In order to determine whether the researcher`s conclusion is valid or not, we begin by asking whether the researcher provided complete information on the CCI form (Figure 3, Question 1). As can be seen from the case description, the researcher used for his ICC calculation a model of single effects, absolute agreements, mixed two-way effects, which is one of the 10 ICC forms in Table 3. As the answer to the first question is “yes”, we ask if the researcher chose the correct CCI form for this study (question 2). Based on Figure 1, we conclude that the two-way mixed effects model, with a single measure, absolute consistency, and two-way mixed effects, is the model of choice for the reliability study for tests and repeat tests, and we can therefore interpret the level of reliability based on the 95% confidence interval reported by the CCI estimate, which is “moderate” to “good”. We therefore conclude that the researcher`s conclusion is valid. For 2-way random-way and 2-way models, there are two ICC definitions: “absolute consistency” and “consistency”. The choice of the CCI definition depends on whether we consider that absolute consistency or consistency between evaluators is more important. B absolute correspondence), cci estimates are identical between two-way models and mixed effects, as they use the same formula for the calculation of the CCI (Table 3). It is an important fact that the difference between two-way random models and mixed effect models lies not in the calculation, but in the experimental design of the reliability study and in the interpretation of the results. For two-way mixed effects models, there are two ICC definitions: “absolute consistency” and “consistency”. The choice of icc definition depends on whether we think absolute consistency among advisors is more important.
Cicchetti (1994) draws attention to the following interpretative guidelines, often cited, for Cape Town or LCC interparliamentary agreements: ACCEPTANCE, contracts. An agreement to get something that was offered. 2. For the conclusion of the contract, the reception must be absolute and re-professional, 10 choices must be made. 826; A selection. 278; and the party making the offer at the time and place of the date. While there are important reliability measures, such as Dahlberg errors or Kappa statistics, ICC seems to be the most useful. CCI is a measure of reliability that we can use to assess either consistency or absolute compliance. CCI is defined as the ratio of variability between subjects to overall variability, including subject variability and error variability. In addition, CCI`s estimate, taken from an insurance study, is only an expected value of the true CCI. It makes sense to determine the degree of reliability (i.e.
poor, moderate, good and excellent) by testing whether the ICC value obtained significantly exceeds the values proposed above, with statistical inference. This type of analysis can be easily implemented with SPSS or any other statistical software. As part of the insurance analysis, SPSS calculates not only an ICC value, but also its 95% confidence interval. Table 4 shows an example of an analysis of the reliability of SPSS. In this hypothetical example, the CCI obtained was calculated by a single score, an absolute agreement, a 2-way random effects model with 3 evaluators of more than 30 subjects. Although the ICC value obtained is 0.932 (which testifies to excellent reliability), its 95% confidence interval is between 0.879 and 0.965, which means that there is a 95% chance that the ICC value will be found on any point between 0.879 and 0.965. Therefore, based on statistical conclusions, it would be more appropriate to consider the level of reliability as “good” to “excellent”. Cicchetti (1994) presents the following guidelines for the interpretation of C KAPPA or ICC Inter Rater tuning measures: reliability is defined as the degree to which a measurement technique can achieve consistent results when measured repeatedly on the same objects, either by several evaluators or by an observer at different times. . .