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Book
Connecting college students to alternative sources of support : the Single Stop Community College Initiative and postsecondary outcomes
Authors: --- --- --- ---
Year: 2020 Publisher: Santa Monica, Calif. RAND Corporation

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Single Stop U.S.A.'s Community College Initiative was designed to improve the well-being of low-income communities by connecting individuals to public benefits and other institutional and community resources to address nonacademic barriers to college completion. Through offices located on community college campuses, Single Stop provides students with a range of free services, including screenings and applications for public benefit programs; tax services, financial counseling, and legal services; and case management with referrals to a wide variety of resources and support programs across the institution and community. This report presents an evaluation of the Single Stop program and its impact on students' postsecondary outcomes. The authors examined the Single Stop program at four community college systems: Bunker Hill Community College, City University of New York, Delgado Community College, and Miami Dade College. The analysis indicates that use of Single Stop was associated with improved postsecondary outcomes. The findings suggest that access to alternative financial resources from government benefit programs alongside a network of institutional and community support programs can offer valuable support to college students.


Book
Resources Required to Meet the U.S. Army's Enlisted Recruiting Requirements Under Alternative Recruiting Goals, Conditions, and Eligibility Policies

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Mathematics audit of the DoDEA schools, 2014-2015
Authors: --- --- --- --- --- et al.
Year: 2016 Publisher: Santa Monica, CA : RAND Corporation,

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"In 2009, the Department of Defense Education Activity (DoDEA) adopted a set of mathematics standards and developed its mathematics program (including adopting textbooks, assessments, etc.) to align with those standards. In 2012, in order to be more consistent with the curricula found in U.S. public schools, DoDEA adopted the Common Core State Standards in mathematics (which they refer to as the College and Career Ready Standards [CCRS]). The transition to CCRS began in the 2014-2015 school year. In order to prepare for the transition, the RAND Corporation was asked to conduct an audit of the DoDEA mathematics program, which was built around the 2009 standards. The audit was designed to (1) assess the degree to which best practices from research were in evidence in eight specific areas related to mathematics instruction, professional development, and science, technology, engineering, and mathematics (STEM) opportunities and (2) explore the extent to which existing practices in the eight areas support the implementation of CCRS. RAND researchers visited 25 DoDEA schools in nine districts, interviewed principals and teachers, and observed mathematics lessons; RAND researchers also interviewed administrators, superintendents, instructional support specialists in area offices and at DoDEA HQ. The study found considerable variation in the extent to which the current DoDEA mathematics program reflected best practices, and also identified a number of challenges for DoDEA to overcome in implementing CCRS mathematics standards. The report makes recommendations for short-term and long-term implementation strategies"--Publisher's web site


Book
Launching a redesign of university principal preparation programs

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School principals are charged with complex responsibilities that can include developing a school vision and culture, supporting teacher effectiveness, managing challenges and crises, communicating with the greater community, and more. However, recent research and surveys of school administrators indicate that principal preparation programs do not adequately prepare graduates to cope with school realities. In response to concerns about the state of initial principal preparation, The Wallace Foundation established the University Principal Preparation Initiative (UPPI), a four-year effort to redesign seven universities' principal preparation programs according to evidence-based principles and practices. Each university collaborates on the redesign with high-need school districts and a state partner, and is supported by a mentor program. This report focuses on the implementation of UPPI in its first year, from fall 2016 to fall 2017. The authors report on UPPI progress and identify cross-cutting themes in the UPPI implementation effort that can help other university principal preparation programs and their partners undertake their own principal preparation system improvement efforts.


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Developing a national recruiting difficulty index

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The U.S. Army has long recognized that the recruiting environment has a significant impact on its ability to recruit. Successfully achieving a mission goal is tremendously more difficult when the national unemployment rate is lower rather than higher. Additionally, when casualty rates increase or operational difficulties mount, recruiting difficulty worsens. The RAND Arroyo Center has built a forecasting model that provides a measure of the recruiting difficulty with up to a 24-month horizon. The recruiting difficulty index model consists of seven equations. Three of the equations are for outcomes reflecting recruiting difficulty, and four equations are related to the recruiting process and reflect decisions made by the Army in an ongoing effort to meet recruiting targets. The model's structure is as follows. First, the exogenous variables can affect all seven outcome variables. Second, the policy response variables-quick-ship bonuses, Military Occupational Specialty bonuses, duty recruiters, and conduct waivers-can be entered as explanatory variables in the equations indicating recruiting difficulty (in terms of the percentage difference between graduate-alpha contracts and mission, average months in the Delayed Entry Program [DEP], and training seat fill rate). Third, the criterion of mean-squared prediction error is used when estimating the model in deciding which variables to include as explanatory variables in each equation and whether lagged values of the dependent variables should be included in the explanatory variables (and, if so, how many lags). The resulting seven-equation model forecasts whether the Army is likely to face a difficult or easy recruiting environment.

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