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Variation in treatment effects has important implications for education practice—and for facilitating the most efficient use of limited resources—by informing decisions about how best to target interventions and how to improve the design or implementation of interventions....
Persistent link: https://www.econbiz.de/10011100672
Describes sources of information about Job Corps, expectations, and experiences with the program's outreach and admissions system; also provides information that may help interpret impact estimates and improve program operations.
Persistent link: https://www.econbiz.de/10011100699
For randomized controlled trials (RCTs) of education interventions, estimates of associations between student and mediating teacher practice outcomes can help examine the extent to which the data support the study's conceptual model. They can also identify mediators most associated with student...
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The final report to Congress presents complete findings from our seven-year national evaluation of Early Head Start. The findings show that the program promotes learning and the parenting that supports it within the first three years of life. Participating children perform significantly better...
Persistent link: https://www.econbiz.de/10011144661
This paper presents findings from an experimental evaluation of Job Corps, the nation’s largest training program for disadvantaged youths. The study used survey data collected over four years, as well as tax data collected over nine years, for a nationwide sample of 15,400 treatments and...
Persistent link: https://www.econbiz.de/10011144809
For randomized control trials (RCTs) of education interventions, it is often of interest to estimate associations between student and mediating teacher practice outcomes, to examine the extent to which a study’s conceptual model is supported by data, and to identify mediators most...
Persistent link: https://www.econbiz.de/10011144865
To improve precision of estimated treatment effects, education randomized control trials (RCTs) often use pretest–post-test experimental designs. For logistical reasons, however, pretest data often are collected after random assignment, so including them in the analysis could bias...
Persistent link: https://www.econbiz.de/10011144908