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
| Data Analysis | 1 |
| Educational Research | 1 |
| Equations (Mathematics) | 1 |
| Hierarchical Linear Modeling | 1 |
| Longitudinal Studies | 1 |
| Models | 1 |
| Nonparametric Statistics | 1 |
Source
| Grantee Submission | 1 |
Author
| Catherine P. Bradshaw | 1 |
| Elise T. Pas | 1 |
| Joseph Kush | 1 |
| Rashelle J. Musci | 1 |
Publication Type
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research

Peer reviewed
Direct link
