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
| Accuracy | 1 |
| Educational Research | 1 |
| Hierarchical Linear Modeling | 1 |
| Mathematical Formulas | 1 |
| Monte Carlo Methods | 1 |
| Randomized Controlled Trials | 1 |
| Research Design | 1 |
| Sample Size | 1 |
| Simulation | 1 |
Source
| Journal of Experimental… | 1 |
Author
| Ben Kelcey | 1 |
| Hannah Luce | 1 |
| Kyle Cox | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kyle Cox; Ben Kelcey; Hannah Luce – Journal of Experimental Education, 2024
Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a…
Descriptors: Randomized Controlled Trials, Monte Carlo Methods, Hierarchical Linear Modeling, Educational Research

Peer reviewed
Direct link
