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CannistrĂ , Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Verstuyft, Lloyd Cyril – ProQuest LLC, 2010
The student dropout dilemma in the American educational system has remained unchanged for the past 30 years. Dropout figures show more than 6 million high school dropouts living in the United States today. The purpose of this study was to compare and analyze potential dropout variables between two groups of senior students at a local high school. …
Descriptors: Student Records, Educational Development, Student Needs, High Schools
Hahn, Andrew – Phi Delta Kappan, 1987
Although successful dropout assistance programs depend on effective implementation, casework, and long-term followup activities, the literature only occasionally addresses these practices. This article reviews data collection problems, major risk factors, reforms aimed at actual and potential dropouts, and alternative school programs. Second…
Descriptors: Caseworker Approach, Data Collection, Dropout Characteristics, Dropout Programs
Rossi, Robert J.; Stringfield, Samuel C. – 1995
The United States must find ways to improve the quality of education for all its citizens, particularly those young people who are most at risk of failure. This document, the second of three volumes, contains detailed case-study data from 18 schools located across the United States. The case studies were conducted as part of a study that…
Descriptors: Case Studies, Data Analysis, Data Collection, Educational Change
Rossi, Robert J. – 1995
Despite the widespread attention given to education reform, no substantial knowledge base has existed for identifying and implementing effective reforms for at-risk student populations. This document, the third of three volumes, describes the research design for a study that identified the essential mechanics of effective reforms for students at…
Descriptors: Case Studies, Data Analysis, Data Collection, Educational Change
Patton, Stanley R. – 1969
This document contains a design for creating an educational data bank of pupil personnel information. The specific information that should be collected and maintained in such an updatable data bank is described in detail. The document provides instructions on interpretation of this data for (1) predicting approximate percentages of students who…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
Rossi, Robert J.; And Others – 1995
In 1988, the United States Congress passed legislation that created the School Dropout Demonstration Assistance Program (SDDAP). The program provides funding for local educational agencies, community-based organizations, and educational partnerships to establish effective programs. This report, the second of two volumes, presents statistical data…
Descriptors: Data Collection, Delivery Systems, Dropout Prevention, Dropout Programs
Gillespie, Maggie; Noble, Julie – 1992
Student and institutional characteristics related to college freshman persistence were studied. Persistence was examined for 5 institutions (5,950 students) at 4 points in time: end of first term, reenrollment in the spring, end of spring term, and reenrollment in the fall of the sophomore year. Data from a variety of sources were used, and…
Descriptors: Academic Persistence, College Attendance, College Freshmen, Data Collection
Morse, Susan C., Ed. – 1987
This summary of a forum for migrant educators defines dropout issues, explores solutions and models of service, and offers recommendations to address the needs of out-of-school migrant youth. Notes from forum workshops and summary task force reports deal with dropout identification/needs assessment, dropout/enrollment/graduation data, interagency…
Descriptors: Coordination, Data Collection, Dropout Characteristics, Dropout Prevention