Subject matter: Social Sciences
Access rights: info:eu-repo/semantics/openAccess
Researcher identifier: 0000-0002-3133-5466;0000-0001-5369-3099;0000-0003-0880-8920
Published by (editorial): Universitat Rovira i Virgili
Related publications: Ferrando PJ, Lorenzo-Seva U, Bargalló-Escrivà MT (2023) Gulliksen’s pool: A quick tool for preliminary detection of problematic items in item factor analysis. PLoS ONE 18(8): e0290611.
Abstract: It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected. Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis (2023-06-15)
Departament: Psicologia
DOI: 10.34810/data759
Document type: info:eu-repo/semantics/other
Repository ingest date: 2023-06-18
Author: Ferrando, Pere J.;Lorenzo-Seva, Urbano;Bargalló-Escrivà, M. Teresa
Keywords: Factor analysis (MeSH);Efficiency (MeSH);Análisis factorial (Unesco thesaurus)
Dataset publication year: 2023
Funding program action: Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación (AEI), the European Regional Development Fund (ERDF): PID2020-112894GB-I00
Dataset title: Data of simulation study for preliminary detection of problematic items in item factor analysis
Repositori URV