ProcData: An R Package for Process Data Analysis
ProcData: An R Package for Process Data Analysis
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DOI：
10.1007/s11336-021-09798-7
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发表时间：
2020-06
期刊：
影响因子：
3
通讯作者：
Xueying Tang;Susu Zhang;Zhi Wang;Jingchen Liu;Z. Ying
中科院分区：
文献类型：
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作者：
Xueying Tang;Susu Zhang;Zhi Wang;Jingchen Liu;Z. Ying
过程数据是指记录在计算机项目日志文件中的数据。这些数据以带有时间戳的操作序列表示，跟踪受访者的响应和解决问题的行为。过程数据分析旨在通过利用响应过程中包含的丰富信息来提高教育评估的准确性，并为其他评估目的服务。本文提供的R包ProcData旨在提供检查、处理和分析过程数据的工具。我们定义了一个用于组织过程数据的S3类‘proc’，并为‘proc’扩展了泛型方法汇总和打印。在包中实现了过程数据的特征提取方法，将不规则响应过程中的信息压缩成规则的数字向量。ProcData还提供了从基于神经网络的序列模型进行预测的功能。此外，成套资料中还包括2012年国际学生评估方案中气候控制项目反应过程的真实数据集。
Process data refer to data recorded in log files of computer-based items. These data, represented as timestamped action sequences, keep track of respondents’ response problem-solving behaviors. Process data analysis aims at enhancing educational assessment accuracy and serving other assessment purposes by utilizing the rich information contained in response processes. The R package ProcData presented in this article is designed to provide tools for inspecting, processing, and analyzing process data. We define an S3 class ‘proc’ for organizing process data and extend generic methods summary and print for ‘proc’. Feature extraction methods for process data are implemented in the package for compressing information in the irregular response processes into regular numeric vectors. ProcData also provides functions for making predictions from neural-network-based sequence models. In addition, a real dataset of response processes from the climate control item in the 2012 Programme for International Student Assessment is included in the package.