Perform an intercoder reliability test — test

Performs an intercoder reliability test by computing various intercoder reliability estimates for the included variables

test_icr(
  data,
  unit_var,
  coder_var,
  ...,
  levels = NULL,
  na.omit = FALSE,
  agreement = TRUE,
  holsti = TRUE,
  kripp_alpha = TRUE,
  cohens_kappa = FALSE,
  fleiss_kappa = FALSE,
  brennan_prediger = FALSE,
  lotus = FALSE,
  s_lotus = FALSE
)

Arguments

data	a tibble
unit_var	Variable with unit identifiers
coder_var	Variable with coder identifiers
...	Variables to compute intercoder reliability estimates for. Leave empty to compute for all variables (excluding `unit_var` and `coder_var``) in data.
levels	Optional named vector with levels of test variables
na.omit	Logical indicating whether `NA` values should be stripped before computation. Defaults to `FALSE`.
agreement	Logical indicating whether simple percent agreement should be computed. Defaults to `TRUE`.
holsti	Logical indicating whether Holsti's reliability estimate (mean pairwise agreement) should be computed. Defaults to `TRUE`.
kripp_alpha	Logical indicating whether Krippendorff's Alpha should be computed. Defaults to `TRUE`.
cohens_kappa	Logical indicating whether Cohen's Kappa should be computed. Defaults to `FALSE`.
fleiss_kappa	Logical indicating whether Fleiss' Kappa should be computed. Defaults to `FALSE`.
brennan_prediger	Logical indicating whether Brennan & Prediger's Kappa should be computed (extension to 3+ coders as proposed by von Eye (2006)). Defaults to `FALSE`.
lotus	Logical indicating whether Fretwurst's Lotus should be computed. Defaults to `FALSE`
s_lotus	Logical indicating whether Fretwurst's standardized Lotus (S-Lotus) should be computed. Defaults to `FALSE`.

Value

a tibble

References

Brennan, R. L., & Prediger, D. J. (1981). Coefficient Kappa: Some uses, misuses, and alternatives. Educational and Psychological Measurement, 41(3), 687-699. https://doi.org/10.1177/001316448104100307

Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37-46. https://doi.org/10.1177/001316446002000104

Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378-382. https://doi.org/10.1037/h0031619

Fretwurst, B. (2015). Reliabilität und Validität von Inhaltsanalysen. Mit Erläuterungen zur Berechnung des Reliabilitätskoeffizienten „Lotus“ mit SPSS. In W. Wirth, K. Sommer, M. Wettstein, & J. Matthes (Ed.), Qualitätskriterien in der Inhaltsanalyse (S. 176–203). Herbert von Halem.

Krippendorff, K. (2011). Computing Krippendorff's Alpha-Reliability. Retrieved from http://repository.upenn.edu/asc_papers/43

von Eye, A. (2006). An Alternative to Cohen's Kappa. European Psychologist, 11(1), 12-24. https://doi.org/10.1027/1016-9040.11.1.12

Examples

fbposts %>% test_icr(post_id, coder_id, pop_elite, pop_othering)
#> # A tibble: 2 x 8
#>   Variable     n_Units n_Coders n_Categories Level   Agreement Holstis_CR
#>   <chr>          <int>    <int>        <int> <chr>       <dbl>      <dbl>
#> 1 pop_elite         45        6            6 nominal     0.733      0.861
#> 2 pop_othering      45        6            4 nominal     0.867      0.945
#> # ... with 1 more variable: Krippendorffs_Alpha <dbl>
fbposts %>% test_icr(post_id, coder_id, levels = c(n_pictures = "ordinal"), fleiss_kappa = TRUE)
#> # A tibble: 5 x 9
#>   Variable     n_Units n_Coders n_Categories Level   Agreement Holstis_CR
#>   <chr>          <int>    <int>        <int> <chr>       <dbl>      <dbl>
#> 1 type              45        6            4 nominal     1          1    
#> 2 n_pictures        45        6            7 ordinal     0.822      0.930
#> 3 pop_elite         45        6            6 nominal     0.733      0.861
#> 4 pop_people        45        6            2 nominal     0.778      0.916
#> 5 pop_othering      45        6            4 nominal     0.867      0.945
#> # ... with 2 more variables: Krippendorffs_Alpha <dbl>, Fleiss_Kappa <dbl>