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
| Bias | 1 |
| Census Figures | 1 |
| Cohort Analysis | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Epidemiology | 1 |
| Grade 1 | 1 |
| Longitudinal Studies | 1 |
| Perinatal Influences | 1 |
| Prenatal Influences | 1 |
Source
| Sage Research Methods Cases | 1 |
Publication Type
| Books | 1 |
| Non-Print Media | 1 |
| Reports - Research | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 1 | 1 |
| Primary Education | 1 |
Audience
Location
| Georgia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkJennifer L. Richards; Michael R. Kramer – Sage Research Methods Cases, 2017
Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early…
Descriptors: Grade 1, Longitudinal Studies, Prenatal Influences, Perinatal Influences
