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You can use Kendall's tau for two raters or Kendall's W for more than two raters. Due to its intuitive appeal, I will include the formula for the tau coefficient below. Pairs of observations are said ...

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No chance-adjusted index of agreement is going to give you a high score: Bennett et al.'s $S = 0.222$ Cohen's $\kappa = 0.267$ Gwet's $\gamma = 0.316$ Krippendorff's $\alpha = 0.211$ Scott's $\pi ... View answer 1 answers 0 votes 2k views 1 votes Kramer (1980) proposed a method for assessing inter-rater reliability for tasks in which raters could select multiple categories for each object of measurement. The intuition behind this method is to ... View answer 1 answers 1 votes 2k views 3 votes Kramer (1980) proposed a method for assessing inter-rater reliability for tasks in which raters could select multiple categories for each object of measurement. The intuition behind this method is to ... View answer 1 answers 8 votes 8k views 8 votes For four categories, the following linear and quadratic weights would be used. These tables can be read by indexing one rater by row and the other rater by column. For instance, raters would earn 0.33 ... View answer 1 answers 9 votes 3k views 7 votes The model you referenced in your question is called the "one-way model." It assumes that random row effects are the only systematic source of variance. In the case of inter-rater reliability, rows ... View answer 1 answers 0 votes 2k views 1 votes The intraclass correlation coefficient (ICC) works by partitioning the rating variance into multiple components, e.g., variance associated with items, variance associated with raters, and variance ... View answer 1 answers 4 votes 2k views Accepted answer 3 votes I would argue that Cohen's kappa and Gwet's gamma are both problematic approaches to the estimation of inter-rater reliability. Both make a number of assumptions about the behavior of raters that are ... View answer 1 answers 0 votes 288 views 1 votes The original kappa formula (and that used by SPSS) converts the data into a$q$-by-$q$confusion matrix (item counts in a category-by-category matrix). This formula required exactly two raters. Later "... View answer 1 answers 0 votes 74 views 1 votes It depends on what your question is. If you want to know if these sum scores are consistent over time (within each participant), you would need participants to fill out the questions multiple times; ... View answer 1 answers 1 votes 95 views 1 votes It's not clear what ev1 and ev2 are in your example or how this constitutes inter-method reliability. I'm also not sure what you are trying to calculate the reliability of. Let's assume you have each ... View answer 1 answers 1 votes 56 views 1 votes Format the data into a matrix such that each row corresponds to a single test and each column corresponds to a single teacher. You can then calculate the intraclass correlation coefficient (ICC). If ... View answer 1 answers 0 votes 115 views 1 votes It's not clear who or what you are quoting, but it seems that they want estimates of what are often referred to as "inter-rater reliability" and "intra-rater reliability." Inter-rater reliability ... View answer 1 answers 1 votes 224 views 1 votes You can of course report both intra-rater and inter-rater reliability. Which one is more important in a given study depends on what point you are trying to make and what threat to measurement validity ... View answer 1 answers 3 votes 2k views Accepted answer 3 votes The extended formula (for multiple categories and raters) for observed agreement is as follows: $$A = \frac{1}{n'}\sum_{i=1}^{n'}\sum_{k=1}^{q}\frac{r_{ik}(r_{ik-1})}{r_i(r_i-1)}$$ where$n'\$ is the ...