Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle…

This study examines Arizona's restrictive language policy from the perspective of English learners (ELs) and reclassified fluent English proficient students who have been enrolled in the structured English immersion (SEI) model. While multiple scholars in the USA have analyzed Arizona's policy impact since its enactment in 2008, none to date have…

The stakes of large-scale testing programs have grown considerably in the past decade with the enactment of the No Child Left Behind (NCLB) and Race To The Top (RTTT) legislations. A significant component of NCLB has been required reporting of annual yearly progress (AYP) of student subgroups disaggregated by sex, special education status, English…

This article used several data sets from a large-scale state testing program to examine the feasibility of combining general and modified assessment items in computerized adaptive testing (CAT) for different groups of students. Results suggested that several of the assumptions made when employing this type of mixed-item CAT may not be met for…

This qualitative study explored Teach for America (TFA) alumni teachers' discourse on Arizona language policy, conducted with eight teachers in the Phoenix metropolitan area who received their professional teacher preparation from TFA, a national organization that uses alternative paths to certification to place teachers in low-income schools.…