Author, as appears in the article.: Pere J. Ferrando; Andreu Vigil-Colet; Urbano Lorenzo-Seva
Department: Psicologia
URV's Author/s: FERRANDO PIERA, PERE JOAN; VIGIL COLET, ANDRÉS; LORENZO SEVA, URBANO
Keywords: Mean-squared person-fit indices Personal correlation Linear factor analysis Outliers detection Person-fit statistics
Abstract: Linear factor analysis (FA) is, possibly, the most widely used model in psychometric applications based on graded-response or more continuous items. However, in these applications consistency at the individual level (person fit) is virtually never assessed. The aim of the present study is to propose a simple and workable approach to routinely assess person fit in FA-based studies. To do so, we first consider five potentially appropriate indices, of which one is a new proposal and the other is a modification of an existing index. Next, the effectiveness of these indices is assessed by using (a) a thorough simulation study that attempts to mimic realistic conditions, and (b) an illustrative example based on real data. Results suggest that the mean-squared lico index and the personal correlation work well in conjunction and can function effectively for detecting different types of inconsistency. Finally future directions and lines of research are discussed.
Research group: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris
Thematic Areas: Psychology Psicología Psicologia
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1664-1078
Author identifier: 0000-0002-3133-5466; 0000-0003-3818-4514; 0000-0001-5369-3099
Record's date: 2017-01-24
Journal volume: 7
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.frontiersin.org/articles/10.3389/fpsyg.2016.01973/full
Article's DOI: 10.3389/fpsyg.2016.01973
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
First page: Art.num. 1973
Publication Type: Article Artículo Article
Repositori URV