Education is seen as a resource at a global level but is currently considered to be in crisis in many parts of the world. This constitutes a significant drawback in terms of humanity's prosperity and well-being since education is the key not only to an educated workforce but also to humane, collaborative, and caring societies. Even within this dim…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…

The acquisition of early literacy skills prior to school can positively influence later educational outcomes. However, children from culturally and economically disadvantaged backgrounds often lack stimulating educational activities at home. This analysis provides empirical evidence for 31 education systems on the association between parental…

Educational outcomes across multiple countries show large gaps between children's grade level curricular expectations and the actual learning levels of children. This paper discusses findings from an early grades literacy study and attempts to explore factors that potentially improve the English language learning results of Grades 3 and 4 learners…

Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…

This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It mainly provides information specific to the fourth-grade round of data collection. The first chapter provides an overview of the…

This comprehensive volume offers a snapshot profile of every public school district in the United States serving 1,500 or more students and provides pertinent evaluative and demographic statistics necessary to evaluate educational programs nationwide. This edition includes profiles on 5,797 school districts in the United States, representing 90%…

This research study explored the relationship that exists between National Board certified teachers (NBCTs) and the reading achievement of students in third through fifth grade in comparison to non-NBCTs as measured by EVAAS growth data. Additional research questions analyzed which elements contained in the five core propositions participants…

Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…

Federal regulations indicate that the achievement gap must be closed between subgroups, including the gap between special education and non-special education students. We explored the ways in which achievement trends are influenced by three methods of reporting (cross-sectional, cohort-static, and cohort-dynamic). We also investigated (a) the ways…

Although International Association for the Evaluation of Educational Achievement-pioneered international large-scale assessment (ILSA) of education is now a well-established science, non-practitioners and many users often substantially misunderstand how large-scale assessments are conducted, what questions and challenges they are designed to…

Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…

Results from international large-scale assessments (ILSAs) garner considerable attention in the media, academia, and among policy makers. Although there is widespread recognition that ILSAs can provide useful information, there is debate about what types of comparisons are the most meaningful and what could be done to assure more sound…