Modeling dataset - field network analysis (Esparza & Smith, 2023: Ecosphere)

Data used in the analyses for Esparza &amp; Smith, 2023 published in Ecosphere in the Eco-Education track. The file entitled "modeling dataset" contains participant demographic information, personal and professional outstrength/outdegree, survey responses to the science identity portion of the Persistence in the Sciences Survey, and project grades. Students self-reported demographic information on a demographic survey included with the first name generator survey early (week 6) in the semester. Project grades and science identity data were collected late (week 15) in the semester. See Esparza and Smith (In review) Materials and Methods for more information.<br>The file entitled "modeling metadata" includes detailed information on the data included in the "modeling dataset" CSV. file. This includes the ranges/categories and a description of each variable included in the dataset.<br>All data are anonymized so as to protect the identity and privacy of all research participants and their listed contacts. The research has been approved by the Cornell University Institutional Review Board under the exempt protocol #2001009364.

本数据集用于Esparza与Smith于2023年发表于《Ecosphere》期刊生态教育专栏的分析研究。名为**建模数据集（modeling dataset）**的文件收录了参与者人口统计学信息、个人与职业层面的优势输出与出度（outstrength/outdegree）、《科学坚持度调查问卷（Persistence in the Sciences Survey）》中科学认同板块的调研结果，以及课程项目成绩。学生于学期第6周早期，在随姓名生成调查问卷一同发放的人口统计调查中自行上报了人口统计学信息；课程项目成绩与科学认同数据则于学期第15周晚期完成收集。更多详细信息可参阅Esparza与Smith（待刊稿）的《材料与方法》部分。
名为**建模元数据（modeling metadata）**的文件包含了“建模数据集（modeling dataset）”CSV文件中所收录数据的详细说明，涵盖各变量的取值范围、分类标准及具体描述。
所有数据均已完成匿名化处理，以保护所有研究参与者及其登记联系人的身份与隐私。本研究已通过康奈尔大学机构审查委员会（Cornell University Institutional Review Board）批准，豁免研究协议编号为2001009364。