Your search found 3373 results.

Descriptors:
Grade Point Average; Multivariate Analysis; Predictor Variables; Graduation; Grade 9; Educational Attainment; Urban Schools; Longitudinal Studies; Dropout Prevention; At Risk Students; Program Effectiveness; Gender Differences; Correlation; College Attendance; Grade 8; Enrollment Trends; Intervention; Attendance Patterns; High School Students; African American Students; Limited English Speaking; Special Education; Socioeconomic Status; Student Behavior

Abstract:
This study of graduation outcomes in Baltimore uses multivariate analysis of longitudinal student cohort data to examine the impact of factors identified in previous research as early warning indicators of a dropout outcome. Student cohort files were constructed from longitudinal administrative data (following all first-time 2004-2005 and 2005-2006 9th graders forward in time until their on-time graduation year and 1 year past). Sequentially estimated logistic regression hierarchical linear modeling models indicated the strongest predictors of graduation were 9th-grade attendance and course failure, although gender was still significant. Multinomial logistic regression models were used to analyze the relationship between the 4 categories of college enrollment outcomes (enrollment in a 4-year college, enrollment in a 2-year college, graduation with no college enrollment, and nongraduation) and student-level predictor variables, including grade point average (GPA) and 8th-grade test scores. Results suggest that equipping schools to implement interventions to address chronic absenteeism and course failure in 9th grade is a crucial strategy for increasing both high school graduation and college enrollment. (Contains 8 tables and 6 footnotes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Educational Change; Urban Areas; Low Achievement; Grade 9; At Risk Students; Educational Improvement; Student Needs; Identification; Intervention; High Schools; Program Effectiveness; Educational Indicators; Dropout Prevention; Graduation Rate; Student Characteristics; Gender Differences; Racial Differences; Student Mobility; Reading Achievement; Mathematics Achievement; Age Differences; Socioeconomic Status; Grade Point Average

Abstract:
Chicago has been in the forefront of the country in its use of 9th-grade indicators of dropout. Catalyzed by the development of the freshman on-track indicator and research around it, Chicago school administrators, central office personnel, and external partners have developed a number of mechanisms using 9th-grade indicators to stimulate school improvement. This article describes 3 ways in which early warning indicators are useful for improving student achievement: (a) focusing conversations and efforts on actionable problems; (b) identifying students for intervention; and (c) using indicator patterns to address low performance in a strategic way. Examples from high schools in Chicago suggest that knowledge of the on-track indicator and its use in district accountability were not enough to change practice. However, the availability of data tools that make it easy to act on information about on-track rates have changed the ways in which teachers and school staff interact with each other, students, and parents regarding improving student performance. The strategies they have developed with the data tools have provided a systematic focus to their efforts, which appears to be paying off in substantially improved ninth-grade achievement. (Contains 1 table, 4 figures, and 11 footnotes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
At Risk Students; School Personnel; Dropout Prevention; Data Collection; Graduation; High School Students; Program Effectiveness; Interviews; Observation; Intervention; School Holding Power; Academic Persistence; Student Behavior; Teamwork; Elementary Schools; Middle Schools

Abstract:
An early warning system is an intentional process whereby school personnel collectively analyze student data to monitor students at risk of falling off track for graduation and to provide the interventions and resources to intervene. We studied the process of monitoring the early warning indicators and implementing interventions to ascertain common practices and challenges. Research questions focused on the process of collecting and reviewing student data, conducting team meetings, and designing or selecting, and following through on, student interventions. This article reports on typical practices and implementation challenges of early warning indicators meetings from 10 schools that participated in the pilot phase of the Diplomas Now School Transformation Model across the country, gathered through meeting observations and interviews. (Contains 3 tables and 1 figure.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Educational Opportunities; Adolescents; Employment; Males; Masculinity; Minority Groups; Middle School Students; High School Students; Job Skills; Health Promotion; Barriers; At Risk Persons; Interviews; School Districts; Intervention; Dropout Prevention; Career Development; Adults; Out of School Youth; College Preparation; Cultural Pluralism; Teacher Competencies; Youth Programs; Access to Health Care

Abstract:
In 2011, the Robert Wood Johnson Foundation (RWJF) created the Forward Promise initiative within its Vulnerable Populations Portfolio to place a strategic emphasis on the needs of middle school- and high school-aged young men of color. RWJF's goal is to strengthen educational opportunities, pathways to employment, and health outcomes for these young men. All young people require support on the road to becoming healthy and productive adults, and a young man's path to growing up is likely to involve experimentation and risk-taking as he shapes his masculinity and exerts independence. The data show that for young men of color, those actions--which for other young men might be treated as youthful mistakes--are apt to be judged far more severely and punished with lasting consequences. Helping young men navigate their teenage years successfully is key to helping them reach their full potential. RWJF worked with the Center for Law and Social Policy (CLASP) to conduct a scan of issues facing boys and young men of color in the areas of education, health, and pathways to employment. The authors sought to understand both the barriers and opportunities in this work in order to make an informed decision about where to place resources to best influence outcomes for boys and young men of color. This document is a synthesis of the findings from that scan, which RWJF used to refine its strategy for Forward Promise. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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 ERIC Full Text (958K)

Descriptors:
Credentials; Dropouts; Developmental Studies Programs; Community Colleges; Dropout Prevention; School Holding Power; Student Characteristics; Age Differences; Academic Persistence; College Preparation; College Readiness; Part Time Students; Student Financial Aid

