Data from: Engagement in the Data Collection Phase of the Scientific Process is Key for Enhancing Learning Gains

We have provided the data and code used in the statistical analyses for the Citizen Science: Theory and Practice journal article titled, "Engagement in the Data Collection Phase of the Scientific Process is Key for Enhancing Learning Gains." There are two data files in this folder: (1) "pre_post_matched_anonymous.csv" contains the pre- and post-survey responses for respondents who were able to be matched up after being cleaned, but before dependent variables are created; (2) "pre_post_data_for_analysis_anonymous.csv" contains the same pre- and post-survey responses and dependent variables that are used in the model analyses. The first data file is used in the R script, "pre_post_create_variables.R" and the second data file is used in all of the R scripts with "analysis" in the title, with each script corresponding to the model analyses run for each dependent variable.

本数据集提供了发表于期刊《Citizen Science: Theory and Practice》的学术论文《参与科学研究流程的数据收集阶段是提升学习成效的关键》中统计分析所用的数据与代码。本文件夹内包含两份数据文件：(1) "pre_post_matched_anonymous.csv" 收录了经过数据清洗、但尚未构建因变量（dependent variables）前完成配对的受访者的前测与后测问卷回复数据；(2) "pre_post_data_for_analysis_anonymous.csv" 则包含了用于模型分析的同款前后测问卷回复数据，以及已构建完成的因变量。第一份数据文件将用于R脚本"pre_post_create_variables.R"，第二份数据文件则用于所有文件名含"analysis"字样的R脚本，每份脚本分别对应针对单一因变量开展的模型分析。