Identifying sources of variation has been used extensively in educational research as a tool to identify potential drives of variances in student achievement. However, prior research predominantly relied on findings from national- or international-level data, and thus their conclusions remain very broad-based. This study contributes new insight by…

The Matthew effect, where good readers get increasingly better over time compared to relatively lower-ability readers, is an often cited phenomenon in reading research. However, researchers have not always found empirical evidence supporting a Matthew effect. We used hierarchical growth curve modeling to test for the presence of the Matthew effect…

Much of the achievement gap between rich and poor students can be attributed to out-of-school factors, yet few schools have a comprehensive, coordinated system for addressing students' nonacademic needs. Within a group of Catholic schools located in one city, this study examined academic achievement on the Stanford Achievement Test battery in…

Prior research has documented that classroom-level variables have a significant effect on student outcomes; however, previous findings have typically focused on average student outcomes and have only recently begun to use hierarchical linear modeling techniques. The present study aimed to investigate the effects of classroom-level variables on the…

NCLB policies in the United States focus schools' efforts on implementing effective instructional processes to improve student outcomes. This study looks more specifically at how schools are perceived to be implementing state required curricula and benchmarks and developing teaching and learning processes that support the teaching of state…