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City of Louisville Employee Survey <br /> July 2008 <br /> Report of Results <br /> Survey Background <br /> Survey Purpose <br /> The City of Louisville,Colorado contracted with National Research Center,Inc. (NRC) to conduct a <br /> city-wide employee survey.Employees were asked questions about their job satisfaction,work <br /> environment, compensation, supervisory relationships,organizational climate and communication. <br /> This was the first survey of Louisville employees.The results can be used by the City to better <br /> understand employee experiences, address employee concerns and monitor perspectives over time. <br /> Methods <br /> City of Louisville employees were mailed a postcard in the beginning of May 2008,inviting them to <br /> complete a Web-based survey. Employees with email addresses also received one invitation via email <br /> with a link to the survey one week after the postcard was mailed.Two email reminder messages with <br /> the survey link were sent to employees in the following two weeks.Data collection continued <br /> through mid June. Of the 144 employees receiving an invitation to complete the survey,a total of <br /> 112 employees returned completed surveys,providing a response rate of 78%. <br /> "Don't Know" Responses and Rounding <br /> On many of the questions in the survey,respondents could answer,"don't know."The proportion <br /> of respondents giving this reply is shown in the full set of responses included in Appendix B:Complete <br /> Set of Frequencies. However, these responses have been removed from the analyses presented in the <br /> body of the report.In other words,the tables and graphs display the responses from respondents <br /> who had an opinion about a specific item.Appendix A:Results Tables shows all frequencies to survey <br /> questions presented in the body of the report and do not include the"don't know"responses. <br /> When a table for a question that only permitted a single response does not total to exactly 100%,it is <br /> due to percentages being rounded to the nearest whole number. <br /> Confidence Intervals <br /> The 95%confidence interval (or margin of error) quantifies the sampling error or precision of the <br /> estimates made from the survey results.The 95%confidence level for the survey is generally no <br /> greater than plus or minus two percentage points around any given percent reported for the entire <br /> sample (112 completed surveys). Other types of error such as non-response error (those who did <br /> not respond to the survey may have felt differently about the issues covered than those who did <br /> respond) is a source of potential bias in survey research.Multiple contacts were made with those <br /> selected for the survey to help address non-response errors. <br /> Putting Evaluations onto a 100-point Scale <br /> Responses to all evaluative questions were made on a four-point agreement scale(strongly agree, z <br /> somewhat agree, somewhat disagree, strongly disagree). Items were worded such that"strongly a <br /> agree"was the most positive response. 0 <br /> z <br /> 00 <br /> N <br /> DRAFT Report of Results <br /> 3 <br />