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Parise, Leigh M.; Corrin, William; Granito, Kelly; Haider, Zeest; Somers, Marie-Andrée; Cerna, Oscar – MDRC, 2017
While high school graduation rates are on the rise nationwide, too many students still never reach that milestone, with 7,000 on average dropping out every day. Recognizing that many students need additional support to succeed in school, Communities In Schools (CIS) works to provide and connect students with integrated support services to keep…
Descriptors: Caseworker Approach, Randomized Controlled Trials, Academic Support Services, Student Personnel Services
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Somers, Marie-Andrée; Zhu, Pei; Jacob, Robin; Bloom, Howard – MDRC, 2013
In this paper, we examine the validity and precision of two nonexperimental study designs (NXDs) that can be used in educational evaluation: the comparative interrupted time series (CITS) design and the difference-in-difference (DD) design. In a CITS design, program impacts are evaluated by looking at whether the treatment group deviates from its…
Descriptors: Research Design, Educational Assessment, Time, Intervals
Bloom, Howard S.; Richburg-Hayes, Lashawn; Black, Alison Rebeck – MDRC, 2005
This paper examines how controlling statistically for baseline covariates (especially pretests) improves the precision of studies that randomize schools to measure the impacts of educational interventions on student achievement. Part I of the paper introduces the concepts, issues, and options involved. Parts II and III present empirical findings…
Descriptors: Program Effectiveness, Reading Achievement, Mathematics Achievement, Research Methodology