Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
Descriptor
| Causal Models | 2 |
| Intervention | 2 |
| Randomized Controlled Trials | 2 |
| Computation | 1 |
| Correlation | 1 |
| Difficulty Level | 1 |
| Educational Assessment | 1 |
| Educational Research | 1 |
| Effect Size | 1 |
| Elementary School Students | 1 |
| Grade 2 | 1 |
| More ▼ | |
Source
| Journal of Educational and… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 2 | 1 |
| Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics

Peer reviewed
Direct link
