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Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
McCormick, Meghan – MDRC, 2019
This post is one in a series highlighting MDRC's methodological work. Contributors discuss the refinement and practical use of research methods being employed across MDRC. Part I of this two-part post discussed MDRC's work with practitioners from the Boston Public Schools (BPS) Department of Early Childhood to construct valid and reliable measures…
Descriptors: Fidelity, Program Implementation, Research Methodology, Educational Research
Rutschow, Elizabeth Zachry; Richburg-Hayes, Lashawn; Brock, Thomas; Orr, Genevieve; Cerna, Oscar; Cullinan, Dan; Kerrigan, Monica Reid; Jenkins, Davis; Gooden, Susan; Martin, Kasey – MDRC, 2011
In 2004, Lumina Foundation for Education launched "Achieving the Dream: Community Colleges Count," a national initiative aimed at improving success among community college students, particularly low-income students and students of color. Now encompassing more than 130 institutions in 24 states and the District of Columbia, Achieving the…
Descriptors: Research Methodology, Program Descriptions, Student Characteristics, College Administration