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Slama, Rachel; Haynes, Erin; Sacks, Lynne; Lee, Dong Hoon; August, Diane – American Institutes for Research, 2015
The present study was commissioned by the Massachusetts Department of Elementary and Secondary Education (ESE) to provide a profile of Massachusetts English Language Learners (ELLs) and policy recommendations for improving their outcomes. ESE was concerned about previous study findings that most of these learners exited ELL instructional programs…
Descriptors: English Language Learners, Profiles, Elementary Secondary Education, Statistical Distributions
Keaton, Patrick – National Center for Education Statistics, 2013
The Common Core of Data (CCD) is an annual collection of public elementary and secondary education data by the National Center for Education Statistics (NCES) in the Institute of Education Sciences of the U.S. Department of Education. The data presented in this report are selected from the three nonfiscal components of the Common Core of Data…
Descriptors: Statistical Analysis, Statistical Surveys, Elementary Secondary Education, Public Agencies
Pfleger, Ryan; Wiley, Kathryn – National Education Policy Center, 2012
The Colorado legislature has recently taken school discipline policies under review, pursuant to SB 11-133. To inform the discussion in Colorado as well as a national discussion about discipline, this report presents an analysis of the most complete set of Colorado discipline data. It adds to and reinforces existing studies, documenting some…
Descriptors: Student Behavior, Disproportionate Representation, Discipline Policy, Behavior Standards
Chambers, Jay G.; Brodziak, Iliana; Levin, Jesse; Cruz, Lisa – Strategic School Funding for Results, 2011
This Analysis Brief shows how per-pupil spending varies with student poverty (as measured by the percent of students eligible for free or reduced price lunch) across elementary, middle, and high schools in Pasadena Unified School District (PUSD). The authors have carried out separate analyses that make use of the California Standardized Account…
Descriptors: Expenditure per Student, Educational Finance, Resource Allocation, Strategic Planning
Gambino, Christine; Gryn, Thomas – US Census Bureau, 2011
This brief will discuss patterns of science and engineering educational attainment within the foreign-born population living in the United States, using data from the 2010 American Community Survey (ACS). The analysis is restricted to the population aged 25 and older, and the results are presented on science and engineering degree attainment by…
Descriptors: Educational Attainment, Community Surveys, Engineering Education, Science Education
Petrilli, Michael J.; Scull, Janie – Thomas B. Fordham Institute, 2011
The release of the latest results of the Programme for International Student Assessment (PISA) garnered all the usual headlines about America's lackluster performance and the rise of competitor nations. To be sure, the findings--that America's fifteen-year-olds perform in the middle of the pack in both reading and math--are disconcerting for a…
Descriptors: Low Achievement, Academic Achievement, Achievement Rating, Achievement Tests
Kelly, Patrick; Strawn, Julie – National Center for Higher Education Management Systems (NJ1), 2011
From 2000 to 2008, enrollments by recent high school graduates grew faster than enrollments by adults age 25 and older (25.3 percent v. 23.6 percent). Between 2009 and 2019, this trend is expected to reverse, with adult enrollments increasing by twice as much as enrollments by traditional age students (22.6 percent vs. 9.7 percent). This paper…
Descriptors: Enrollment Rate, Enrollment Trends, Enrollment Influences, Statistical Analysis
Woo, Jennie H. – National Center for Education Statistics, 2013
This Statistics in Brief examines three cohorts of recent college graduates 1 year after they attained their bachelor's degree. The graduation years for the three cohorts span a 15-year period: 1992-93, 1999-2000, and 2007-08. The latest cohort (2007-08) graduated in the midst of the 2008 recession. This Statistics in Brief first examines how…
Descriptors: Student Loan Programs, Debt (Financial), Loan Repayment, Paying for College
Isaacs, Julia B. – Brookings Institution, 2009
Nearly one in five children under age 18 lived in poor families in 2008, according to poverty statistics released by the Census Bureau in September 2009. Though high, this statistic does not capture the full impact of the economic downturn, which is expected to drive poverty even higher in 2009. However, updated poverty statistics will not be…
Descriptors: Poverty, Nutrition, Social Indicators, Welfare Recipients
Ewert, Stephanie – US Census Bureau, 2012
The relationship between educational attainment and economic outcomes is shaped by a variety of educational experiences, including field of training, length of time spent in school, and level of attainment. This report explores the relationship between educational attainment, field of training, and eventual occupation and earnings. The report also…
Descriptors: Educational Development, Economic Status, Educational Attainment, Educational Experience
Milnes, Annette; Pegrum, Karen; Nebe, Brett; Topfer, Alex; Gaal, Lisa; Zhang, Jessica; Hunter, Nicole – Australian Institute of Health and Welfare, 2011
This paper is the fourth in a series of national statistical reports on young people aged 12-24 years produced by the Australian Institute of Health and Welfare (AIHW). This report provides the latest available information on how Australia's young people are faring according to national indicators of health and wellbeing. Many young Australians…
Descriptors: Accidents, Social Support Groups, Physical Activities, Mental Disorders
Chambers, Jay G.; Levin, Jesse; Brodziak, Iliana; Chan, Derek – Strategic School Funding for Results, 2010
As a starting point for their analysis of equity, the authors begin their work here with an examination of the relationship between student performance, as measured by the California Academic Performance Index (API), and student needs, as measured by the percentage of students from low-income families (i.e., the percent of students eligible for…
Descriptors: Student Needs, Academic Achievement, School Districts, Personnel Data
Chambers, Jay G.; Levin, Jesse; Brodziak, Iliana; Chan, Derek – Strategic School Funding for Results, 2010
Using fiscal data provided by the finance office of the school district, and personnel data obtained from the California Basic Education Data System maintained by the California Department of Education (CDE), the authors present analyses to provide a foundation for local policymakers that may be used to assess whether there are inequities in the…
Descriptors: Student Needs, Academic Achievement, School Districts, Personnel Data

Krus, David J.; Liang, Kun-Hsia T. – Educational and Psychological Measurement, 1984
An algorithm for estimation of means and standard deviations or raw scores underlying table values of standard test scores is presented. An application of a computer program, operationalizing the suggested algorithm, is discussed within the framework of a comparison of estimated and known table values for sample Minnesota Multiphasic Personality…
Descriptors: Algorithms, Estimation (Mathematics), Scores, Standardized Tests
McCulloch, Linda – Montana Office of Public Instruction, 2004
Student/Teacher Ratios are calculated by dividing the fall enrollment count by the number of full-time equivalent teachers. Full-time equivalency (FTE) is the amount of time required to perform an assignment stated as a proportion of a full-time position, and computed by dividing the amount of time employed by the time normally required for a…
Descriptors: School Statistics, Public Education, Teacher Student Ratio, Enrollment Rate
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