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Analysis of Com�unity Survey <br />In October, 198Q the Multi Service Citizen Survey was conducted by <br />Mid-Continent Surveys, Inc. far the City of Rosev�Zle. The survey <br />was made up of questions concerning citizen's opinion of various <br />services and facilities provided by the City. Survey questions were <br />based on topics se7ected by the Council. Question structure was a <br />caoperative effort be�ween Mid-Continent and City staff. <br />Scietific random sampling techn�ques were used to insure that thase <br />interviewed would be representative of the popula�ion of Roseville as <br />a whole. Four hundred and eighteen households were interviewed by <br />Mid Continent's p�ofessional interviewers. Inierviews were persona�, <br />takin� place in the respandent's home. <br />Compieted qu�stionnaires were verified on a sample basis by M�d-Continent <br />through calls to respondents, Questionnaires were then coded, key- <br />punched and computer tabulated. Summary findings and data tab�es were <br />tnen prov�ded to the City by Mid-Continent. <br />In general, the survey results indicated that Roseville residents are <br />satisfied with the services provided. Ratings of services were pre- <br />dominate7y good or excellent throughout. These results have two broad <br />implicatians for anaTysis of the survey. <br />The first is that it should not be automatically assumed thai results <br />of this type are comnon. A comparison with o�her cities that have <br />conducted sim�lar surveys reveals tha� surveys of this type do, in fact, <br />il7icit overa�l and sp�cific responses that are far less favorabie. <br />For example, a recent survey in St. Petersburg, Florida, indicated <br />that 45% of citizens surveyed felt they wou7d have a say about the way <br />the City is run. Rosev�7le's response �ndicated 66% feit �hey cou7d <br />hav� a say. <br />The second implication is that it is difficult to analyze a survey that <br />is basically pos�tive. For example, is it significant that one neighbor- <br />hood or group of people rated a service "poor" 12% of the tim� when the <br />average "poor" rating was 6%. On the one hand you �ave doubied the "poor" <br />rating, but on the other an 88% "good" or "excellent" rating is not very <br />�ifferent than a 94°6 "good" or "excel7ent" ra�ing. <br />With the above in mind, an analysis of the data was conducted by each <br />department focusing on the informatior� provided cancerning that depart- <br />ment. Following is a sumnary of th�s anaZysis. Discussed are only <br />those areas which were judged significant by the departments and about <br />which certain conclusions could be drawn regarding passib7e changes in <br />programs or policies. <br />POLICE <br />In general the data supplied to Police Department would seem to be <br />operational7y valuable. Used in cambina�ion with data from other saurces <br />it will be possible to set certain objectives in terms of t�e dep7oyment <br />of personnei and the focusing of ciiizen oriented programs. <br />