index of agreement

Source: R/meta_se.R
se.agree.Rd

Computes an adjusted G-index of agreement for two raters using the number of objects rated in agreement, the sample size (number of objects), and the number of rating categories. The adjustment for the G-index and its standard error is optimized for the the number of planned studies in the meta-analysis. The G-index and standard error output from this function can be used as input in the meta.ave.gen, meta.lc.gen, and meta.lm.gen functions. The G-index is usually preferred to Cohen's kappa.

Usage

se.agree(f, n, k, m)

Arguments

f

number of objects rated in agreement

n

sample size (number of objects)

k

number of rating categories

m

number of studies in planned meta-analysis

Value

Returns a one-row matrix:

  • MLE - maximum likelihood estimate of G-index

  • Estimate - adjusted estimate of G-index

  • SE - standard error of adjusted estimate

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 .

Examples

se.agree(42, 50, 3, 4)
#>            MLE Estimate         SE
#> G-index:  0.76     0.75 0.06391375

# Should return: 
#             MLE  Estimate         SE
# G-index:   0.76      0.75 0.06391375