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Beyond Psychometrics: The Difference between Difficult Problem Solving and Complex Problem Solving

机译:超越心理学:困难问题解决与复杂问题解决的区别

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摘要

In this paper we argue that a synthesis of findings across the various sub-areas of research in complex problem solving and consequently progress in theory building is hampered by an insufficient differentiation of complexity and difficulty. In the proposed framework of person, task, and situation (PTS), complexity is conceptualized as a quality that is determined by the cognitive demands that the characteristics of the task and the situation impose. Difficulty represents the quantifiable level of a person’s success in dealing with such demands. We use the well-documented “semantic effect” as an exemplar for testing some of the conceptual assumptions derived from the PTS framework. We demonstrate how a differentiation between complexity and difficulty can help take beyond a potentially too narrowly defined psychometric perspective and subsequently gain a better understanding of the cognitive mechanisms behind this effect. In an empirical study a total of 240 university students were randomly allocated to one of four conditions. The four conditions resulted from contrasting the semanticity level of the variable labels used in the CPS system (high vs. low) and two instruction conditions for how to explore the CPS system’s causal structure (starting with the assumption that all relationships between variables existed vs. starting with the assumption that none of the relationships existed). The variation in the instruction aimed at inducing knowledge acquisition processes of either (1) systematic elimination of presumptions, or (2) systematic compilation of a mental representation of the causal structure underpinning the system. Results indicate that (a) it is more complex to adopt a “blank slate” perspective under high semanticity as it requires processes of inhibiting prior assumptions, and (b) it seems more difficult to employ a systematic heuristic when testing against presumptions. In combination, situational characteristics, such as the semanticity of variable labels, have the potential to trigger qualitatively different tasks. Failing to differentiate between ‘task’ and ‘situation’ as independent sources of complexity and treating complexity and difficulty synonymously threaten the validity of performance scores obtained in CPS research.
机译:在本文中,我们认为,复杂性和难易程度之间的区分不够充分,阻碍了复杂问题解决研究各个子领域的研究成果的综合,因而在理论构建方面取得了进展。在提议的人员,任务和情况(PTS)框架中,将复杂性概念化为一种质量,该质量由任务和情况的特征所施加的认知需求确定。困难表示一个人在处理此类需求方面的成功程度。我们使用记录良好的“语义效应”作为示例来测试源自PTS框架的一些概念假设。我们证明了复杂性和困难之间的区别如何可以帮助超越可能过于狭窄的心理计量学视角,进而更好地理解这种效应背后的认知机制。在一项实证研究中,共有240名大学生被随机分配到四个条件之一。这四个条件是通过对比CPS系统中使用的变量标签的语义级别(高对低)和两个说明条件来探讨CPS系统的因果结构的(从假设变量之间存在所有关系开始)。从假设不存在任何关系开始。指令中的变化旨在诱导知识获取过程,这些过程是(1)系统地消除推定,或者(2)系统地构建了构成该系统基础的因果结构的心理表征。结果表明:(a)在高语义下采用“空白状态”的观点更为复杂,因为它需要抑制先验假设的过程,并且(b)在对推定进行检验时,采用系统的启发式方法似乎更加困难。结合起来,情境特征(例如变量标签的语义)有可能触发定性不同的任务。无法区分“任务”和“情况”作为复杂性的独立来源,并且无法将复杂性和困难视为同义词,这威胁到在CPS研究中获得的绩效评分的有效性。

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