This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…

Adjustment methods such as propensity scores and analysis of covariance are often used for estimating treatment effects in nonexperimental data. Shadish, Clark, and Steiner used a within-study comparison to test how well these adjustments work in practice. They randomly assigned participating students to a randomized or nonrandomized experiment.…

Describes the process used to identify a rare sample of U.S. public secondary schools, those that are divided into "schools-within-schools" and provides descriptive information about the 55 schools of that kind that were found in a national search in fall 1998. Offers some tentative conclusions about the school-within-school reform approach. (SLD)

The extent to which students with disabilities are represented in national data collection programs was investigated by reviewing nine such programs that are receiving attention in current educational reform initiatives. Results suggest that 40-50% of students with disabilities are excluded from these prominent data collection programs. (SLD)