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            <resTitle>OSMP Master Plan Survey 2019 Data</resTitle>
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        <searchKeys>
            <keyword>OSMP</keyword>
            <keyword>Master Plan</keyword>
            <keyword>2019</keyword>
            <keyword>City of Bouder</keyword>
            <keyword>Open Data</keyword>
            <keyword>survey</keyword>
            <keyword>questionnaire</keyword>
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        <idPurp>Responses to surveys used in development of the City Boulder's Open Space and Mountain Parks Master Plan (2019)</idPurp>
        <idAbs>&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;To interpret these datasets, it is essential that you have a copy of the hand-annotated survey instrument, &lt;span style='box-sizing:border-box; font-weight:bolder;'&gt;&amp;quot;Boulder OSMP Codebook Version A.pdf,&amp;quot;&lt;/span&gt; along with all three of the following csv files described below. In addition, these datasets were released in coordination with a detailed report describing the survey results, which will be helpful in providing more context. &lt;a href='https://bouldercolorado.gov/osmp/osmp-master-plan' rel='nofollow ugc' target='_blank'&gt;The report can be found on the City of Boulder Open Space and Mountain Parks (OSMP) website&lt;/a&gt;. Note, open ended comments have been removed from this dataset, consistent with the Open Data Policy.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;&lt;span style='box-sizing:border-box; font-weight:bolder;'&gt;OSMP Master Plan Survey Data&lt;/span&gt; (This file): Contains the data (survey responses) for three different surveys: (1) that from the &amp;quot;Scientific Survey,&amp;quot; in which a random sample of households were invited to participate, (2) that from an &amp;quot;Open Participation (Opt-In) Survey,&amp;quot; an online survey to which all residents were invited, and (3) that from a special effort made to reach Boulder’s Latino population through the promotoras network to invite them to participate (Promotoras). The data field &amp;quot;type&amp;quot; corresponds to the survey type. The files listed below contain supporting information that is necessary to interpret the dataset.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;&lt;a href='https://webappsprod.bouldercolorado.gov/opendata/OSMP%20MP%20Survey%202019%20survey%20question%20labels.csv' rel='nofollow ugc' style='font-family:&amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, Helvetica, Arial, sans-serif; font-size:15px;' target='_blank'&gt;OSMP Master Plan Survey - Survey Question Labels&lt;/a&gt; This file list the variable names found in the previous csv, and then gives a few words describing what the variable means, with reference to the survey. You will need to refer to &amp;quot;Boulder OSMP Codebook Version A.pdf&amp;quot; for the full name of the survey question being referenced.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;&lt;a href='https://webappsprod.bouldercolorado.gov/opendata/OSMP%20MP%20Survey%202019%20response%20option%20labels.csv?' rel='nofollow ugc' style='font-family:&amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, Helvetica, Arial, sans-serif; font-size:15px;' target='_blank'&gt;OSMP Master Plan Survey - Survey Response Option Labels&lt;/a&gt; For each variable, the numeric values that are possible, and their associated labels.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;VERY IMPORTANT NOTE: The scientific survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Boulder from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more &amp;quot;weight&amp;quot; and some records were given less weight. The weights that were applied are found in the field &amp;quot;wt&amp;quot;. If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the City of Boulder. Please read the &lt;span style='box-sizing:border-box; font-weight:bolder;'&gt;&lt;a href='https://webappsprod.bouldercolorado.gov/opendata/Working%20with%20weights%20OSMP%20Master%20Plan%20Survey%202019.pdf' rel='nofollow ugc' target='_blank'&gt;Instructions for Working with Survey Weights&lt;/a&gt;&lt;/span&gt; document for more information.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;This survey was implemented by Erin Caldwell of the National Research Center, under contract with City of Boulder's Open Space and Mountain Parks Department.&lt;/p&gt;&lt;p style='box-sizing:border-box; margin-top:0px; color:rgb(41, 36, 29); font-family:&amp;quot;Trebuchet MS&amp;quot;, Helvetica, sans-serif; font-size:14px;'&gt;&lt;span style='box-sizing:border-box; font-weight:bolder;'&gt;&lt;span style='box-sizing:border-box; font-weight:bolder;'&gt;Note: The data file contains survey responses from three different surveys. Use the Data column &amp;quot;Type&amp;quot; to distinguish among the surveys. Type=1 is the statistically valid survey, Type=2 is the open participation survey, and Type=3 is the promotoras survey.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</idAbs>
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