This page provides granteee-level program performance data and data analysis derived from performance reports submitted by grantees under the Educational Opportunity Centers (EOC) program.

This volume of PISA 2009 results examines how human, financial and material resources, and education policies and practices shape learning outcomes. Following an introduction to PISA and a Reader's Guide explaining how to interpret the data, Chapter 1 presents a summary of features shared by "successful" school systems. Chapter 2 details how resources, policies and practices relate to student performance. Chapter 3 provides detailed descriptions and in-depth analyses of selected organisational features (how students are sorted into grades, schools, and programmes, school autonomy, etc.) of schools and systems and how those aspects affect performance. Chapter 4 describes and analyzes key aspects of the learning environment (behaviours, discipline, parental involvement, school leadership, etc.) and how they affect performance. The final chapter discusses the policy implications of the findings. Annexes provides detailed statistical data and technical background.

The National Education Longitudinal Study of 1988 (NELS:88) is a study that is part of the Longitudinal Studies Branch (LSB) program; program data is available since 1988 at . NELS:88 (https://nces.ed.gov/surveys/nels88/) is a longitudinal study that is designed to provide trend data about critical transitions experienced by students as they leave middle or junior high school, and progress through high school and into postsecondary institutions or the work force. A nationally representative sample of eighth-graders were first surveyed in the spring of 1988. A sample of these respondents were then resurveyed through four follow-ups in 1990, 1992, 1994, and 2000. Overall weighted response rate was unavailable as of December 2014. Key statistics produced from NELS:88 data can be used for policy-relevant research about educational processes and outcomes, for example: student learning; early and late predictors of dropping out; and school effects on students' access to programs and equal opportunity to learn.

In which post secondary institutions do graduates of WA public high schools enroll in the first year after HS graduation?

This report includes Graduation Outcomes as calculated by the New York State Education Department.

The New York State calculation method was first adopted for the Cohort of 2001 (Class of 2005). The cohort consists of all students who first entered 9th grade in a given school year (e.g., the Cohort of 2006 entered 9th grade in the 2006-2007 school year). Graduates are defined as those students earning either a Local or Regents diploma.

Based on the survey results of OECD's PISA 2000 programme, this report looks at: the extent to which the schools that students attend make a difference in performance; the relative impact of school climate, school policies and school resources on quality and equity; the relationship between the structure of education systems and educational quality and equity; and the effect of decentralisation and privatisation to school performance. It concludes with a summary of how school factors relate to quality and equity, and the implications for policy. The analysis and data cover almost all OECD countries and 14 additional non-OECD countries.

Mission statements and role documents of medical schools in the United Kingdom, United States, Canada and Australia have been examined on their Internet Web sites and categorised in purpose, content and presentation. The format and content are highly variable, but there is a common vision of three integral roles, namely, education, advancement of knowledge and service to society. Other frequent themes include tradition and historical perspective, service for designated communities, and benchmarking to accreditation standards. Differences in content reflect variable interpretation of the notion of "mission", and local or national characteristics such as institutional affiliations, the types, levels and organisation of medical education, relationships with health systems, and extent of multi-professional education. Outcomes data and measures of medical school performance referenced to the institution's stated missions are rarely encountered. Mission documents placed on the Internet are in the public domain. These Web sites and documents and linked information constitute a valuable new resource for international exchange of approaches and ideas in medical education and generally in academic medicine. Routine inclusion of outcome or performance data could help to demonstrate the community roles and social accountability of medical schools This paper proposes that partial standardisation of these Web documents could enhance their value both internally and for external readers. A generic descriptive statement template is offered.

What are the median earnings of high school graduates in the years following high school graduation in each industry group (6 Digit NAICS)?

What percentage of high school graduates persist/retain in post secondary institutions after the first year of post secondary enrollment?

This fourth volume of PISA 2012 results examines how student performance is associated with various characteristics of individual schools and of concerned school systems. It discusses how 15-year old students are selected and grouped into different schools, programmes, and education levels, and how human, financial, educational and time resources are allocated to different schools. The volume also examines how school systems balance autonomy with collaboration, and how the learning environment in school shapes student performance. Trends in these variables between 2003 and 2012 are examined when comparable data are available, and case studies, examining the policy reforms adopted by countries that have improved in PISA, are presented throughout the volume.

What percent of high school graduates enrolled in post secondary institutions in the first year after graduation?

What percentage of first year college students enroll in remedial (pre-college) courses?

What are the median earnings of high school graduates in the first fifteen years following high school graduation?

