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1. Do We Know Who Will Drop out?: A Review of the Predictors of Dropping out of High School--Precision, Sensitivity, and Specificity (EJ995291)

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Author(s):

Bowers, Alex J.Sprott, RyanTaff, Sherry A.

Source:

High School Journal, v96 n2 p77-100 Dec-Jan 2013

Pub Date:

2013-00-00

Pub Type(s):

Journal Articles; Reports - Evaluative

Peer Reviewed:

Yes

Descriptors:
At Risk StudentsDropoutsAccuracyComputationDropout RatePredictionPredictor VariablesLongitudinal StudiesGrades (Scholastic)Comparative AnalysisHigh School Students

Abstract:
The purpose of this study is to review the literature on the most accurate indicators of students at risk of dropping out of high school. We used Relative Operating Characteristic (ROC) analysis to compare the sensitivity and specificity of 110 dropout flags across 36 studies. Our results indicate that 1) ROC analysis provides a means to compare the accuracy of different dropout indicators, 2) th Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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2. Great Expectations: Students' Educational Attitudes upon the Transition to Post-Secondary Vocational Education (EJ995225)

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Author(s):

Elffers, LouiseOort, Frans J.

Source:

Social Psychology of Education: An International Journal, v16 n1 p1-22 Mar 2013

Pub Date:

2013-03-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Student AttitudesVocational EducationMinority GroupsMinority Group StudentsDropout RateEducational AttitudesEducational ExperienceSchool OrientationForeign CountriesRegression (Statistics)Ethnic GroupsPrior LearningRole

Abstract:
In this study, we examine students' educational attitudes upon the transition to Dutch senior vocational education (SVE), a transition associated with high dropout rates in the first year. Prior studies have identified differences in educational attitudes between sociodemographic groups. However, the mechanisms underlying those differences remain topic of debate: some studies point at differences Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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3. The Impact of "Tuition-Paying" Policy on Retention and Graduation Rates at the University of Ghana (EJ973049)

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Author(s):

Atuahene, Francis

Source:

Journal of College Student Retention: Research, Theory & Practice, v14 n1 p37-65 2012-2013

Pub Date:

2013-00-00

Pub Type(s):

Journal Articles; Reports - Evaluative

Peer Reviewed:

Yes

Descriptors:
Higher EducationGraduation RateForeign CountriesAccountingTuitionEducational PolicySchool PolicyAcademic PersistenceStudent AttritionIncomeEnrollment TrendsFeesDropout RateFinancial SupportLow Income GroupsCollege Preparation

Abstract:
African universities over the past decade have developed new modes of financial mobilization in search for fiscal solutions to the declining public support for higher education. The creation of the "tuition-paying" ("dual track" or "fee-paying") admission track policy, a variant of cost sharing, is one of such strategic initiatives that has gained popularity in public universities in Ghana and ot Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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4. Public School Graduates and Dropouts from the Common Core of Data: School Year 2009-10. First Look (Provisional Data). NCES 2013-309 (ED538847)

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Author(s):

Stillwell, RobertSable, Jennifer

Source:

National Center for Education Statistics

Pub Date:

2013-01-00

Pub Type(s):

Numerical/Quantitative Data; Reports - Descriptive

Peer Reviewed:

Yes

Descriptors:
Public SchoolsDropoutsHigh School GraduatesGraduation RateEnrollmentDropout RateGrade 9Grade 10Grade 11Grade 12Asian American StudentsWhite StudentsAfrican American StudentsAmerican Indian StudentsRacial DifferencesGender DifferencesHigh School Freshmen

Abstract:
This report presents the number of high school completers, the Averaged Freshman Graduation Rate (AFGR), and the dropout data for grades 9-12 for public schools in school year 2009-10. State Education Agencies (SEAs) report annual counts of completers, dropouts, and enrollments to the National Center for Education Statistics' (NCES) Common Core of Data (CCD) nonfiscal survey of public elementary/ Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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5. Dropout Prevention Measures in the Netherlands, an Explorative Evaluation (EJ999515)

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Author(s):

De Witte, KristofCabus, Sofie J.

