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) | 2 |
Descriptor
| Computation | 2 |
| Correlation | 2 |
| Elementary School Students | 2 |
| Grade 5 | 2 |
| Hierarchical Linear Modeling | 2 |
| Reading Achievement | 2 |
| Achievement Tests | 1 |
| Class Size | 1 |
| Coding | 1 |
| Computer Software | 1 |
| Data Analysis | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 2 |
Education Level
| Elementary Education | 2 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
Audience
Location
| Kentucky | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
What Works Clearinghouse Rating
Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis
Hedges, Larry V.; Hedberg, E. C.; Kuyper, Arend M. – Educational and Psychological Measurement, 2012
Intraclass correlations are used to summarize the variance decomposition in populations with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Computation, Hierarchical Linear Modeling, Reading Achievement

Peer reviewed
Direct link
