Questionnaire data for assessing what determines urban residents' engagement in activities for the protection of urban green spaces (UGS)

<p>This dataset contains the core data used to investigate what determines Munich&rsquo;s residents&rsquo; engagement in activities for the protection of urban green spaces (UGS). We conducted&nbsp;an&nbsp;exploratory factor analysis and a structural equation modelling based on the data from an online and in-person questionnaire.</p> <p><strong>List of data and content</strong></p> <ol> <li>Questionnaire_English: The content of the questionnaire in English (*.pdf)</li> <li>Questionnaire_RawData_ Munchen_German: Core data from the questionnaire in German (*.xlsx)</li> <li>InputEFA1: Core data for the first exploratory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>InputEFA2: Core data for the second exploratory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>InputSEM: Core data for the structural equation modelling with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsSEM: Results of the structural equation modelling (*.xlsx)</li> <li>InputCFA1: Core data for the first confirmatory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsCFA1: Results of the confirmatory factor analysis (*.xlsx)</li> <li>InputCFA2: Core data for the second confirmatory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsCFA2: Results of the confirmatory factor analysis (*.xlsx)</li> <li>Acronyms_Shortings: Acronyms and shortings used in the uploaded files (*.pdf)</li> </ol> <p><strong>Data processing</strong></p> <p>The software for performing the exploratory factor analysis and structural equation modelling was Mplus 8.8&nbsp;(Muth&eacute;n and Muth&eacute;n, 1998). The details on the methodological steps are available in the published publication.&nbsp;To quickly understand the&nbsp;<a href="https://www.statmodel.com/HTML_UG/chapter4V8.htm">EFA</a>,<a href="https://www.statmodel.com/download/usersguide/Chapter5.pdf">&nbsp;CFA and SEM model and settings</a>&nbsp;the details are provided in the hyperlinks.</p> <p><strong>Acknowledgments</strong></p> <p>The authors thank&nbsp;to all participants&nbsp;for their participation&nbsp;in the&nbsp;online and in-person questionnaires. Data processing and analysis would not have been possible without the help of&nbsp;Tomomi Saito.</p> <p>This work was supported by a grant from the&nbsp;Alexander von Humboldt Foundation&nbsp;and by the Leibniz Best Minds Competition, Leibniz-Junior Research Group, Grant J76/2019.</p>