Sosyoekonomik Düzeyin Akademik Başarı Üzerindeki Etkisi: PISA’dan Kanıtlar

Bu araştırmanın amacı PISA 2018 Türkiye örneklemi bağlamında ekonomik, sosyal ve kültürel düzey indeksi (ESCS) ile akademik başarı arasındaki yordayıcılık ilişkisini incelemektir. Araştırma nicel araştırma yöntemlerinden ikincil veri analizi yöntemiyle gerçekleştirilmiştir. Bu doğrultuda PISA 2018 uygulaması kapsamında Türkiye örneklemine ilişkin elde edilmiş veri seti üzerinden yeni ve farklı araştırma soruları bağlamında ileri analizler yürütülmüştür. Araştırmanın örneklemini Türkiye’de 2018 yılında 15 yaş grubu içerisinde yer alan ve örgün eğitime devam eden öğrencilerden seçkisiz tabakalı örnekleme yoluyla iki aşamalı olarak seçilen, 12 bölgeyi temsil eden 186 okul ve bu okulları temsil eden 6890 öğrenci oluşturmaktadır. Araştırmadan elde edilen bulgularda ESCS indeksinin hem devlet okul hem de özel okullar bağlamında öğrencilerin okuma, matematik ve fen puanlarının önemli yordayıcısı olduğu tespit edilmiştir. Elde edilen bulgulara göre ESCS indeksi özel okullar bağlamında akademik başarının daha etkili bir yordayıcısıdır. ESCS alt değişkenleri açısından bilişim kaynakları indeksinin üç puan türünde de akademik başarının anlamlı bir yordayıcısı olduğu görülmüştür. Bilişim kaynakları indeksinin diğer alt değişkenler olan eğitim kaynakları indeksi, ebeveyn eğitim düzeyi ve ebeveyn mesleki düzeyine kıyasla akademik başarının açılanmasında daha etkili bir yordayıcı olarak ortaya çıkması araştırmadan elde edilen önemli bulgular arasındadır.

The Effect of Socioeconomic Level on Academic Achievement: Evidence from PISA

This research aims to examine the predictive relationship between the economic, social and cultural level index (ESCS) and academic achievement in the context of PISA 2018 Turkey sample. Research used secondary data analysis, a quantitative research method. In this regard, advanced analyzes were carried out in line with the new and different research questions on the data set obtained for the Turkish sample within the scope of PISA 2018. The sample of the research consists of 186 schools representing 12 regions and 6890 students representing these schools, which were selected in two stages by random stratified sampling from students in the 15-age group and continuing formal education in 2018. The findings revealed that the ESCS index is an important predictor of students' reading, mathematics and science scores in terms of both public and private schools. According to the findings, ESCS index explains greater variance in terms of academic achievement within the sample of private schools. The research also showed that the ICT resources index has emerged as a more effective predictor of academic success compared to the other sub-variables of ESCS such as educational resources index, parent education level and parent professional level.

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