If Mathematical Psychology Did Not Exist We Might Need to Invent It: A Comment on Theory Building in Psychology
If Mathematical Psychology Did Not Exist We Might Need to Invent It: A Comment on Theory Building in Psychology
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如果数学心理学不存在，我们可能需要发明它：对心理学理论构建的评论
DOI：
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发表时间：
2021
影响因子：
12.6
通讯作者：
D. Navarro
中科院分区：
文献类型：
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作者：
D. Navarro
在讨论心理学理论的主题时，人们通常会假设心理学与自然科学不同，因为我们没有支持累积性递增科学的理论，所以撰写文章是很常见的。在这篇简短的文章中，我讨论了一个反例：谢泼德泛化定律和它在过去30年中启发的各种贝叶斯扩展。以谢泼德定律为例，我认为心理学理论的构建不是一个统计问题，数学形式主义有利于理论，测量和理论有着复杂的关系，改写旧的理论可以产生新的见解，理论的增长可以推动实证工作。虽然我通常认为数学心理学的工具对心理学理论家来说是有价值的，但我也评论了这种方法的一些局限性。
It is commonplace, when discussing the subject of psychological theory, to write articles from the assumption that psychology differs from the physical sciences in that we have no theories that would support cumulative, incremental science. In this brief article I discuss one counterexample: Shepard’s law of generalization and the various Bayesian extensions that it inspired over the past 3 decades. Using Shepard’s law as a running example, I argue that psychological theory building is not a statistical problem, mathematical formalism is beneficial to theory, measurement and theory have a complex relationship, rewriting old theory can yield new insights, and theory growth can drive empirical work. Although I generally suggest that the tools of mathematical psychology are valuable to psychological theorists, I also comment on some limitations to this approach.
影响因子：
4.1
作者：
NOSOFSKY, RM
通讯作者：
NOSOFSKY, RM