Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 5 |
Descriptor
Data Analysis | 5 |
Graduation Rate | 3 |
Academic Achievement | 2 |
At Risk Students | 2 |
Barriers | 2 |
Data Collection | 2 |
Dropout Prevention | 2 |
Dropouts | 2 |
Enrollment | 2 |
Goal Orientation | 2 |
Graduation | 2 |
More ▼ |
Source
Community College Research… | 1 |
Education Trust | 1 |
Jobs for the Future | 1 |
National Forum on Education… | 1 |
Regional Educational… | 1 |
Publication Type
Guides - Non-Classroom | 5 |
Reports - Descriptive | 2 |
Reports - Research | 1 |
Education Level
High Schools | 2 |
Higher Education | 2 |
Postsecondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Practitioners | 1 |
Location
Alabama | 1 |
California | 1 |
Florida | 1 |
Georgia | 1 |
Louisiana | 1 |
Massachusetts | 1 |
Minnesota | 1 |
Missouri | 1 |
New York | 1 |
South Dakota | 1 |
Tennessee (Nashville) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fink, John; Jenkins, Davis – Community College Research Center, Teachers College, Columbia University, 2020
This guide presents examples and instructions for data analyses colleges can conduct to better understand student enrollments and completions in particular programs. Such analyses can help colleges scrutinize representation of historically marginalized groups in programs leading to greater opportunity after graduation. There is an equity…
Descriptors: Data Analysis, Enrollment, Graduation, College Programs
National Forum on Education Statistics, 2016
The purpose of this document is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that are accessible, accurate, and actionable for a wide range of education stakeholders. Although this resource is designed for staff in education agencies, many of the visualization principles…
Descriptors: Visualization, Data, Guides, Data Analysis
Education Trust, 2016
All across the country, leaders in colleges and universities are asking the same question: What can we do to improve student success, especially for the low-income students and students of color whose graduation rates often lag behind? This second practice guide: "Using Data to Improve Student Outcomes: Learning from Leading Colleges"…
Descriptors: Data Analysis, Information Utilization, Student Improvement, Outcomes of Education
Jobs for the Future, 2014
Nationally, more than one million youth drop out of high school each year. One in four young people do not graduate with their age mates. Thus, in recent years, national leaders have directed sustained attention to what they term the "dropout crisis," particularly in high schools that are graduating less than two-thirds of their…
Descriptors: Dropouts, Dropout Prevention, High School Students, Graduation Rate
Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention