The compatibility of theoretical frameworks with machine learning analyses in psychological research

Volume: 36, Pages: 83 - 88
Published: Dec 1, 2020
Abstract
Supervised machine learning has been increasingly used in psychology and psychiatry research. Machine learning offers an important advantage over traditional statistical analyses: statistical model training in example data to enhance predictions in external test data. Additional advantages include advanced, improved statistical algorithms, and empirical methods to select a smaller set of predictor variables. Yet machine learning researchers...
Paper Details
Title
The compatibility of theoretical frameworks with machine learning analyses in psychological research
Published Date
Dec 1, 2020
Volume
36
Pages
83 - 88
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