This paper proposes a teacher effect change model in the form of a latent variable regression 5-level hierarchical model (LVR-HM5). Using multiple years of student achievement data, the LVR-HM5 attempts to simultaneously estimate teacher effect as well as teacher initial status and the gap parameter to model the change of such latent parameters…

Value-added models and growth-based accountability aim to evaluate school's performance based on student growth in learning. The current focus is on linking the results from value-added models to the ones from growth-based accountability systems including Adequate Yearly Progress decisions mandated by No Child Left Behind. We present a new…

Effective schools should be superior in both enhancing students' achievement levels and reducing the gap between high- and low-achieving students in the school. However, the focus has been placed mainly on schools' achievement levels in most school effect studies. In this article, we focused our attention upon the school-specific achievement…

Uses longitudinal study of differences between boys and girls in levels of mathematics and science achievement across grades 7 through 10 to extend hierarchical modeling to allow for regression among latent variables using a fully Bayesian approach. (Contains 30 references.) (PKP)