Two Markov Solution Process Models for the Assessment of Planning in Problem Solving.

IF 2.9 2区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Andrea Brancaccio, Debora de Chiusole, Ottavia M Epifania, Pasquale Anselmi, Matilde Spinoso, Noemi Mazzoni, Alice Bacherini, Matteo Orsoni, Sara Giovagnoli, Irene Pierluigi, Mariagrazia Benassi, Giulia Balboni, Luca Stefanutti
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引用次数: 0

Abstract

Tower tasks are popular tools used to measure planning skills. The sequences of moves undertaken by the respondents in solving tower tasks might provide important and useful information to shed light on their planning skills. The article focuses on the distinction between a situation where planning occurs before action (pre-planning) from one where planning and action are interlaced all along the execution of the task (interim-planning). While the model for pre-planning was already developed by Stefanutti et al. (2021), an alternative model for the interim-planning is proposed. The two models are compared with one another in an empirical study. In accordance with the literature on the development of planning skills, the pre-planning model better fits data collected on individuals aged 14 on, while the interim-planning model displays a better fit with data collected on individuals aged 4-8. This result is further corroborated by the analysis of the time performance.

问题解决中计划评估的两个马尔可夫解过程模型。
塔式任务是衡量计划能力的常用工具。被调查者在解决塔任务时采取的行动顺序可能提供重要和有用的信息,以阐明他们的计划技能。这篇文章关注的是计划发生在行动之前的情况(预计划)和计划和行动在任务执行过程中相互交织的情况(中期计划)之间的区别。虽然Stefanutti等人(2021)已经开发了预先规划模型,但提出了一种替代的中期规划模型。在实证研究中,对两种模型进行了比较。根据有关规划技能发展的文献,预规划模型更适合14岁以上的个体数据,而中期规划模型更适合4-8岁的个体数据。对时间性能的分析进一步证实了这一结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Psychometrika
Psychometrika 数学-数学跨学科应用
CiteScore
4.40
自引率
10.00%
发文量
72
审稿时长
>12 weeks
期刊介绍: The journal Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. Its coverage is offered in two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and reviews on the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences and related fields. Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, or more elegant data description.
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