Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…

Studies have shown that teachers' beliefs influence their assessment practices. However, the overarching framework of those beliefs in relation to teachers' classroom assessment confidence has been largely unexamined. This research explored teachers' conceptions of assessment and their confidence regarding the implementation of sound classroom…

Currently, mathematics education is focused on ensuring that students can apply the knowledge and skills they learn to everyday life; students are expected to develop their problem-solving abilities to face challenges by adopting various perspectives. When faced with a problem, students may employ different methods or patterns to solve it. If this…

It has been established since the 1960s that tracking yields negative consequences for students in lower tracks. As this research has been carried out mainly in the USA and UK, the effects of tracking have been demonstrated in systems of within-school tracking mostly. However, in many European countries--such as Belgium (Flanders)--tracking is…

Survey participation rates can have a direct impact on the validity of the data collected since nonresponse always holds the risk of bias. Therefore, the International Association for the Evaluation of Educational Achievement (IEA) has set very high standards for minimum survey participation rates. Nonresponse in IEA studies varies between studies…

Despite the extensive literature on educational innovations, there is only limited empirical research available into the impact of innovations on student achievement. In this article, the following research questions will be answered: What form do innovations in secondary education take, are there types of innovative schools, and what effect do…

This paper explores the interrelationships of the key influences on student satisfaction via multivariate analysis from three groups of university students in two popular private universities in Malaysia. The correlation coefficient and structural model indicated that student satisfaction is influenced not only by academic quality, but also by the…

The purpose of this study was to examine the degree of academic growth of Academically Unacceptable schools in Louisiana which have been assigned a Distinguished Educator. Distinguished Educators are external change agents who are placed in Academically Unacceptable schools in Louisiana. The data were generated from the Louisiana Department of…

This article addresses whether students' achievement motivation changes over time, the relationship between changes in motivation and changes in educational attainment, and the between-school differences in these changes and their interrelationships. Also gender differences were studied. Multivariate multilevel latent growth curve analysis was…

In the past decade in the United States, pre-kindergarten programs for four year olds have expanded rapidly as a potentially powerful intervention intended to promote school readiness for children at-risk for future school failure. This paper describes in detail multi-dimensional profiles of observed quality across 692 classrooms in 11 states…

Selected methods for evaluating the stability of research results empirically are described, especially with regard to multivariate analysis. It is critically important to evaluate the influences of sampling error on obtained results; statistical significance testing does not inform judgment regarding the probable replicability or the sampling…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

This report describes 12 studies dealing with the knowledge monitoring component of metacognition. It is assumed that knowledge monitoring is basic to other metacognitive activities, such as evaluating learning, selecting appropriate strategies, or planning, because distinguishing between what students know and do not know ought to be a…