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For those gestures that both coders considered codable (98% of gestures analyzed), agreement as to whether a stroke was simple or complex was 95% (N = 145, PABAK = 0.90).
For those factor reference, factor change, and causal relation gestures that both coders judged to be codable (85% of gestures analyzed), agreement as to whether the gestures were model-integrated or not was 91% (N = 95, PABAK = 0.81).
Some strokes were unclear with respect to complexity; for those gestures that both coders considered codable (97% of gestures analyzed), agreement as to whether the stroke was simple or complex was 96% (N = 137, PABAK = 0.91).2.
Next, we analyzed agreement on classification across the indication categories.
Within each time period, we analyzed agreement between self-reported criminal justice system involvement and criminal justice records.
To evaluate stability of social hierarchy in these groups of mice, we analyzed agreement of ratings at different time points using Kappa statistics.
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Svensson's method for analyzing agreement in paired ordinal data was used to study test-retest reliability (hypothesis: no change in the dialysis group) and responsiveness (hypothesis: a positive change, improvement, in the cardiac rehabilitation group).
To analyze agreement among methods, the four-weekly measurements of each child were averaged over the total follow-up to produce a summary adherence measure.
The statistical method used to analyze agreement could be a factor with potential influence on the results.
Kappa coefficients were estimated to analyze agreement between adolescents and proxy-respondents, and logistic regression models were adjusted to analyze factors associated with missing answers and disagreements.
When analyzing agreement in ordered contingency table, we can usually expect an association between ratings due to the natural ordering of the scale.
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