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We calculated Cohen's kappa with 95% confidence intervals (CI), using the following interpretation categories: poor kappa agreement, <0.2; fair, 0.21 – 0.40; moderate, 0.41-0.60; good, 0.61-0.80; and very good, 0.81-1.00 [ 12].
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We used the following interpretation of the Kappa values: < 0.2 = slight, 0.2 0.4 = fair, 0.4 0.6 = moderate, 0.6 0.8 = substantial and > 0.8 = almost perfect [ 37].
Statistical heterogeneity will also be quantified with the I 2 test, using the following guidelines for the interpretation of the I 2 values: 40 0–40%: might not be important; 30 60%: may represent moderate heterogeneity; 50 90%: may represent substantial heterogeneity and 75 100%: considerable heterogeneity.
using the following parameters.
This was achieved using the following procedure.
Avoid using the following for research.
Inter-observer agreement beyond chance for the main classification categories was assessed using the unweighted kappa statistic with the following interpretation: poor <0.40; fair 0.40 <0.55; good 0.55 <0.70; very good 0.70 <0.85; and excellent ≥0.85 [ 63].
The following interpretation was used for effect size: 0 = no effect; 0.2 = small effect; 0.4 = moderate effect; 0.8 + = large effect [ 54].
The following interpretation of agreement was used for the kappa values: low (0 0.5), moderate (0.51-0.75) and excellent (0.76-1.0) following established guidelines [ 23].
These quality scores have the following interpretation: 0 to 25: Unacceptable - the biometric data cannot be used for the purpose specified by the application (bioapi_purpose).
For the following interpretation of the OX and NOX correlation, only the data measured between 5 00 and 8 00 h have been used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com