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2011-01-04_PR_Packet
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2011-01-04_PR_Packet
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2/15/2012 1:34:39 PM
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12/21/2011 10:07:43 AM
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Roseville Parks and Re(:re ation Survey <br /> ................. <br /> ResporWerit corif lderffiolity <br /> All responses are held in the strictest confidence. Respondent names are never associated with the <br /> answers provided on the survey. Only first names are captured for possible verification by a <br /> supervisor (with 10% or fewer actually being called back). All responses are kept in the database by <br /> a unique numeric identifier only. <br /> St,irve,y processirig <br /> Use of a CATI system means that all collected data are entered into the dataset at the time of the <br /> interview. Skip patterns are programmed into CATI so interviewers are automatically"skipped"to <br /> the appropriate question based on the individual responses being given. Before the data are <br /> analyzed, an in-depth cleaning of the data is conducted as part of the standard quality control <br /> procedures. <br /> Weigh-fing -the Da-ta (Mailed and Telephone SUrveys) <br /> The last step in preparing the data will be to weight the data to reflect the demographic profile of <br /> the community in general or the voter population. Weighting is an important method to adjust for <br /> potential non-response bias. In general, residents with certain characteristics (for example: those <br /> who are younger or rent their homes) are less likely to participate in surveying, whatever the data <br /> collection mode. Weighting allows us to look at the demographic profile of residents who returned <br /> the survey compared with the entire voter list or the US Census profile. We consider these <br /> disparities along with others and accordingly increase or decrease the weight of each respondent to <br /> mimic as closely as possible the population demographics. The weighting variables to be considered <br /> will be all those demographics included on the survey, as well as the geographic variable used for <br /> sampling. NRC has extensive experience with complex weighting schemes required with <br /> stratification. <br /> Task 5.,, Analyzing and Report-Ing the Survey Results <br /> It is paramount that the result of this study be more than a nice looking report that sits on a shelf, <br /> and as such we will work with RPR to ensure that we ask the right questions to feed into an <br /> actionable analysis plan. <br /> For quantitative analysis, we rely on the Statistical Package for the Social Sciences (SPSS). We <br /> believe that analysis must be replicable and leave a clear path. To this end, we keep every label and <br /> command run in SPSS in a syntax file available for audit and re-running, as necessary. We also have <br /> trained clients on SPSS analysis and, for small recurring analyses, how to use Microsoft*' Excel. <br /> We will code any open-ended responses using both an emergent approach, where themes are <br /> revealed through the analysis, combined with a deductive approach, where a scheme or codes are <br /> predetermined and applied to the data. Techniques include word counts, content analysis, <br /> comparative analysis, componential analysis and taxonomic analysis, among others and codes are <br /> applied based on the unit of analysis. Our qualitative analysis of verbatim responses will be done <br /> using Microsoft*' Access, Microsoft® Excel or QSR qualitative software, depending on the types <br /> and complexity of the open-ended questions. <br /> Page 1.2, <br />
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