PredPsych: A toolbox for predictive machine learning-based approach in experimental psychology research

Article, Preprint, Other literature type English OPEN
Cavallo, Andrea; Becchio, Cristina; Koul, Atesh;
(2017)
  • Publisher: Springer US
  • Journal: Behavior Research Methods, volume 50, issue 4, pages 1,657-1,672 (issn: 1554-351X, eissn: 1554-3528)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.13140/rg.2.2.22347.59680, doi: 10.3758/s13428-017-0987-2, doi: 10.17605/OSF.IO/PVJAC, pmc: PMC6096646
  • Subject: Classification; Clustering; Multivariate analysis; Permutation testing; Predictive approaches; Experimental and Cognitive Psychology; Developmental and Educational Psychology; Arts and Humanities (miscellaneous); Psychology (miscellaneous); Psychology (all) | bepress|Social and Behavioral Sciences|Psychology | bepress|Social and Behavioral Sciences | bepress|Life Sciences | Classification | Multivariate analysis | Article | Predictive approaches | bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology | bepress|Life Sciences|Neuroscience and Neurobiology | bepress|Life Sciences|Neuroscience and Neurobiology|Cognitive Neuroscience | Permutation testing | Clustering

Recent years have seen an increased interest in machine learning based predictive methods for analysing quantitative behavioural data in experimental psychology. While these methods can achieve relatively greater sensitivity compared to conventional univariate technique... View more
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