Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Hierarchical Linear Modeling | 3 |
| Sampling | 3 |
| Computation | 2 |
| Accuracy | 1 |
| Achievement Tests | 1 |
| Best Practices | 1 |
| Causal Models | 1 |
| Comparative Analysis | 1 |
| Computer Software | 1 |
| Context Effect | 1 |
| Correlation | 1 |
| More ▼ | |
Source
| Grantee Submission | 3 |
Author
| Adam Sales | 1 |
| Anthony F. Botelho | 1 |
| Avery H. Closser | 1 |
| Cai, Li | 1 |
| Hedberg, Eric C. | 1 |
| Hedges, Larry V. | 1 |
| Kuyper, Arend M. | 1 |
| Yang, Ji Seung | 1 |
Publication Type
| Reports - Research | 3 |
Education Level
| Elementary Education | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Kentucky | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkAvery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Download full textYang, Ji Seung; Cai, Li – Grantee Submission, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Hedges, Larry V.; Hedberg, Eric C.; Kuyper, Arend M. – Grantee Submission, 2012
Intraclass correlations are used to summarize the variance decomposition in popula- tions 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, Hierarchical Linear Modeling, Computation, Sampling
