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Bathtub Dynamics Revisited: Does Educational Background Matter?

机译:浴缸动态重新讨论:教育背景是吗?

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In prior studies, people's poor performance in dealing with basic systems concepts has been ascribed to different causes. While results indicate that, among other things, domain specific experience and familiarity with the problem context play a role in this stock-flow-(SF-)performance, this has not yet been fully clarified. In this article, we present an experiment that examines the role of educational background in SF-performance. We hypothesize that SF-performance increases when the problem context is embedded in the problem solver's knowledge domain, indicated by educational background. Using the square wave pattern and the sawtooth pattern tasks from the initial study by Booth Sweeney and Sterman (2000), we design two additional cover stories for the former, the Vehicle story from the engineering domain and the Application story from the business domain, next to the original Bathtub story. We then test the three sets of questions on business students. Results mainly support our hypothesis. Interestingly, participants even do better on a more complex behavioral pattern from their knowledge domain than on a simpler pattern from more distant domains. Although these findings have to be confirmed by further studies, they contribute both to the methodology of future surveys and the context familiarity discussion.
机译:在先前的研究中,人们在处理基本系统概念方面的表现不佳已经归因于不同的原因。虽然结果表明,除了其他事情,域特定的经验和熟悉问题上下文中,在这种股票流量(SF-)性能中起作用,尚未完全澄清。在本文中,我们介绍了一个实验,该实验审查了教育背景在SF-绩效中的作用。我们假设问题上下文嵌入问题求解域中的问题上下文时,我们假设SF性能会增加,由教育背景指示。使用Square Wave模式和Sawtooth模式任务由展开斯·斯·斯·斯斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯·斯曼(2000),我们为前者设计了两个额外的封面故事,从工程领域的车辆故事和商业领域的应用程序故事,下一步到原来的浴缸故事。然后,我们测试关于商学者的三组问题。结果主要支持我们的假设。有趣的是,参与者甚至可以从知识域更复杂的行为模式做得更好,而不是更遥远域的更简单的模式。虽然必须通过进一步研究确认这些调查结果,但它们贡献了未来调查的方法和背景熟悉的方法。

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