Selected article for: "confidence interval and Sample size"

Author: Zhiyuan Hou; Leesa Lin; Liang Lu; Fanxing Du; Mengcen Qian; Yuxia Liang; Juanjuan Zhang; Hongjie Yu
Title: Public Exposure to Live Animals, Behavioural Change, and Support in Containment Measures in response to COVID-19 Outbreak: a population-based cross sectional survey in China
  • Document date: 2020_2_23
  • ID: aoyyk5fl_30
    Snippet: The sample size (n=500 for each city) is sufficient to estimate the change of outcomes (p=0.5) with a margin of error of 0.05 and a 95% confidence interval, according to previous studies. [15] [16] Our target population was persons aged 18 or over who had been living in the selected city for at least 6 months in the year prior to the survey and were current residents at the time of the survey. In each city, the telephone survey was conducted thro.....
    Document: The sample size (n=500 for each city) is sufficient to estimate the change of outcomes (p=0.5) with a margin of error of 0.05 and a 95% confidence interval, according to previous studies. [15] [16] Our target population was persons aged 18 or over who had been living in the selected city for at least 6 months in the year prior to the survey and were current residents at the time of the survey. In each city, the telephone survey was conducted through a computer-assisted interviewing system, which enabled the random generation of mobile phone numbers and systematic data collection. We attempted to contact each generated number three times a day at different hours; if no contact was established after the third call, this number was classified as invalid or unreachable. Random dials with proportional quota sampling were used to ensure that respondents were demographically representative of the general population in each city, with quotas based on sex and age. 19

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