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

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

本数据集包含用于探究慕尼黑居民参与城市绿地（Urban Green Spaces, UGS）保护活动影响因素的核心研究数据。本研究基于线上与线下问卷调查获取的数据，开展了探索性因子分析与结构方程模型建模。

数据集文件说明：
1. Questionnaire_English：英文问卷内容（*.pdf）
2. Questionnaire_RawData_Munchen_German：慕尼黑德语版问卷核心原始数据（*.xlsx）
3. InputEFA1：首次探索性因子分析（Exploratory Factor Analysis, EFA）的核心数据及Mplus分析输入文件（*.xlsx）
4. InputEFA2：第二次探索性因子分析的核心数据及Mplus分析输入文件（*.xlsx）
5. InputSEM：结构方程模型（Structural Equation Modelling, SEM）的核心数据及Mplus分析输入文件（*.xlsx）
6. ResultsSEM：结构方程模型分析结果（*.xlsx）
7. InputCFA1：首次验证性因子分析（Confirmatory Factor Analysis, CFA）的核心数据及Mplus分析输入文件（*.xlsx）
8. ResultsCFA1：首次验证性因子分析结果（*.xlsx）
9. InputCFA2：第二次验证性因子分析的核心数据及Mplus分析输入文件（*.xlsx）
10. ResultsCFA2：第二次验证性因子分析结果（*.xlsx）
11. Acronyms_Shortings：本数据集上传文件中使用的缩写与简称说明（*.pdf）

数据处理说明：
本研究开展探索性因子分析与结构方程模型建模所用软件为Mplus 8.8（Muthén与Muthén，1998）。方法论步骤的详细说明已刊载于正式发表的学术论文。若需快速了解探索性因子分析、验证性因子分析与结构方程模型的模型设置与细节，可通过相关超链接查阅。

致谢：
作者谨向所有参与线上与线下问卷调查的受访者致以诚挚谢意。若无Tomomi Saito的协助，本研究无法完成数据处理与分析工作。本研究得到亚历山大·冯·洪堡基金会（Alexander von Humboldt Foundation）以及莱布尼茨杰出青年人才竞赛（Leibniz Best Minds Competition）莱布尼茨青年研究小组资助项目J76/2019的支持。