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Unfortunately, the general problems with vocabulary and intervals between the quality scale labels remain unsolved with these methods [16].
A similar problem applies to the intervals between the quality scale labels (i.e., distance between 'good' and 'fair' is supposed to be equal to the one between 'poor' and 'bad'bad
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The distribution of the quality scale scores was bimodal.
While the p-values for the Pearson correlation coefficient are restricted to the null hypothesis of zero correlation, not to the strength of the correlation, the magnitude of the correlations between the Sleep Quality Scale and the MOS Sleep Scale provides some insights into the specific components of sleep that these patients considered when evaluating the overall quality of their sleep.
Correlations between the Sleep Quality Scale and the MOS Sleep subscales were statistically significant (p < 0.01), except for the MOS Snoring subscale.
Methodological quality was assessed using the Oxford Quality Scale [31].
Further, the Sleep Quality scale was responsive to treatment effects.
The subjects are asked to grade the different signals on a quality scale between 0 and 100, 100 being the best score.
Each item was graded with a value between 0 and 2. This quality scale evaluated several dimensions of the methodology, grouped into four main categories: the scientific design, the generalization of the results, the analysis of the study data, and the PET reports.
Consequently it was not possible to assess study quality using the Newcastle Ottawa Scale or any other quality scale.
Assessment of bias is built into the quality scoring scale.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com