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Data-Driven Methods to Diversify Knowledge of Human Psychology
Trends in Cognitive Sciences ( IF 19.9 ) Pub Date : 2018-01-01 , DOI: 10.1016/j.tics.2017.10.002
Rachael E. Jack , Carlos Crivelli , Thalia Wheatley

Psychology aims to understand real human behavior. However, cultural biases in the scientific process can constrain knowledge. We describe here how data-driven methods can relax these constraints to reveal new insights that theories can overlook. To advance knowledge we advocate a symbiotic approach that better combines data-driven methods with theory.

中文翻译:

使人类心理学知识多样化的数据驱动方法

心理学旨在了解真实的人类行为。然而,科学过程中的文化偏见会限制知识。我们在这里描述了数据驱动的方法如何放宽这些限制以揭示理论可能忽略的新见解。为了推进知识,我们提倡一种将数据驱动方法与理论更好地结合的共生方法。
更新日期:2018-01-01
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