Subtask analysis of process data through a predictive model

IF 1.5 3区 心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS British Journal of Mathematical & Statistical Psychology Pub Date : 2022-11-01 DOI:10.1111/bmsp.12290
Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying
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引用次数: 6

Abstract

Response process data collected from human–computer interactive items contain detailed information about respondents' behavioural patterns and cognitive processes. Such data are valuable sources for analysing respondents' problem-solving strategies. However, the irregular data format and the complex structure make standard statistical tools difficult to apply. This article develops a computationally efficient method for exploratory analysis of such process data. The new approach segments a lengthy individual process into a sequence of short subprocesses to achieve complexity reduction, easy clustering and meaningful interpretation. Each subprocess is considered a subtask. The segmentation is based on sequential action predictability using a parsimonious predictive model combined with the Shannon entropy. Simulation studies are conducted to assess the performance of the new method. We use a case study of PIAAC 2012 to demonstrate how exploratory analysis for process data can be carried out with the new approach.

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通过预测模型对过程数据进行子任务分析
从人机交互项目中收集的反应过程数据包含有关受访者行为模式和认知过程的详细信息。这些数据是分析受访者解决问题策略的宝贵来源。然而,不规则的数据格式和复杂的结构使标准统计工具难以应用。本文开发了一种计算高效的方法来对此类过程数据进行探索性分析。新方法将一个冗长的单个流程划分为一系列简短的子流程,以实现复杂性降低、易于聚类和有意义的解释。每个子流程都被视为一个子任务。分割是基于序列动作的可预测性,使用简约预测模型和香农熵相结合。为了评估新方法的性能,进行了仿真研究。我们使用PIAC 2012的案例研究来证明如何使用新方法对过程数据进行探索性分析。
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来源期刊
CiteScore
5.00
自引率
3.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.
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