Comparison of factor retention methods on binary data: A simulation study

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dc.authorid0000-0002-6767-0362
dc.authorid0000-0003-3129-1763
dc.contributor.authorKılıç, Abdullah Faruk
dc.contributor.authorUysal, İbrahim
dc.date.accessioned2021-06-23T19:51:23Z
dc.date.available2021-06-23T19:51:23Z
dc.date.issued2019
dc.departmentBAİBÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractIn this study, the purpose is to compare factor retention methods under simulation conditions. For this purpose, simulations conditions with a number of factors (1, 2 [simple]), sample sizes (250, 1.000, and 3.000), number of items (20, 30), average factor loading (0.50, 0.70), and correlation matrix (Pearson Product Moment [PPM] and Tetrachoric) were investigated. For each condition, 1.000 replications were conducted. Under the scope of this research, performances of the Parallel Analysis, Minimum Average Partial, DETECT, Optimal Coordinate, and Acceleration Factor methods were compared by means of the percentage of correct estimates, and mean difference values. The results of this study indicated that MAP analysis, as applied to both tetrachoric and PPM correlation matrices, demonstrated the best performance. PA showed a good performance with the PPM correlation matrix, however, in smaller samples, the performance of the tetrachoric correlation matrix decreased. The Acceleration Factor method proposed one factor for all simulation conditions. For unidimensional constructs, the DETECT method was affected by both the sample size and average factor loading.en_US
dc.identifier.doi10.19128/turje.518636
dc.identifier.endpage179en_US
dc.identifier.issn2147-2858
dc.identifier.issue3en_US
dc.identifier.startpage160en_US
dc.identifier.trdizinid406203en_US
dc.identifier.urihttps://doi.org/10.19128/turje.518636
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9975
dc.identifier.volume8en_US
dc.identifier.wosWOS:000477726000001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorUysal, İbrahim
dc.language.isoenen_US
dc.publisherMehmet Tekereken_US
dc.relation.ispartofTurkish Journal Of Educationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectExploratory Factor Analysisen_US
dc.subjectFactor Retentionen_US
dc.subjectParallel Analysisen_US
dc.subjectMinimum Average Partialen_US
dc.subjectDETECTen_US
dc.titleComparison of factor retention methods on binary data: A simulation studyen_US
dc.typeArticleen_US

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