Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Classification | 1 |
| Definitions | 1 |
| Family (Sociological Unit) | 1 |
| Models | 1 |
| Neighborhoods | 1 |
| Place Based Education | 1 |
| Prediction | 1 |
| Probability | 1 |
| More ▼ | |
Source
| Field Methods | 1 |
Author
| Amy Carroll-Scott | 1 |
| Erikka Gilliam | 1 |
| Félice Lê-Scherban | 1 |
| Irene Headen | 1 |
| Maggie Beverly | 1 |
| Matthew Jannetti | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| Pennsylvania (Philadelphia) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction

Peer reviewed
Direct link
