Author, as appears in the article.: Lorenzo-Seva, Urbano; Ferrando, Pere J
Department: Psicologia
URV's Author/s: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano
Keywords: Spss Sample splitting Replication R Msa Kmo index Item selection Item discrimination Exploratory item factor analysis spss sample splitting replication r kmo index item selection item discrimination exploratory item factor analysis
Abstract: Kaiser's single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before a factor analysis (FA) solution is fittedto an item-pool dataset for item selection purposes. For reasons discussed in the article, however, MSA is hardly used nowadays in this context. In our view, this is unfortunate. In the present proposal, we firstdiscuss the foundation and rationale of MSA from a 'modern' FA view, as well as its usefulness in the item selection process. Second, we embed the index within a robust approach and propose improvements in the preliminary item selection process. Third, we implement the proposal in different statistical programs. Finally, we illustrate its use and advantages with an empirical example in personality measurement.
Thematic Areas: Social sciences, mathematical methods Social sciences (miscellaneous) Social sciences (all) Psychology, mathematical Psychology (miscellaneous) Psychology (all) Psicología General social sciences General psychology Ciencias sociales
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: urbano.lorenzo@urv.cat perejoan.ferrando@urv.cat
Author identifier: 0000-0001-5369-3099 0000-0002-3133-5466
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://meth.psychopen.eu/index.php/meth/article/view/7185
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences. 17 (4): 296-306
APA: Lorenzo-Seva, Urbano; Ferrando, Pere J (2021). MSA: The Forgotten Index for Identifying Inappropriate Items Before Computing Exploratory Item Factor Analysis. Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences, 17(4), 296-306. DOI: 10.5964/meth.7185
Article's DOI: 10.5964/meth.7185
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV