Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 6 |
Descriptor
| Lunch Programs | 6 |
| National Programs | 4 |
| Outcomes of Education | 3 |
| Poverty | 3 |
| School Location | 3 |
| Economically Disadvantaged | 2 |
| Geographic Regions | 2 |
| Low Income Students | 2 |
| Nutrition | 2 |
| Outcome Measures | 2 |
| Predictive Validity | 2 |
| More ▼ | |
Source
| Grantee Submission | 2 |
| Education Commission of the… | 1 |
| Health Education Journal | 1 |
| International Journal of… | 1 |
| US Department of Agriculture | 1 |
Author
| Robin Clausen | 3 |
| Applebaum, Maggie | 1 |
| Bark, Katie | 1 |
| Byker Shanks, Carmen | 1 |
| Duncombe, Chris | 1 |
| Hoff, Casey | 1 |
| Izumi, Betty | 1 |
| Parks, Courtney A. | 1 |
| Ranalli, Dennis | 1 |
| Stenberg, Molly | 1 |
| Syverson, Eric | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 4 |
| Reports - Evaluative | 1 |
Education Level
| Secondary Education | 2 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
Audience
| Policymakers | 1 |
Location
| Montana | 6 |
| Alabama | 2 |
| Texas | 2 |
| Arizona | 1 |
| Florida | 1 |
| Idaho | 1 |
| Indiana | 1 |
| Maryland | 1 |
| North Dakota | 1 |
| Oregon | 1 |
| United States | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| American Community Survey | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkRobin Clausen – Grantee Submission, 2024
Alternative poverty measures have been proposed in response to the emerging insufficiencies of the National School Lunch Program (NSLP) eligibility data. The analysis presented here involves seven poverty measures. Using outcome measures as a yardstick, we can assess how poverty measures explain these outcomes and note variations between…
Descriptors: Economically Disadvantaged, Outcomes of Education, Poverty, Lunch Programs
Download full textRobin Clausen – International Journal of Education Policy and Leadership, 2024
Alternative poverty measures have been proposed in response to the emerging insufficiencies of the National School Lunch Program (NSLP) eligibility data. The analysis presented here involves seven poverty measures. Using outcome measures as a yardstick, we can assess how poverty measures explain these outcomes and note variations between…
Descriptors: Economically Disadvantaged, Outcomes of Education, Poverty, Lunch Programs
Byker Shanks, Carmen; Stenberg, Molly; Bark, Katie; Izumi, Betty; Hoff, Casey; Parks, Courtney A. – Health Education Journal, 2023
Introduction: Fruit and vegetable (FV) consumption is low among adolescents, and waste of these foods is high in school cafeterias. The objective of this research was to determine the impact of behavioural economic strategies and structural lunchroom changes on FV selection and waste in high-school lunch programmes using the collaborative efforts…
Descriptors: Lunch Programs, Food, Eating Habits, Wastes
Robin Clausen – Grantee Submission, 2024
Rurality in education research is a function of the size of the school, the distance of a school in relation to urban areas, and factors within each school that may differentiate the school community based on geography. Distance matters. This study finds variation between rural communities at different distances from an urban center and…
Descriptors: Poverty, Rural Areas, School Location, Proximity
Ranalli, Dennis; Templin, Joe; Applebaum, Maggie – US Department of Agriculture, 2021
This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies (LEAs) to certify eligible children for free meals without the need for household applications.…
Descriptors: National Programs, Lunch Programs, Certification, Eligibility
Syverson, Eric; Duncombe, Chris – Education Commission of the States, 2022
States and districts allocate hundreds of billions of dollars annually to fund K-12 schools, and this allocation is largely driven by one calculation: how states count student enrollment. They do this in one of five ways: (1) A single count on a single day; (2) Two counts twice per year; (3) Multiple counts over a period of time; (4) An attendance…
Descriptors: School Funds, Enrollment, Attendance, COVID-19
