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The National Citizen SurveyT" <br />Figure 1: Location of Survey Recipients <br />81st -M. NW— <br />\ <br />I O <br />Y <br />I I <br />C <br />� _ 0 <br />k <br />I ay[ona <br />",If Club <br />• � a <br />�� • • 16 `r <br />' . ! Tv <br />[IM <br />IM I, Ln N <br />Kel—, <br />R_'a <br />Like P", <br />ftrr rind <br />Iu F. <br />a s is <br />TTT iles <br />Survey Recipients in Ramsey, MN <br />• Survey Recipients lf <br />Survey Administration and Response <br />Selected households received three mailings, oneweek apart, beginning in August 2014. The first mailing was a <br />prenotification postcard announcing the upcoming survey. The next mailing contained a letter from the Mayor <br />inviting the household to participate, a questionnaire and a postage -paid return envelope. The final mailing <br />contained a reminder letter, another survey and a postage -paid return envelope. The second cover letter asked <br />those who had not completed the survey to do so and those who had already done so to refrain from turning in <br />another survey. Completed surveys were collected over the following six weeks. <br />About 2% of the 1,200 surveys mailed were returned becausethe housing unit was vacant or the postal servicewas <br />unable to deliver the survey as addressed. Of the remaining 1,174 households that received the survey, 430 <br />completed the survey, providing an overall response rate of 37 %; average response rates for a mailed resident <br />survey range from 25% to 40 %. <br />Gonillaence i ntervalls <br />It is customary to describe the precision of estimates made from surveys by a "leve] of confidence" and <br />accompanying "confidence interval" (or margin of error). A traditional level of confidence, and the one used here, <br />is 95 %. The 95% confidence interval can be any size and quantifies the sampling error or imprecision of the survey <br />results because some residents' opinions are relied onto estimate all residents' opinions.' <br />'A 95% confidence interval indicates that for every 100 random samples of this many residents, 95 of the confidence intervals created will <br />include the "true" population response. This theory is applied in practice to mean that the "true" perspective of the target population lies <br />30 <br />Or <br />r <br />1 P <br />w r,�.♦ <br />r� <br />% <br />Iva <br />[IM <br />IM I, Ln N <br />Kel—, <br />R_'a <br />Like P", <br />ftrr rind <br />Iu F. <br />a s is <br />TTT iles <br />Survey Recipients in Ramsey, MN <br />• Survey Recipients lf <br />Survey Administration and Response <br />Selected households received three mailings, oneweek apart, beginning in August 2014. The first mailing was a <br />prenotification postcard announcing the upcoming survey. The next mailing contained a letter from the Mayor <br />inviting the household to participate, a questionnaire and a postage -paid return envelope. The final mailing <br />contained a reminder letter, another survey and a postage -paid return envelope. The second cover letter asked <br />those who had not completed the survey to do so and those who had already done so to refrain from turning in <br />another survey. Completed surveys were collected over the following six weeks. <br />About 2% of the 1,200 surveys mailed were returned becausethe housing unit was vacant or the postal servicewas <br />unable to deliver the survey as addressed. Of the remaining 1,174 households that received the survey, 430 <br />completed the survey, providing an overall response rate of 37 %; average response rates for a mailed resident <br />survey range from 25% to 40 %. <br />Gonillaence i ntervalls <br />It is customary to describe the precision of estimates made from surveys by a "leve] of confidence" and <br />accompanying "confidence interval" (or margin of error). A traditional level of confidence, and the one used here, <br />is 95 %. The 95% confidence interval can be any size and quantifies the sampling error or imprecision of the survey <br />results because some residents' opinions are relied onto estimate all residents' opinions.' <br />'A 95% confidence interval indicates that for every 100 random samples of this many residents, 95 of the confidence intervals created will <br />include the "true" population response. This theory is applied in practice to mean that the "true" perspective of the target population lies <br />30 <br />