Data of simulation study for preliminary detection of problematic items in item factor analysis

DOI

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

Identifier
DOI https://doi.org/10.34810/data759
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data759
Provenance
Creator Ferrando, Pere J. ORCID logo; Lorenzo-Seva, Urbano ORCID logo; Bargalló-Escrivà, M. Teresa ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Bargalló-Escrivà, Maria Teresa; Universitat Rovira i Virgili
Publication Year 2023
Funding Reference Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación (AEI), the European Regional Development Fund (ERDF) PID2020-112894GB-I00
Rights CC BY-NC-ND 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-nd/4.0
OpenAccess true
Contact Bargalló-Escrivà, Maria Teresa (Universitat Rovira i Virgili)
Representation
Resource Type Simulation data; Dataset
Format text/tab-separated-values; text/plain
Size 8007997; 8007999; 6496
Version 4.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences