Jacob Cohen thought it would be much more appropriate if we could have a level of concordance, where zero always meant the measure of the agreement expected by chance, and 1 always meant a perfect match. This can be achieved by the following sum: an analysis of the IRR was conducted to assess the extent to which coders systematically attributed categorical assessments of depression to the subjects in the study. Marginal distributions of depression assessments did not highlight prevalence or bias problems, suggesting that Cohen`s Kappa (1960) was an appropriate index of IRR (Di Eugenis-Glass, 2004). Kappa was calculated for each pair of coders, which was then calculated to provide a single IRR index (Light, 1971). The resulting Kappa indicated a significant agreement, n- 0.68 (Landis-Koch, 1977), and was consistent with previously published IRR estimates from the coding of similar constructions in previous studies. The flawless analysis showed that coders had a significant match in depression assessments, although the interest rate variable had a slight error differential due to differentiated subjective assessments of coders, which slightly reduced statistical performance for subsequent analyses, although the evaluations were deemed appropriate to be used in the hypothesis tests of the present study. Second, the researcher must indicate whether a good error should be characterized by absolute agreement or absolute consistency in the ratings. While it is important for advisors to provide partitions similar to absolute value, absolute match should be used, while if the spleens provide similar points in the ranking, consistency should be used. For example, consider a coder that typically provides low notes (z.B 1-5 on an 8-point Likert scale) and another coder that typically provides high grades (for example. B 4-8 on the same scale). Absolute approval of these ratings would be expected to be low, given that there were large differences in actual rating values; However, it is possible that the consistency of these ratings would be high if the rankings of these ratings were similar between the two coders. The most important result here is %-agree, i.e. Your agreement as a percentage.