Using school-level student achievement to engage in formative evaluation: comparative school-level rates of oral reading fluency growth conditioned by initial skill for second grade students

摘要: We present a method for data-based decision making at the school level using student achievement data. demonstrate potential of national assessment database [i.e., University Oregon DIBELS Data System (DDS)] to provide comparative levels school-level data on average gains. Through DDS as source, and analytic methods we outline, illustrate one way that schools can engage in system-level formative evaluation by examining their students’ gains across an academic year conditional initial skill relative performance large sample other schools. empirical Bayes estimates effects associated standard errors second grade, oral reading fluency percentile band plot. practical could use this output improve procedures.