Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Academic Achievement | 2 |
| Data Analysis | 2 |
| Information Utilization | 2 |
| Student Development | 2 |
| Accountability | 1 |
| Barriers | 1 |
| Best Practices | 1 |
| College Students | 1 |
| Criterion Referenced Tests | 1 |
| Educational Assessment | 1 |
| Educational Quality | 1 |
| More ▼ | |
Author
| Betebenner, Damian W. | 1 |
Publication Type
| Guides - Non-Classroom | 1 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| California | 1 |
| Florida | 1 |
| Georgia | 1 |
| Wisconsin | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Betebenner, Damian W. – National Center for the Improvement of Educational Assessment, 2011
In this report, student growth percentiles and percentile growth projections/trajectories are introduced as a means of understanding student growth in both normative and a criterion referenced ways. With these values calculated, the author shows how growth data can be utilized in both a norm- and in a criterion-referenced manner to inform…
Descriptors: Academic Achievement, Growth Models, Data Analysis, Information Utilization


