Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Differences | 2 |
| State Regulation | 2 |
| Attendance | 1 |
| Automation | 1 |
| Behavior Modification | 1 |
| Classification | 1 |
| Data Collection | 1 |
| Disabilities | 1 |
| Educational Vouchers | 1 |
| Improvement | 1 |
| Information Management | 1 |
| More ▼ | |
Author
| Shah, Nirvi | 1 |
Publication Type
| Reports - Descriptive | 2 |
| Guides - Non-Classroom | 1 |
| Journal Articles | 1 |
Education Level
| Elementary Secondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkShah, Nirvi – Education Week, 2012
Creating private school vouchers for special education students--programs that are largely unchallenged in court, unlike other publicly financed tuition vouchers--can be the perfect way to clear a path for other students to get school options, according to school choice proponents. At least seven states--Arizona, Florida, Georgia, Louisiana, Ohio,…
Descriptors: Educational Vouchers, Private Schools, Disabilities, Special Education
Peer reviewed
Download full textNational Forum on Education Statistics, 2009
This Forum guide offers best practice suggestions on collecting and using student attendance data to improve performance. It includes a standard set of codes to make attendance data comparable across districts and states. There are real-life examples of how attendance information has been used by school districts. Chapter 1 discusses the…
Descriptors: Attendance, Data Collection, School Statistics, Information Utilization
