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Showing 61 to 75 of 107 results
Perez, Maria; Anand, Priyanka; Speroni, Cecilia; Parrish, Tom; Esra, Phil; Socias, Miguel; Gubbins, Paul – American Institutes for Research, 2007
This report presents the results from a seven-month study of successful schools in California performed by the American Institutes for Research (AIR). It explored some of the concepts underlying the "successful schools" approach to defining education adequacy and considered their implications for analyzing educational adequacy in California. The…
Descriptors: Educational Objectives, Educational Finance, Outcomes of Education, Academic Achievement
McDonald, Nancy – American Institutes for Research, 2007
Guiding Principles to Manage Scholarship Programs represents an overall approach to implementing scholarship programs so as to maximize the learning opportunities to students and families who receive scholarships. Thirteen guiding principles for girls' scholarship programs are described herein. They are: (1) Research is used to identify cultural…
Descriptors: Communication Strategies, Females, Outreach Programs, Community Support
Daro, Phil; Stancavage, Frances; Ortega, Moreica; DeStefano, Lizanne; Linn, Robert – American Institutes for Research, 2007
In Spring 2006,. the NAEP Validity Studies (NVS) Panel was asked by the National Center for Education Statistics (NCES) to undertake a validity study to examine the quality of the NAEP Mathematics Assessments at grades 4 and 8. Specifically, NCES asked the NVS Panel to address five questions: (1) Does the NAEP framework offer reasonable content…
Descriptors: National Competency Tests, Mathematics Achievement, Adaptive Testing, Quality Control
Beaton, Albert E.; Chromy, James R. – American Institutes for Research, 2007
Fundamental to statistical analyses is the comparison of means of one variable from two or more populations. Population samples may be constructed (i.e., experimental and control groups), or they may be natural groupings (i.e., students at a particular grade in different years). If the populations are similar, the mean comparisons are…
Descriptors: Control Groups, Academic Achievement, Statistical Analysis, Comparative Analysis
Grissmer, David – American Institutes for Research, 2007
The NAEP Validity Studies (NVS) Panel provides advice and recommendations to help insure the "validity" of the National Assessment of Educational Progress (NAEP) test scores. The primary objectives of NAEP tests are to accurately monitor the progress of defined groups of students over time and to measure valid differences in scores between …
Descriptors: Testing, School Involvement, Academic Achievement, Validity
Phillips, Gary W. – American Institutes for Research, 2007
Educators, researchers, and policymakers have considerable interest in how the American educational system compares to those in other countries. One major index for comparison is student academic achievement. This paper links the scale of the "National Assessment of Educational Progress" ("NAEP") to the scale of the "Third International…
Descriptors: Measures (Individuals), Science Achievement, National Competency Tests, Advanced Students
Kennelly, Louise; Monrad, Maggie – American Institutes for Research, 2007
This report, produced by the National High School Center at the American Institutes for Research, outlines steps that schools can take to identify at-risk students and provide the necessary support systems and relevant interventions to assist students in obtaining a high school diploma. Further, the report discusses the use of early warning data…
Descriptors: High School Students, Dropout Prevention, Dropouts, High Risk Students
Kirshstein, Rita J.; Kadamus, James A. – Delta Cost Project at American Institutes for Research, 2012
High-end amenities like rock climbing walls on college campuses have become an easy target for those attempting to explain rising tuitions. This Delta Perspective looks beyond the media attention surrounding these "frills" to examine more serious questions about spending on campus facilities, college spending in general, and the real drivers of…
Descriptors: Higher Education, Educational Finance, Campuses, Student Experience
Desrochers, Donna M.; Kirshstein, Rita J. – Delta Cost Project at American Institutes for Research, 2012
Two years after the onset of the Great Recession, nonprofit colleges and universities found themselves struggling with their finances. Average per-student spending on academics declined in fiscal year (FY) 2010, and despite per-student spending cuts to prerecession levels at four-year institutions, students shouldered a larger share of the cost…
Descriptors: Higher Education, Educational Finance, Economic Climate, Expenditure per Student
Delta Cost Project at American Institutes for Research, 2012
This brief summarizes Internet-based research into other industries that may offer useful analogies for thinking about student attrition in higher education, in particular for setting realistic benchmarks for reductions in attrition. Reducing attrition to zero or close to zero is not a realistic possibility in higher education. Students are…
Descriptors: Higher Education, Student Attrition, Industry, Benchmarking
Wellman, Jane; Johnson, Nate; Steele, Patricia – Delta Cost Project at American Institutes for Research, 2012
The collision between funding realities and the paramount goal of increasing educational attainment has brought new attention to ways to reduce postsecondary attrition and get more students who enroll in college to complete a degree or credential. Reductions in attrition are both educationally effective and cost effective. Students reach…
Descriptors: Student Attrition, Credits, Educational Attainment, Methods
Yanagiura, Takeshi – Delta Cost Project at American Institutes for Research, 2012
This instruction manual explains in detail how to use the Attrition Cost Model program, which estimates the cost of student attrition for a state's higher education system. Programmed with SAS, this model allows users to instantly calculate the cost of attrition and the cumulative attrition rate that is based on the most recent retention and…
Descriptors: Student Attrition, Higher Education, Academic Persistence, Graduation Rate
Johnson, Nate – Delta Cost Project at American Institutes for Research, 2012
Previous research on attrition has focused on the economic consequences of low graduation rates in terms of costs to students and families (from tuition and fees that do not culminate in a credential), lost time, and income and tax losses from low educational attainment in the workforce. However, no systematic attention has been given to another…
Descriptors: Higher Education, Student Attrition, Credits, Educational Attainment
Kirshstein, Rita J. – Delta Cost Project at American Institutes for Research, 2012
Like many of her classmates, the author was a first-generation student, but that meant something quite different in the late 1960s than it does now. When she attended, college, the jobs parents had with high school degrees allowed them to provide considerable support for college educations. Paying for college was difficult but not as difficult as…
Descriptors: Student Financial Aid, Paying for College, Public Colleges, Private Colleges
Hurlburt, Steven; Kirshstein, Rita J. – Delta Cost Project at American Institutes for Research, 2012
This is one in a series of data briefs developed by the Delta Cost Project at AIR using data from the "IPEDS Analytics: Delta Cost Project Database 1987-2010," which was released on August 14, 2012, by the U.S. Department of Education, National Center for Education Statistics. The intent of these briefs is to update key tables and figures from…
Descriptors: Enrollment, Educational Finance, Expenditures, Hospitals


