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解决空间可视化任务中的策略混合问题。

Resolving mixtures of strategies in spatial visualization tasks.

作者信息

Mislevy R J, Wingersky M S, Irvine S H, Dann P L

机构信息

Educational Testing Service, Princeton, NJ 08541.

出版信息

Br J Math Stat Psychol. 1991 Nov;44 ( Pt 2):265-88.

PMID:1772801
Abstract

The models of standard test theory, having evolved under a trait-oriented psychology, do not reflect the knowledge structures and the problem-solving strategies now seen as central to understanding performance and learning. In some applications, however, key qualitative distinctions among persons as to structures and strategies can be expressed through mixtures of test theory models, drawing on substantive theory to delineate the components of the mixture. This approach is illustrated with response latencies to spatial visualization tasks that can be solved by mental rotation or by a non-rotational rule-based strategy. It is assumed that a subject employs the same strategy on all tasks, but the possibility of extending the approach to strategy-switching is discussed.

摘要

标准测试理论模型是在以特质为导向的心理学背景下发展起来的,它没有反映出如今被视为理解表现和学习核心的知识结构和问题解决策略。然而,在某些应用中,关于结构和策略的个体之间关键的质性差异可以通过测试理论模型的混合来表达,借助实质理论来描绘混合的成分。通过对空间可视化任务的反应潜伏期来说明这种方法,这些任务可以通过心理旋转或基于非旋转规则的策略来解决。假设一个受试者在所有任务上都采用相同的策略,但也讨论了将该方法扩展到策略转换的可能性。

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