Machine learning item selection for short scale construction: A proof-of-concept using the SIMS.

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Bibliographic Details
Title: Machine learning item selection for short scale construction: A proof-of-concept using the SIMS.
Authors: Orrù G; Department of Surgical, Medical, Molecular & Critical Area Pathology, University of Pisa, Pisa, Italy., De Marchi B; Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy., Sartori G; Department of General Psychology, University of Padua, Padua, Italy., Gemignani A; Department of Surgical, Medical, Molecular & Critical Area Pathology, University of Pisa, Pisa, Italy., Scarpazza C; Department of General Psychology, University of Padua, Padua, Italy., Monaro M; Department of General Psychology, University of Padua, Padua, Italy., Mazza C; Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy., Roma P; Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy.
Source: The Clinical neuropsychologist [Clin Neuropsychol] 2023 Oct; Vol. 37 (7), pp. 1371-1388. Date of Electronic Publication: 2022 Aug 26.
Publication Type: Journal Article
Journal Info: Publisher: Psychology Press Country of Publication: England NLM ID: 8806548 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-4144 (Electronic) Linking ISSN: 13854046 NLM ISO Abbreviation: Clin Neuropsychol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1744-4144
DOI:10.1080/13854046.2022.2114548