Comparative analysis of models in confirmatory factor analysis: Exploring clinical applications and interpretation

Basit Öğe Kaydı
dc.contributor.authorİnceoğlu, Feyza
dc.contributor.authorYoloğlu, Saim
dc.contributor.authorKanık, Arzu Emine
dc.date.accessioned2024-08-04T19:53:21Z
dc.date.available2024-08-04T19:53:21Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractTo demonstrate the explainability of the scales with fewer dimensions instead of the number of existing dimensions by ensuring that the scale structures created by explanatory factor analysis (EFA) are verified with confirmatory factor analysis (CFA). Data from the Nutritional Behavior Scale in Children, answered by the parents of 204 children with autism spectrum disorder (ASD) were used. EFA was performed with the data obtained from the scale. In the next step, the explained variance percentages and dimensions were determined and the model goodness of fit indexes were calculated with CFA. The dimensions with the lowest explained variance percentages were removed from the model, respectively, and three different scale models were tested. The variance explanation percentage of the first eight-dimensional model created with EFA was calculated as 72.68%. The food fussiness sub-dimension was removed and CFA was applied to the model again and new indices were calculated. Finally, the emotional under-eating sub-dimension was excluded from the model, resulting in a six-dimensional Child Eating Behavior Scale (CEBS). Goodness-of-fit indices of the CFA model established with six dimensions were ?2 / df; 1.545, AIC; 715,433 and RMSEA; 0.052 was found. It has been shown that the eight, seven, and six-dimensional scale models constructed according to the percentages of variance explained for CEBS are sufficient to explain the sample and that the six-dimensional scale model can be used for CEBS. Our study is the first to use competing models in confirmatory factor analysis in reducing scale dimensions.en_US
dc.identifier.doi10.5455/medscience.2022.12.278
dc.identifier.endpage568en_US
dc.identifier.issn2147-0634
dc.identifier.issue2en_US
dc.identifier.startpage562en_US
dc.identifier.trdizinid1186371en_US
dc.identifier.urihttps://doi.org/10.5455/medscience.2022.12.278
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1186371
dc.identifier.urihttps://hdl.handle.net/11616/89704
dc.identifier.volume12en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofMedicine Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleComparative analysis of models in confirmatory factor analysis: Exploring clinical applications and interpretationen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu