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Pearson correlation coefficients between subdomains of the instruments were calculated.
Differences between instruments were calculated as the averages of the individual samples.
Barriers and facilitators for the implementation of guideline recommendations and measurement instruments were calculated using descriptive statistics.
Means and standard deviations on the total scores (continuous variables) obtained in the administration of the respective measurement instruments were calculated.
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The proportion of respondents who provided enough information for the calculation of a health utility score for each of the different instruments was calculated and compared by means of the Marascuilo Procedure [ 33, 34].
The reliability of the measuring instruments was calculated by cronbach's alpha coefficient.
The correlation between scores from different instruments was calculated for patients and for caregivers, and the correlation between scores from patients and caregivers was calculated for different instruments.
Internal consistency of all the instruments was calculated, using the Cronbach-Alpha Coefficient, and then frequencies, means and standard deviations were calculated.
The mean of two IOP readings, taken with each of the two instruments, was calculated for each participant and was used in the analyses.
Based on the test results, the risk of transmission of MRSA by the instruments was calculated and the risk of transmission of hepatitis B virus was estimated.
The total sample was therefore divided into quartiles based on mean TFI obtained with the 7-day fluid diary, and the mean difference in TFI recorded with the two instruments was calculated per quartile.
More suggestions(12)
instruments were calibrated
devices were calculated
mechanisms were calculated
instruments were evaluated
mechanism were calculated
meter were calculated
instrument were calculated
instruments were computed
means were calculated
instruments was calculated
instruments have been formulated
instruments were identified
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