Author, as appears in the article.: Lorenzo-Seva, Urbano; Van Ginkel, Joost R.;
Department: Psicologia
URV's Author/s: Lorenzo Seva, Urbano
Keywords: Variables Predictive mean matching imputation Parameters Optimal agreement Oblique factor rotation Multiple imputation Missing data Loading matrices Hot-deck imputation Factor scores Exploratory factor analysis Consensus rotation
Abstract: Researchers frequently have to analyze scales in which some participants have failed to respond to some items. In this paper we focus on the exploratory factor analysis of multidimensional scales (i.e., scales that consist of a number of subscales) where each subscale is made up of a number of Liken-type items, and the aim of the analysis is to estimate participants' scores on the corresponding latent traits. We propose a new approach to deal with missing responses in such a situation that is based on (1) multiple imputation of non-responses and (2) simultaneous rotation of the imputed datasets. We applied the approach in a real dataset where missing responses were artificially introduced following a real pattern of non-responses, and a simulation study based on artificial datasets. The results show that our approach (specifically, Hot-Deck multiple imputation followed of Consensus Promin rotation) was able to successfully compute factor score estimates even for participants that have missing data.
Thematic Areas: Saúde coletiva Revistas ciencias del comportamiento Psychology, multidisciplinary Psychology (miscellaneous) Psychology (all) Psychology Psicología Medicina i General psychology Educação Ciencias sociales
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: urbano.lorenzo@urv.cat
Author identifier: 0000-0001-5369-3099
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://revistas.um.es/analesps/article/view/analesps.32.2.215161
Papper original source: Anales De Psicologia. 32 (2): 596-608
APA: Lorenzo-Seva, Urbano; Van Ginkel, Joost R.; (2016). Multiple Imputation of missing values in exploratory factor analysis of multidimensional scales: estimating latent trait scores. Anales De Psicologia, 32(2), 596-608. DOI: 10.6018/analesps.32.2.215161
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.6018/analesps.32.2.215161
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications
Repositori URV