Machine Learning based Psychology: Advocating for A Data-Driven Approach.

IF 1.2 4区 心理学 Q3 PSYCHOLOGY, MULTIDISCIPLINARY International Journal of Psychological Research Pub Date : 2021-01-01 DOI:10.21500/20112084.5365
Jorge I Vélez
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引用次数: 7

Abstract

How to Cite: Vélez, J. I. (2021). Machine Learning Psychology: Advocating for a Data-Driven Approach. International Journal of Psychological Research, 14 (1), 6–11. https://doi.org/10.21500/20112084.5365 Since its beginnings, Psychology has been prone to both data generation and understanding of human behavior through data analysis. Back in 1879, Dr. Wilheim Wundt opened the first experimental psychology lab at the University of Leipzig to study reaction times. To many, this is considered the start of Psychology as a separate scientific discipline and the use of data analysis for data-driven decision making in the field (Flis, 2019; Tweney, 2003). In this Editorial, we briefly discuss how Psychology students, clinicians, and researchers may take part of the data revolution and help transforming Psychology, as we know it, into Machine Learning Psychology.
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基于机器学习的心理学:倡导数据驱动的方法。
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来源期刊
International Journal of Psychological Research
International Journal of Psychological Research PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
2.30
自引率
9.10%
发文量
22
审稿时长
16 weeks
期刊介绍: The International Journal of Psychological Research (Int.j.psychol.res) is the Faculty of Psychology’s official publication of San Buenaventura University in Medellin, Colombia. Int.j.psychol.res relies on a vast and diverse theoretical and thematic publishing material, which includes unpublished productions of diverse psychological issues and behavioral human areas such as psychiatry, neurosciences, mental health, among others.
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