Source:

Educational Review, v65 n2 p155-176 2013

Pub Date:

2013-00-00

Pub Type(s):

Journal Articles; Reports - Evaluative

Peer Reviewed:

Yes

Descriptors:
DropoutsForeign CountriesCoaching (Performance)Dropout PreventionDropout RateStrategic PlanningCorrelationMentorsDecision MakingRegression (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 deci Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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6. Parental Background and University Dropout in Italy (EJ1000032)

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Author(s):

Aina, Carmen

Source:

Higher Education: The International Journal of Higher Education and Educational Planning, v65 n4 p437-456 Apr 2013

Pub Date:

2013-04-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
Foreign CountriesHigher EducationEnrollmentDropout RatePredictor VariablesEducational AttainmentParent BackgroundPostsecondary EducationDropoutsHuman CapitalFamily CharacteristicsLow Income

Abstract:
Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household's cultural and financial conditions on shaping investment in tertiary education and its failure, at the national level. Our estimates confirm the p Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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7. Exposing the Myth: Advanced Math Does Not Increase Drop out Rates. Math Works (ED541655)

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Author(s):

N/A

Source:

Achieve, Inc.

Pub Date:

2013-03-00

Pub Type(s):

Reports - Descriptive

Peer Reviewed:

Descriptors:
Academic AchievementGraduation RequirementsMathematics InstructionMisconceptionsAdvanced CoursesStudent MotivationAchievement NeedDropout Rate

Abstract:
A common argument against raising math course-taking requirements for all students is that it will cause more students to drop out of high school. But most students who drop out for academic reasons do so not because they are being "too challenged," but rather because they are not being challenged enough. It is important to raise the rigor and relevance of mathematics courses to keep students eng Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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8. Premature Discontinuation in Adult Psychotherapy: A Meta-Analysis (EJ992545)

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Author(s):

Swift, Joshua K.Greenberg, Roger P.

Source:

Journal of Consulting and Clinical Psychology, v80 n4 p547-559 Aug 2012

Pub Date:

2012-08-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
IdentificationDropoutsEating DisordersPsychotherapyMeta AnalysisDropout RateInterventionClinical DiagnosisOutcomes of TreatmentCodingPatientsIndividual CharacteristicsMental DisordersPersonality Problems

Abstract:
Objective: Premature discontinuation from therapy is a widespread problem that impedes the delivery of otherwise effective psychological interventions. The most recent comprehensive review found an average dropout rate of 47% across 125 studies (Wierzbicki & Pekarik, 1993); however, given a number of changes in the field over the past 2 decades, an updated meta-analysis is needed to examine the c Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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9. Middle Grades Transition Programs around the Globe (EJ990866)

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Author(s):

Andrews, ColinBishop, Penny

Source:

Middle School Journal, v44 n1 p8-14 Sep 2012

Pub Date:

2012-09-00

Pub Type(s):

Journal Articles; Reports - Descriptive

Peer Reviewed:

Yes

Descriptors:
Transitional ProgramsForeign CountriesFocus GroupsMiddle School StudentsInterviewsParentsTeachersPrincipalsAcademic AchievementDropout RateDropoutsSecondary School Students

Abstract:
Transitions into and out of the middle grades can be challenging for many reasons. Students need to acclimate to new policies, practices, and buildings; teachers require accurate data about their new students' capacities; and families must navigate relationships with new personnel. All school transitions present different and, at times, puzzling terrain to traverse. Some students find the move be Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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10. Implementation Differences of Two Staffing Models in the German Home Visiting Program "Pro Kind" (EJ990275)

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Author(s):

Brand, TilmanJungmann, Tanja

Source:

Journal of Community Psychology, v40 n8 p891-905 Nov 2012

Pub Date:

2012-11-00

Pub Type(s):

Journal Articles; Reports - Research

Peer Reviewed:

Yes

Descriptors:
PregnancyHelping RelationshipProgram ImplementationSocial WorkHome VisitsQuasiexperimental DesignFidelityDropout RateParent EducationFemalesCaseworkersForeign CountriesObstetricsComparative AnalysisDropoutsProgram EffectivenessCorrelation

Abstract:
As different competencies or professional backgrounds may affect the quality of program implementation, staffing is a critical issue in home visiting. In this study, N = 430 women received home visits delivered either by a tandem of a midwife and a social worker or by only one home visitor (primarily midwives, continuous model). The groups were compared in a quasi-experimental design on level of Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Full Abstract

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