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TwitterThis dataset shows broad performance metrics for education for Maryland as a whole, from School Years 2005/2006 to 2013/2014. Data are provided by the Maryland State Department of Education (MSDE) and were originally submitted to the Governor's Office.
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TwitterThe 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 https://nces.ed.gov/surveys/nels88/data_products.asp. 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.
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The Impact Evaluation of Race to the Top and School Improvement Grants (RTT-SIG Impact Evaluation) is a study that is part of the Impact Evaluation of Race to the Top and School Improvement Grants (RTT-SIG Impact Evaluation) program. RTT-SIG Impact Evaluation (https://ies.ed.gov/ncee/projects/evaluation/other_racetotop.asp) is a cross-sectional survey that assesses the implementation of the Race to the Top (RTT) and School Improvement Grant (SIG) programs at the State, local education agency (LEA), and school levels, as well as whether the receipt of RTT and/or SIG funding to implement a school turnaround model has had an impact on outcomes for the lowest-achieving schools. Additionally, the study investigates whether RTT reforms were related to improvements in student outcomes and whether implementation of the four school turnaround models, and the strategies within those models, was related to improvement in outcomes for the lowest-achieving schools. The study was conducted using a combination of telephone interviews and web-based surveys targeted to school administrators at the state, LEA, and school levels. Key statistics produced from RTT-SIG Impact Evaluation include State, LEA, and school adoption levels of policies and practices promoted by RTT and SIG, as well as impacts on student outcomes of RTT and SIG funding.
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TwitterWhat are the median earnings of high school graduates in the years following high school graduation in each industry group (6 Digit NAICS)?
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TwitterNew 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.
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TwitterMission 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.
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This table contains data on the percent of population age 25 and up with a four-year college degree or higher for California, its regions, counties, county subdivisions, cities, towns, and census tracts. Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information on the data table and a data dictionary can be found in the Data and Resources section. The educational attainment table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf
The format of the educational attainment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.
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TwitterThere is no country or economy participating in PISA 2012 that can claim that all of its 15-year-old students have achieved a baseline level of proficiency in mathematics, reading and science. Poor performance at school has long-term consequences, both for the individual and for society as a whole. Reducing the number of low-performing students is not only a goal in its own right but also an effective way to improve an education system’s overall performance – and equity, since low performers are disproportionately from socio-economically disadvantaged families. Low-performing Students: Why they Fall Behind and How to Help them Succeed examines low performance at school by looking at low performers’ family background, education career and attitudes towards school. The report also analyses the school practices and educational policies that are more strongly associated with poor student performance. Most important, the evidence provided in the report reveals what policy makers, educators, parents and students themselves can do to tackle low performance and succeed in school.
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TwitterThis 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.
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TwitterThese data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The goals of the study were to estimate the effect of juvenile versus criminal jurisdiction on recidivism and educational outcomes in Connecticut, and describe the relationships among education and juvenile justice outcomes from early to late adolescence. The study sample included all court-referred juveniles and adults in Connecticut between the years 2006 to 2012. The individual-level juvenile case records and educational variables for each year were acquired from the Connecticut Court Support Services Division (CSSD) and the Connecticut State Department of Education (CSDE). Data on court-involvement (CSSD) include juvenile referral history, detention data, service data, adult criminal history, and data on multiple risk assessments. Educational data (CSDE) include demographic information, student enrollment (i.e., number of days in attendance, graduation, dropout), statewide, standardized academic achievement test scores, disciplinary offense data, and special education data.
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TwitterWhat percentage of high school graduates persist/retain in post secondary institutions after the first year of post secondary enrollment?
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Twitter2006/07 Progress Report results for all schools (data as of 1/14/09)
Peer indices are calculated differently depending on School Level. Schools are only compared to other schools in the same School Level (e.g., Elementary, K-8, Middle, High)
1) Elementary & K-8 - peer index is a value from 0-100. We use a composite demographic statistic based on % ELL, % SpEd, % Title I free lunch, and % Black/Hispanic. Higher values indicate student populations with higher need
2) Middle & High - peer index is a value from 1.00-4.50. For middle schools, we use the average 4th grade proficiency ratings in ELA and Math for all their students that have 4th grade test scores. For high schools, we use the average 8th grade proficiency ratings in ELA and Math for all their students that have 8th grade test scores. Lower values indicate student populations with higher need
3) D84 / Charter Schools - the overall score does not include the results of the learning environment survey.
