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
Author
| Appleton, James J. | 1 |
| Burns, Matthew K. | 1 |
| Cao, Chunhua | 1 |
| Chen, Yi-Hsin | 1 |
| Ferron, John | 1 |
| Jimerson, Shane R. | 1 |
| Kim, Eun Sook | 1 |
| Silberglitt, Benjamin | 1 |
| Stark, Stephen | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 2 |
| Grade 1 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkCao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Silberglitt, Benjamin; Appleton, James J.; Burns, Matthew K.; Jimerson, Shane R. – Journal of School Psychology, 2006
Grade retention is an intervention that has received increasing scrutiny as policies, practices, and results of research diverge. This longitudinal study examines the reading growth trajectories of students (n=147) from first-through eighth-grade. Hierarchical Linear Modeling (HLM) analytic procedures provide unique insights regarding the relative…
Descriptors: Grade Repetition, Reading Achievement, Longitudinal Studies, Intervention
