Analysis of Factors Predicting Students' Mathematics Achievement According to 2018 PISA Data

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dc.contributor.authorBarun, Merve Nur
dc.contributor.authorSülkü, Seher Nur
dc.date.accessioned2025-02-06T18:07:08Z
dc.date.available2025-02-06T18:07:08Z
dc.date.issued2024
dc.departmentAltınbaş Üniversitesien_US
dc.description.abstractThis study aims to determine the factors affecting students’ success in mathematics with PISA 2018 Data-Turkey covering 4473 students out of 6890. The factor analysis is applied to a wide range of 52 variables, including the number of weekly lessons in language, mathematics, and science courses to satisfaction with life, 14 factors are identified. After that, the multiple regression model is derived to find out the determinants of students’ success in mathematics. Besides these 14 factors, the gender of the students and the educational status of the parents are considered explanatory variables. Firstly, it is found that males and those whose fathers have higher levels of education have higher performance in mathematics. Among the factors, the wealth of family, use of information and communication technologies both outside and at the school, time spent to learn mathematics and science, perception of reading comprehension, and perception of cooperation at school are significantly positively associated with a student’s success. Furthermore, facing discrimination and bullying decreases student success in mathematics. The family's socioeconomic status and access to information-communication technologies are the most important determinants of student success. Finally, it is recommended that reasonable support should be given to disadvantaged students for providing equal opportunity.en_US
dc.identifier.doi10.15659/3.sektor-sosyal-ekonomi.24.08.2391
dc.identifier.endpage1325en_US
dc.identifier.issn2148-1237
dc.identifier.issn2587-0114
dc.identifier.issue3en_US
dc.identifier.startpage1301en_US
dc.identifier.trdizinid1266607
dc.identifier.urihttps://doi.org/10.15659/3.sektor-sosyal-ekonomi.24.08.2391
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1266607
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5390
dc.identifier.volume59en_US
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.relation.ispartofÜçüncü Sektör Sosyal Ekonomien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_TR-Dizin_20250206
dc.subjectPISAen_US
dc.subjectFactor Analysisen_US
dc.subjectRegression Analysisen_US
dc.subjectStudent Successen_US
dc.subjectPrincipal Component Analysis Methoden_US
dc.titleAnalysis of Factors Predicting Students' Mathematics Achievement According to 2018 PISA Dataen_US
dc.typeArticleen_US

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