Connecting Scientific Reasoning and Causal Inference
Connecting Scientific Reasoning and Causal Inference
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连接科学推理和因果推理
DOI：
10.1207/s15327647jcd0502_5
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发表时间：
2004
影响因子：
2.1
通讯作者：
David Dean, Jr.
中科院分区：
文献类型：
--
作者：
D. Kuhn;David Dean, Jr.
关于多变量因果推理（MCI）的文献和关于科学推理（SR）的文献几乎完全独立进行，尽管它们在很大程度上解决了相同的现象。努力使这些范式彼此足够接近，以比较两条工作线的影响，并研究它们如何相互照亮。结论是，SR研究站在受益于承认，它解决了一个更广泛的认知现象比推理的背景下，明确的科学，而MCI研究站在受益于承认之间，特别是，个体内的差异，其方法可能掩盖。这里报告的数据的基础上合并的两种方法的范式支持一个模型，在该模型中，个人有不同的推理策略或规则（反映因果关系的推断不同的标准），他们选择跨场合，在一个动态的过程中的理论证据协调。
Literature on multivariable causal inference (MCI) and literature on scientific reasoning (SR) have proceeded almost entirely independently, although they in large part address the same phenomena. An effort is made to bring these paradigms into close enough alignment with one another to compare implications of the two lines of work and examine how they might illuminate one another. The conclusion is that SR research stands to benefit from recognition that it addresses a broader set of cognitive phenomena than reasoning in contexts that are explicitly scientific, whereas MCI research stands to benefit from recognizing inter- and, especially, intra-individual variability that its methods may have masked. Data reported here based on a merging of the two methodological paradigms support a model in which individuals have available a repertory of different inference strategies or rules (reflecting different criteria for inferences of causality) from which they select variably across occasions, in a dynamic process of theory-evidence coordination.
DOI：
10.1037//0003-066x.46.6.606
发表时间：
1991
期刊：
The American psychologist
影响因子：
--
作者：
Siegler,RS;Crowley,K
通讯作者：
Crowley,K