Abstract:
For colleges to develop effective dropout prevention strategies, it is necessary to have a clear picture of who these early dropouts are. This report identifies distinguishing characteristics of this group by analyzing six years of transcript data on 14,429 first-time college students who in 2005 and 2006 enrolled at one of five community colleges in a single state. Of these students, 28 percent never returned to the same college after their first semester, and the majority of these students never attended any college again. Early dropouts were, on average, older than early persisters. While early dropouts did not differ appreciably from early persisters in terms of secondary credentials, their developmental placement rates suggest that they were somewhat less academically prepared than early persisters. Early dropouts performed very poorly in their college coursework, particularly in their developmental courses. With failure and withdrawal rates in some courses exceeding 60 percent, it is clear that the first-term experience for early dropouts was not a positive one. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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 ERIC Full Text (143K)

Descriptors:
Educational Improvement; Improvement Programs; Formative Evaluation; Program Descriptions; Program Effectiveness; Program Evaluation; Poverty Areas; Disadvantaged Environment; Foreign Countries; Educational Development; Case Studies; Content Analysis; Position Papers; Parent Surveys; Teacher Surveys; Interviews; Focus Groups; Dropout Prevention; Academic Achievement; Achievement Gains; Educational Sociology; Violence; Effective Schools Research

Abstract:
The article analyses the main benefits of a Portuguese programme, launched in 1996, which was designed to support schools in segregated districts (TEIPs). The first part of the article presents a theoretical framework, before moving on to the main features of the TEIP programme in contemporary Portuguese society and education. An explanation of the methodological procedures applied in the research is also included. In the second part of the article, the main results are discussed. In broad terms, the programme succeeded in reducing violence patterns and drop-out rates. On the other hand, an improvement in academic outcomes is slow and the links to local communities and the labour market are variable and, in both cases, highly dependent of local variables. In the conclusion, the authors systematise the opportunities and challenges of such a "territorial approach" and point out some key factors in enhancing its success. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Educational Finance; Foreign Countries; Teacher Attitudes; Correlation; Dropouts; Surveys; Multivariate Analysis; Expenditure per Student; Predictor Variables; Attendance; Intervention; Costs; Family Environment; Gender Differences; Dropout Prevention

Abstract:
This paper examines the relative strength of different factors associated with school drop out using data collected between 2007 and 2009 in Bangladesh. A sample of 9046 children, aged 4-15, was selected across six districts for a household survey focusing on children's school access and experiences. Two groups of children were identified: those who were enrolled in school in both 2007 and 2009 and those who dropped out by 2009. Using a multivariate logit model, results show age and gender, together with financial constraints, such as lack of income and school expenditure, as the top predictors of school drop out. Two other important predictors are lack of parental support for children's school work and school absenteeism. This paper identifies some possible interventions that could reduce school drop out. These include campaigns to reduce late entry and overage enrolment, reductions in direct costs of schooling, and more support for low achieving children to compensate for lack of educational support at home. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Dropouts; Foreign Countries; Coaching (Performance); Dropout Prevention; Dropout Rate; Strategic Planning; Correlation; Mentors; Decision Making; Regression (Statistics)

Abstract:
In line with the Lisbon Agenda, set by the European Council in the year 2000, European governments formulated ambitious plans to halve the level of early school-leavers by 2012. This paper outlines the dropout prevention measures in the Netherlands and analyzes their influence at both the individual and school level. While most policy measures correlate negatively with the individual dropout decision, only "mentoring and coaching" (i.e., matching of students with a coach from public or private organizations), "optimal track or profession" (e.g., work placement) and "dual track" (i.e., re-entering education for dropout students) have a significant negative impact on the individual dropout decision. By means of quantile regressions, we observe that schools with a relatively high dropout rate benefit the most from dropout prevention measures. (Contains 4 tables, 1 figure, and 13 notes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Learner Engagement; Student School Relationship; Dropouts; Predictor Variables; Dropout Prevention; At Risk Students; Role; Student Characteristics; Urban Areas; Correlation; Vocational Education; Secondary School Students; Engineering Education; Foreign Countries; Independent Study; Regression (Statistics)

Abstract:
Behavioral disengagement from school is a proximal predictor of dropout. Therefore, the enhancement of behavioral engagement is a useful point of entry for dropout prevention. In this study, we examine the behavioral engagement of at-risk and non-at-risk students in Dutch senior vocational education (SVE), a sector confronted with high dropout rates. Using multilevel regression analyses, we assess the role of students' background characteristics and perceived fit with the school environment in their behavioral engagement. Findings indicate that students in highly urbanized areas are significantly less engaged in school. The perceived proportion of autonomous work is most prominently correlated to students' behavioral engagement. Whereas in general SVE students are more engaged if their program requires little autonomous work from students, engineering students appear to favor autonomous work forms. (Contains 2 tables.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Models; Dropouts; High School Students; Longitudinal Studies; Structural Equation Models; Parent Child Relationship; Depression (Psychology); Family Problems; Classroom Environment; Student School Relationship; Academic Achievement; Dropout Programs; Dropout Prevention

Abstract:
This study tests an empirical multidimensional model of school dropout, using data collected in the first year of an 8-year longitudinal study, with first year high school students aged 12-13 years. Structural equation modeling analyses show that five personal, family, and school latent factors together contribute to school dropout identified at 19 years of age: poor parent-teenager relationships, youth depression and family difficulties, negative classroom climate, negative school interactions, and poor academic achievement. This model increases our understanding of the dropout process in the general population and has direct implications for the development of high school dropout prevention programs. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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