This study examines the use of cross-classified random effects models (CCrem) and cross-classified multiple membership random effects models (CCMMrem) to model rater bias and estimate teacher effectiveness. Effect estimates are compared using CTT versus item response theory (IRT) scaling methods and three models (i.e., conventional multilevel…

English learners' (ELs) day-to-day experiences in school change when reclassified as fully English proficient. Prior research, however, is mixed on how reclassification influences outcomes. Many studies also do not or cannot explore key long-term outcomes or identify impacts over time. In this study I leverage longitudinal student data in a…

Individual growth curves yield insights about growth that are not available from any other methodology; and developmental scales based on conjoint measurement models provide unique interpretive advantages for investigations of academic growth. The advantages are apparent when: (1) 15 consecutive statewide reading growth curves are annotated with…

A vertical scale, in principle, provides a common metric across tests with differing difficulties (e.g., spanning multiple grades) so that statements of "absolute" growth can be made. This paper compares 16 states' 2007-2008 effect size growth trends on vertically scaled reading and math assessments across grades 3 to 8. Two patterns…