60710 20190709135446.0 doi 10.1007/s11192-017-2283-4 sideral 98162 ART-2017-98162 eng Koczkodaj, W.W. How to reduce the number of rating scale items without predictability loss? 2017 Access copy available to the general public Unrestricted Rating scales are used to elicit data about qualitative entities (e.g., research collaboration). This study presents an innovative method for reducing the number of rating scale items without the predictability loss. The “area under the receiver operator curve method” (AUC ROC) is used. The presented method has reduced the number of rating scale items (variables) to 28.57% (from 21 to 6) making over 70% of collected data unnecessary. Results have been verified by two methods of analysis: Graded Response Model (GRM) and Confirmatory Factor Analysis (CFA). GRM revealed that the new method differentiates observations of high and middle scores. CFA proved that the reliability of the rating scale has not deteriorated by the scale item reduction. Both statistical analysis evidenced usefulness of the AUC ROC reduction method. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.173 2017 INFORMATION SCIENCE & LIBRARY SCIENCE 25 / 88 = 0.284 2017 Q2 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 44 / 105 = 0.419 2017 Q2 T2 1.125 2017 Computer Science Applications 2017 Q1 Social Sciences (miscellaneous) 2017 Q1 Library and Information Sciences 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Kakiashvili, T. Szymanska, A. Montero-Marin, J. Araya, R. (orcid)0000-0002-3797-4218 Garcia-Campayo, J. Universidad de Zaragoza Rutkowski, K. Strzalka, D. 1007 745 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Psiquiatría (2017), 1-13 Scientometrics SCIENTOMETRICS 0138-9130 555802 http://zaguan.unizar.es/record/60710/files/texto_completo.pdf Versión publicada 46174 http://zaguan.unizar.es/record/60710/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:60710 articulos driver 2019-07-09-11:38:38 ARTICLE