The National Reporting System (NRS) for Adult Education, 2017-18 (NRS 2017-18) is a performance accountability system for the national adult education program that is authorized under the Adult Education and Family Literacy Act (AEFLA), title II of the Workforce Innovation and Opportunity Act (WIOA) of 2014. More information about the program is available at https://www2.ed.gov/about/offices/list/ovae/resource/index.html. NRS 2017-18 is a cross-sectional data collection that is designed to monitor performance accountability for the federally funded, state-administered adult education program. States are required to submit their progress in adult education and literacy activities by reporting data on the WIOA primary indicators of performance for all AEFLA program participants who receive 12 or more hours of service, as well as state expenditures on the adult education program. States may also report on additional, optional secondary measures that include outcomes related to employment, family, and community. The data collection is conducted using a web-based reporting system. NRS 2017-18 is a universe data collection activity, and all states are required to submit performance data. Key statistics that are produced from the data collection include student demographics, receipt of secondary school diploma or a high school equivalency (HSE) credential, placement in postsecondary education or training, measurable skill gain, and employment outcomes.

In which post secondary sectors (private/public, 2 Year / CTC / 4 Year, in-state/out of state) do high school graduates enroll in the first year after graduation?

What percentage of high school graduates complete a post secondary credential between two and eight years of high school graduation?

This report reviews the collection, availability and quality of system-level data and metadata on education from countries participating in the PISA for Development project: Cambodia, Ecuador, Guatemala, Paraguay, Senegal and Zambia. PISA for Development aims to increase low income countries’ use of PISA assessments for monitoring progress towards national goals for improving education and for analysing the factors associated with student learning outcomes, particularly among poor and marginalised populations. The project also helps track progress towards the international education targets defined in the Education 2030 Framework for Action, which the international community adopted in 2015 as the strategy for achieving the Education Sustainable Development Goal (SDG). The report suggests technically sound and viable options for improving data quality, completeness and international comparability in the six countries that are reviewed. It also provides insights into overcoming some of the challenges common to countries that participate in PISA for Development and to other middle income and low income countries.

This report reviews recent trends in international migration, describing the size of current foreign-born populations across countries and analysing factors associated to the size and nature of these populations, reviews a set of important differences and similarities across educational systems and gives a brief description of population sizes across countries. It also provides an overview of the evidence emerging from PISA 2009 on the performance and socio-economic background of children of immigrants. Who are the children of immigrants? What do they know and what can they do? How do they differ from other students? Do they approach school and learning in a different way? It examines more closely the issue of assessment language proficiency among immigrant students and its possible impact on cognitive outcomes in PISA. It explores the effect of age at arrival on the performance of immigrant students in the PISA tests of literacy.Selective migration policies of certain countries and the attractiveness of these countries generally to highly educated migrants is also explored. It also discusses the future educational and professional career of the children of immigrant related to their performance in PISA. Does the skill and knowledge disadvantage at age 15 translate into a disadvantage in later educational outcomes? For example, are those children of immigrants less likely to access a post-secondary educational institution?

This impact evaluation uses random assignment at the village level to estimate impacts of the IMAGINE program on enrollment, attendance, learning and other education outcomes for primary school-age children in Niger. IMAGINE follow-up data were collected in 2011. NECS Wave 1 data (which were also used to estimate longer term impacts of IMAGINE) were collected in 2013. After one year (using the data collected in 2011) the Impact Evaluation of Niger's IMAGINE program found that IMAGINE had a 4.3 percentage point positive impact on primary school enrollment, no impact on attendance, and no impact on math and French test scores. The program impacts were generally larger for girls than for boys. For girls, the program had an 8 percentage point positive impact on enrollment and a 5.4 percentage point impact on attendance. The program had no impact on girls’ math scores, though there is suggestive evidence it may have had a positive impact of 0.09 standard deviations on girls’ French test scores. No significant impacts were detected for boys’ enrollment, attendance, or test scores. Finally, impacts were larger for younger children (ages 7-10), than for those between the ages of 10 and 12. After four years (using data collected in 2013 during the NECS Wave 1 data collection), the Niger IMAGINE Long-Term Evaluation found that IMAGINE had a 8.3 percentage point positive impact on enrollment and a 7.9 percentage point negative impact on absenteeism. On average, children in treatment villages scored 0.13 standard deviations higher on the math assessment than children in control villages (significant at the 5 percent level). Test scores in French for children in treatment villages were higher than in control villages, but were not statistically significant. The evaluation found large and significant impacts of the program on enrollment, attendance, and math scores for females, compared to more modest and less significant impacts for males.

New York City school level College Board AP results for 2010.

Records with 5 or fewer students are suppressed.

Students are linked to schools by identifying which school they attend when registering for a College Board exam. A student is only included in a school’s report if he/she self-reports being enrolled at that school.

Data collected and processed by the College Board.