Comparison of confirmatory factor analysis estimation methods on binary data

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dc.authorid0000-0003-3129-1763
dc.authorid0000-0002-6767-0362
dc.authorid0000-0003-3527-686X
dc.contributor.authorKılıç, Abdullah Faruk
dc.contributor.authorUysal, İbrahim
dc.contributor.authorAtar, Burcu
dc.date.accessioned2021-06-23T18:32:34Z
dc.date.available2021-06-23T18:32:34Z
dc.date.issued2020
dc.departmentBAİBÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractThis Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance adjusted unweighted least squares (ULSMV), mean and variance adjusted weighted least squares (WLSMV), and Bayesian estimators. As a result of the study, it was revealed that increased average factor loading and sample size had a positive effect on the performance of the estimation methods. According to the research findings, it can be said that the methods are sufficient to estimate average factor loading and interfactor correlations, regardless of the estimation methods, in most of the conditions where the average factor loading is 0.7. In small sample sizes particularly, the interfactor correlation was underestimated for skewed indicator conditions. According to the findings of the study, although there is not the most accurate method in all conditions, it can be recommended to use ULSMV method because it performs adequately in more conditions.en_US
dc.identifier.doi10.21449/ijate.660353
dc.identifier.endpage487en_US
dc.identifier.issn2148-7456
dc.identifier.issn2148-7456
dc.identifier.issue3en_US
dc.identifier.startpage451en_US
dc.identifier.trdizinid379657en_US
dc.identifier.urihttps://doi.org/10.21449/ijate.660353
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpjNU5qVTNOdz09
dc.identifier.urihttps://hdl.handle.net/20.500.12491/1929
dc.identifier.volume7en_US
dc.identifier.wosWOS:000608511100010en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorUysal, İbrahim
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Assessment Tools in Educationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectConfirmatory Factor Analysis
dc.subjectEstimation Methods
dc.subjectBinary Data
dc.subjectSimulation
dc.titleComparison of confirmatory factor analysis estimation methods on binary dataen_US
dc.typeArticleen_US

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