How to reduce the number of rating scale items without predictability loss?

Koczkodaj, W W; Kakiashvili, T; Szymanska, A; Montero-Marin, J; Araya, R; Garcia-Campayo, J; Rutkowski, K; Strzalka, D

Koczkodaj, W W; Kakiashvili, T; Szymanska, A; Montero-Marin, J; Araya, R; Garcia-Campayo, J; Rutkowski, K; Strzalka, D.

Afiliación

Koczkodaj WW; Computer Science, Laurentian University, 935 Ramsey Lake Rd., Sudbury, ON P3E 2C6 Canada.
Kakiashvili T; Sudbury Therapy, Sudbury, ON Canada.
Szymanska A; UKSW University, Dewajtis 5, 01-815 Warsaw, Poland.
Montero-Marin J; Faculty of Health Sciences and Sports, University of Zaragoza, Saragossa, Spain.
Araya R; Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, UK.
Garcia-Campayo J; Miguel Servet Hospital, University of Zaragoza, Saragossa, Spain.
Rutkowski K; Jagiellonian University, GolÈ©bia 24, 31-007 Kraków, Poland.
Strzalka D; Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Al. Powstanców Warszawy 12, 35-959 Rzeszow, Poland.

Scientometrics ; 111(2): 581-593, 2017.

Article en En | MEDLINE | ID: mdl-28490822

Palabras clave

Prediction; Rating scale; Receiver operator characteristic; Reduction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Scientometrics Año: 2017 Tipo del documento: Article Pais de publicación: Suiza

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