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) | 1 |
Descriptor
| Database Design | 2 |
| Databases | 2 |
| Longitudinal Studies | 2 |
| Accuracy | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Educational Attainment | 1 |
| Educational Finance | 1 |
| Enrollment | 1 |
| Error Correction | 1 |
| Graduation Rate | 1 |
| More ▼ | |
Source
| National Center for Education… | 2 |
Publication Type
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textLenihan, Colleen – National Center for Education Statistics, 2012
The IPEDS Analytics: Delta Cost Project Database was created to make data from the Integrated Postsecondary Education Data System (IPEDS) more readily usable for longitudinal analyses. Currently spanning the period from 1987 through 2010, it has a total of 202,800 observations on 932 variables derived from the institutional characteristics,…
Descriptors: Postsecondary Education, Data Collection, Databases, Usability
McLaughlin, Don; William, Paul K.; Glander, Mark C. – National Center for Education Statistics, 2004
One of the challenges limiting the capability for analysis of educational issues is that data on school enrollments, staffing, and financing are collected through separate but annually conducted universe surveys. Because the data are collected and provided by separate agencies, the available data from the nation's school districts are often…
Descriptors: Data Analysis, Databases, Database Design, Public Schools
