Author
Pei Zhu
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ResourceDesigning and Analyzing Studies That Randomize Schools to Estimate Intervention Effects on Student Academic Outcomes without Classroom-Level Information
This MDRC publication 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.
Research MethodsEducation -
ResourceStudying the Reliability of Group-Level Measures with Implications for Statistical Power: A Six-Step Paradigm
Many youth development programs aim to improve youth outcomes by raising the quality of social interactions occurring in groups such as classrooms, athletic teams, therapy groups, after-school programs, or recreation centers. As a result, evaluators are increasingly interested in determining whether such programs significantly improve “group quality.” This paper consider methods for studying the reliability of measures of group quality, with implications for the design of evaluation studies, and illustrates these methods using a large-scale data set on classroom observations.
Research MethodsTools