Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…

International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…

The Programme for International Student Assessment (PISA) was designed by the Organization for Economic Cooperation and Development (OECD) to evaluate the quality, equity, and efficiency of school systems around the world. Specifically, the PISA has assessed 15-year-old students' reading, mathematics, and science literacy on a 3-year cycle, since…

Reports of international large-scale assessments tend to evaluate and compare education system performance based on absolute scores. And policymakers refer to high-performing and economically prosperous education systems to enhance their own systemic features. But socioeconomic differences between systems compromise the plausibility of those…

To help researchers understand potential issues one can encounter when conducting propensity matching studies in complex settings, this paper describes methodological complications faced when studying schools using deeper learning practices to improve college and career readiness. The study uses data from high schools located in six districts…

We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…

The study examined the role of classroom assessment and its relationships to student characteristics and mathematics performance by comparing the USA, Canada and Finland using Program of International Student Assessment (PISA) 2003 data. The results indicated that student individual characteristics such as gender, family social-cultural status,…

One of the most salient requirements for international educational research is the use of comparable measures. For the comparison of student performance across countries the use of item response theory (IRT) scaling techniques facilitates the collection of cross-nationally comparable measures. But there is also a need for valid and comparable…

The recent releases of two major international comparative studies that addressed mathematics--the Trends in International Mathematics and Science Study 2003 (TIMSS 2003) and the Program for International Student Assessment 2003 (PISA 2003)--provide opportunities and challenges for mathematics education researchers interested in using the…

As part of its mission, the International Association for the Evaluation of Educational Achievement (IEA) is committed to the development of the community of researchers who work in the area of assessment both nationally and internationally. The association also has a commitment to provide policymakers with the types of data and analyses that will…

One of the consistent findings of educational research studies is the effect of the students' family socio-economic background on their learning achievement. Consequently, international comparative studies emphasis the role of socio-economic background for determining learning outcomes. In particular, PISA results have been used to describe how…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…