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The measurement model had a good internal reliability (Table 3).
However, overall there was an acceptable level of inter-rater reliability (Table 2).
A quality level index is introduced to evaluate data reliability (Table 1).
The TPAA method achieved higher ICC for both intra- and inter-rater reliability (Table 5).
The internal consistency of the model was assessed by calculating the Cronbach α and composite reliability (Table 1).
A correlation coefficient was established for each variable at each time point to determine the degree of reliability (Table 3).
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Trait prevalence here was calculated based on the number of positive cases, as judged by both raters, then calculated as a percentage of the total number of cases, and inter-rater reliability (Tables 3, 4 and 5).
The findings obtained from the three samples during Phase I and II testing are presented in aggregated form that presents findings organized around the test's properties regarding means and reliability (Tables 1, 2, 3), and then reports on evidence of validity.
For the total MEONF-II scores ICC values were above 0.80 for both inter- and intrarater reliabilities (Table 3).
∓ Reliabilities within daily gain and feed conversion ratio with different superscripts are significantly different (P < 0.05) Reliabilities for daily gain and feed conversion ratio are not comparable The three statistical methods, GBLUP, Bayesian Lasso and MIXTURE did not yield different reliabilities (Table 1).
The examination of split-half reliabilities (Table 3) as upper limits to the correlations between test parts revealed generally high reliabilities (above.81 for at least one measure per test part) for the Dutch participants, but much lower levels for the Korean group (above.67).67
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