2014
DOI: 10.12973/jesr.2014.42.6
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The factors that affect students’ scientific literacy according to PISA 2006 in Turkey

Abstract: Bu çalışmanın amacı Uluslararası Öğrenci Başarı Değerlendirme Programının (PISA) verilerine göre Türkiye'de fen okuryazarlığı ile duyuşsal faktörlerin incelenmesidir. PISA 2006 öğrenci anketinden fen bilimlerine verilen genel değer, fen bilimlerine verilen kişisel değer, fen bilimleri öğrencisi olarak kendini yeterli görme, fen bilimlerinde özgüven ve bilimsel sorulamaya verilen önem değişkenleri belirlenmiştir. Belirlenen bu değişkenlerin fen bilimleri okuryazarlığı üzerindeki etkisi cinsiyet ve okul türüne g… Show more

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Cited by 3 publications
(2 citation statements)
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“…In these studies, different models have been developed based on the latest technologies and building on previous work to statistically minimise errors. Multilevel approaches adopted in these models can be grouped into predictive regression (Anıl, 2009;Gülleroğlu, Bilican Demir, and Demirtaşlı, 2014;Thorpe, 2006;Tomul and Çelik, 2009;Xu, 2006;Yıldırım, 2009), structural equation (Akyüz and Pala, 2010;Anıl, 2008;Özer and Anıl, 2011;Usta and Çıkrıkçı-Demirtaşlı, 2014), and hierarchical linear models (Akyüz, 2014;Atar, 2014;Atar and Atar, 2012;Geske et al, 2006;Tavşancıl and Yalçın, 2015). However, in the literature, there are only a limited number of studies which have evaluated student achievement as a latent variable and analysed it based on patterns identified in variables by creating homogenous sub-classes (Finch and Marchant, 2013;Lin and Tai, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…In these studies, different models have been developed based on the latest technologies and building on previous work to statistically minimise errors. Multilevel approaches adopted in these models can be grouped into predictive regression (Anıl, 2009;Gülleroğlu, Bilican Demir, and Demirtaşlı, 2014;Thorpe, 2006;Tomul and Çelik, 2009;Xu, 2006;Yıldırım, 2009), structural equation (Akyüz and Pala, 2010;Anıl, 2008;Özer and Anıl, 2011;Usta and Çıkrıkçı-Demirtaşlı, 2014), and hierarchical linear models (Akyüz, 2014;Atar, 2014;Atar and Atar, 2012;Geske et al, 2006;Tavşancıl and Yalçın, 2015). However, in the literature, there are only a limited number of studies which have evaluated student achievement as a latent variable and analysed it based on patterns identified in variables by creating homogenous sub-classes (Finch and Marchant, 2013;Lin and Tai, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, we encounter studies on the effects of variables such as inquiry skills, self-efficacy or attitude on science process skills and scientific literacy (Çolak, 2014;Güçlüer, 2012;Shive, 2005). Furthermore, when the relevant studies are examined in terms of the sample group, these subjects are studied on students at different levels (primary, secondary, and university) (Çolak, 2014;Güçlüer, 2012;Gürses et al, 2015;Hartini et al, 2018;Karapınar, 2016;Sullivan, 2008;Usta & Çıkrıkçı-Demirtaşlı, 2014). However, no correlational studies that have addressed how these variables together affecting scientific literacy and identify their causal relationships.…”
Section: Significance Of the Researchmentioning
confidence: 99%