Preface to the special issue
Yükleniyor...
Dosyalar
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Large-scale assessments, such as Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA), provide big data in the educational context. A researcher who wants to conduct a secondary analysis using this big data has to notice that analyses of this type of data require considering some technical complexities. Among these complexities are incomplete test designs, sample weights, stratified sampling, and conducting the analyses and calculating the standard errors with respect to this sampling methodology. Information on these technical details is provided in the international reports of the corresponding assessments, and also in the related literature (e.g., Olson, Martin, & Mullis, 2008; OECD, 2005; OECD, 2009; Rutkowski, Gonzalez, Joncas, & von Davier, 2010). The aim of this special issue of Education and Science is not to provide definitive explanation of these technical complexities; rather, it is to constitute an educational resource which brings together studies that consider this complexity in their own right. In addition, this special issue also includes papers on methodologies that can be used in large-scale assessments. After almost a ten-month of intensive work we are glad that we can share this special issue consisting of 12 papers.
Açıklama
Anahtar Kelimeler
Eğitim, Eğitim Araştırmaları
Kaynak
Eğitim ve Bilim
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
39
Sayı
172
