Sentence examples for respondents were calculated from inspiring English sources

Mean of scores from CREs and MSF respondents were calculated.

Prevalence rates of tuberculosis per 100,000 usual residents in the household and per 1,000 respondents were calculated.

Frequencies based on the number of completed questions (some questions were not completed by all respondents) were calculated for all categorical data.

Finally, the heterogeneity-adjusted population level tariff was calculated in the following way: The average values across all respondents were calculated, by taking the mean of the sets of preference class estimates, weighted by the average mixing coefficients across the sample.

The number of additional respondents was calculated as the number of incentive group respondents who responded before the reminder (558), subtracted by the control group respondents who responded before the reminder (443), which gave 115 additional respondents.

Cronbach's alpha based on 141 respondents was calculated as 0.87, indicating high average item inter-correlation (good internal consistency).

A sample size of 2400 respondents was calculated using Epiinfo based on the total population of the catchment areas of 11 facilities selected from the 42 audited ones.

The minimum sample size of 385 respondents was calculated based on unknown prevalence of smoking (50% assumed for conservative sample size estimates), absolute precision 5%, incomplete questionnaires, and 95% confidence limits (33).

Likert scores for each item, per participant, were allocated into categories of importance (low: 0 to 4; moderate: 5 to 6; high: 7 to 8 and very high: > 8) and per cent agreement (frequency of respondents) was calculated for each category.

Once the structure was confirmed, the mean scores of safety factors of each respondent were calculated both in Likert-scale and 0 100 point scale to see the percentage of respondents having positive attitudes toward each safety dimension (≥ 75), equivalent to 4 5 points on the Likert-scale, using the formula: Mean score of a respondent = (mean of the factor items-1) × 25 [ 8].

The mean scores for each respondent was calculated.