4) Schools for Transfer Students - consists of schools with large populations of high school students transferring from NYC High Schools or from out of state/country. No peer index value is assigned because this set of schools is its own peer group. The reports contain 3 categories with one additional credit section. Unlike the HS Progress Report, the Environment Category is only composed of Survey Results. Performance measures 6-year graduation rate and Progress captures student level improvements in attendance, credit accumulation and Regents passed. The additional credit section rewards schools demonstrating exceptional achievement (11 credits or more earned per year) among overage/under-credit populations.
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The National Reporting System for Adult Education, 2004-05 (NRS 2004-05), is part of the Adult Education and Family Literacy program; program data is available since 1997 at . NRS 2004-05 (http://www.nrsweb.org) is a cross-sectional study that was designed to monitor performance accountability for the federally funded, state-administered adult education program. States were required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States could also report on additional, optional secondary measures that included outcomes related to employment, family, and community. The study was conducted using a web-based reporting system of states. NRS 2004-05 is a universe survey, and all states submitted data. Key statistics produced from the study include student demographics, reasons for attending the program, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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This study uses quantitative and qualitative research to fill a gap in the scholarly literature on "what works" in school discipline, climate, and safety and has important implications for educators and justice policymakers nationwide. The quantitative analysis utilized data from 2010-2015 of middle and high school students (N=87,471 students nested within 804 schools and 74 neighborhoods) in New York City. Researchers applied hierarchical modeling methods to analyze effects of neighborhood, school, and student characteristics on: 1) future school disciplinary outcomes; 2) future arrest; and 3) grade advancement. Demographic variables for individual participants include race, gender, and if they are an English language learner. Demographic variables for neighborhoods include race, median income, crime rates, and education levels.
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The National Reporting System for Adult Education, 2007-08 (NRS 2007-08), is part of the Adult Education and Family Literacy program; program data is available since 1997 at . NRS 2007-08 (http://www.nrsweb.org) is a cross-sectional study that was designed to monitor performance accountability for the federally funded, state-administered adult education program. States were required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States could also report on additional, optional secondary measures that included outcomes related to employment, family, and community. The study was conducted using a web-based reporting system of states. NRS 2007-08 is a universe survey, and all states submitted data. Key statistics produced from the study include student demographics, reasons for attending the program, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.
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TwitterThe National Reporting System for Adult Education, 2010-11 (NRS 2010-11), is part of the Adult Education and Family Literacy program; program data is available since 1997 at https://nrs.ed.gov/. NRS 2010-11 (http://www.nrsweb.org) is a cross-sectional study that was designed to monitor performance accountability for the federally funded, state-administered adult education program. States were required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States could also report on additional, optional secondary measures that included outcomes related to employment, family, and community. The study was conducted using a web-based reporting system of states. NRS 2010-11 is a universe survey, and all states submitted data. Key statistics produced from the study include student demographics, reasons for attending the program, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.
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TwitterThis 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?
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TwitterThis state panel discussion, featuring Alabama, District of Columbia, and Wisconsin, discussed sharing child welfare and education data to improve practice and outcomes. Panelists shared the history of their exchanges along with future visions for their exchanges. In addition, panelists discussed the lessons learned from building relationships between child welfare agencies and education agencies and developing data exchanges between them. The panel included several question and answer sessions throughout the presentation. Metadata-only record linking to the original dataset. Open original dataset below.
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The National Reporting System for Adult Education, 2011-12 (NRS 2011-12), is part of the Adult Education and Family Literacy program; program data is available since 1997 at . NRS 2011-12 (http://www.nrsweb.org) is a cross-sectional study that was designed to monitor performance accountability for the federally funded, state-administered adult education program. States were required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States could also report on additional, optional secondary measures that included outcomes related to employment, family, and community. The study was conducted using a web-based reporting system of states. NRS 2011-12 is a universe survey, and all states submitted data. Key statistics produced from the study include student demographics, reasons for attending the program, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.
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TwitterThe National Assessment of Educational Progress, 2003 (NAEP 2003), is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data is available since 1990 at https://nces.ed.gov/nationsreportcard/naepdata/. NAEP 2003 (https://nces.ed.gov/nationsreportcard/) is a cross-sectional survey that assesses what America's students know and can do in various subject areas. The study was conducted using computer-based assessment of students. Students in grades 4, 8, and 12 were sampled. The study's response rate was between 90 and 92 percent. Key statistics produced from NAEP 2003 are results on subject-matter achievement, instructional experiences, and school environment for populations of students (e.g., all fourth-graders) and groups within those populations (e.g., female students, Hispanic students).
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TwitterThis dataset shows broad performance metrics for education for Maryland as a whole, from School Years 2005/2006 to 2013/2014. Data are provided by the Maryland State Department of Education (MSDE) and were originally submitted to the Governor's Office.