Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Causal Models | 3 |
Correlation | 3 |
Elementary School Students | 3 |
Grade 2 | 3 |
Difficulty Level | 2 |
Educational Assessment | 2 |
Effect Size | 2 |
Intervention | 2 |
Item Analysis | 2 |
Item Response Theory | 2 |
Pretesting | 2 |
More ▼ |
Author
Benjamin W. Domingue | 2 |
Joshua B. Gilbert | 2 |
Luke W. Miratrix | 2 |
Mridul Joshi | 2 |
Raudenbush, Stephen W. | 1 |
Shin, Yongyun | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Elementary Education | 3 |
Grade 2 | 3 |
Early Childhood Education | 2 |
Primary Education | 2 |
Grade 1 | 1 |
Grade 3 | 1 |
Kindergarten | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) 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 pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Shin, Yongyun; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2011
This article addresses three questions: Does reduced class size cause higher academic achievement in reading, mathematics, listening, and word recognition skills? If it does, how large are these effects? Does the magnitude of such effects vary significantly across schools? The authors analyze data from Tennessee's Student/Teacher Achievement Ratio…
Descriptors: Small Classes, Correlation, Reading Achievement, Mathematics Achievement