Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Higher Education | 2 |
| Predictive Measurement | 2 |
| Academic Advising | 1 |
| Administrator Role | 1 |
| Analysis of Variance | 1 |
| Campuses | 1 |
| Causal Models | 1 |
| College Administration | 1 |
| Data Use | 1 |
| Decision Making | 1 |
| Enrollment Management | 1 |
| More ▼ | |
Publication Type
| Books | 1 |
| Collected Works - General | 1 |
| Guides - Non-Classroom | 1 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Practitioners | 2 |
| Students | 2 |
| Administrators | 1 |
| Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkWebber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Peer reviewedLottes, Ilsa L.; And Others – Teaching Sociology, 1996
Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…
Descriptors: Analysis of Variance, Causal Models, Higher Education, Instructional Improvement
