Publication Date
In 2025 | 2 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 10 |
Descriptor
Multivariate Analysis | 10 |
Randomized Controlled Trials | 10 |
Research Design | 10 |
Correlation | 6 |
Sample Size | 5 |
Statistical Analysis | 5 |
Educational Research | 4 |
Experiments | 3 |
Hierarchical Linear Modeling | 3 |
Scores | 3 |
Computation | 2 |
More ▼ |
Source
American Journal of Evaluation | 3 |
Society for Research on… | 2 |
Asia Pacific Education Review | 1 |
Evaluation Review | 1 |
Grantee Submission | 1 |
Journal of Educational and… | 1 |
Journal of Experimental… | 1 |
Author
Dung Pham | 2 |
Jessaca Spybrook | 2 |
Benjamin Kelcey | 1 |
Chang, Wanchen | 1 |
Cole, Russell | 1 |
Deke, John | 1 |
E. C. Hedberg | 1 |
Eric C. Hedberg | 1 |
Huibin Zhang | 1 |
Jonathan Hood | 1 |
Joseph Taylor | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 5 | 1 |
Grade 8 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Bayley Mental Development… | 1 |
Bayley Scales of Infant… | 1 |
What Works Clearinghouse Rating
Huibin Zhang; Zuchao Shen; Walter L. Leite – Journal of Experimental Education, 2025
Cluster-randomized trials have been widely used to evaluate the treatment effects of interventions on student outcomes. When interventions are implemented by teachers, researchers need to account for the nested structure in schools (i.e., students are nested within teachers nested within schools). Schools usually have a very limited number of…
Descriptors: Sample Size, Multivariate Analysis, Randomized Controlled Trials, Correlation
Joseph Taylor; Dung Pham; Paige Whitney; Jonathan Hood; Lamech Mbise; Qi Zhang; Jessaca Spybrook – Society for Research on Educational Effectiveness, 2023
Background: Power analyses for a cluster-randomized trial (CRT) require estimates of additional design parameters beyond those needed for an individually randomized trial. In a 2-level CRT, there are two sample sizes, the number of clusters and the number of individuals per cluster. The intraclass correlation (ICC), or the proportion of variance…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Wei Li; Yanli Xie; Dung Pham; Nianbo Dong; Jessaca Spybrook; Benjamin Kelcey – Asia Pacific Education Review, 2024
Cluster randomized trials (CRTs) are commonly used to evaluate the causal effects of educational interventions, where the entire clusters (e.g., schools) are randomly assigned to treatment or control conditions. This study introduces statistical methods for designing and analyzing two-level (e.g., students nested within schools) and three-level…
Descriptors: Research Design, Multivariate Analysis, Randomized Controlled Trials, Hierarchical Linear Modeling
Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2020
This article discusses estimation of average treatment effects for randomized controlled trials (RCTs) using grouped administrative data to help improve data access. The focus is on design-based estimators, derived using the building blocks of experiments, that are conducive to grouped data for a wide range of RCT designs, including clustered and…
Descriptors: Randomized Controlled Trials, Data Analysis, Research Design, Multivariate Analysis
Cole, Russell; Deke, John; Seftor, Neil – Society for Research on Educational Effectiveness, 2016
The What Works Clearinghouse (WWC) maintains design standards to identify rigorous, internally valid education research. As education researchers advance new methodologies, the WWC must revise its standards to include an assessment of the new designs. Recently, the WWC has revised standards for two emerging study designs: regression discontinuity…
Descriptors: Educational Research, Research Design, Regression (Statistics), Multivariate Analysis
Westine, Carl D. – American Journal of Evaluation, 2016
Little is known empirically about intraclass correlations (ICCs) for multisite cluster randomized trial (MSCRT) designs, particularly in science education. In this study, ICCs suitable for science achievement studies using a three-level (students in schools in districts) MSCRT design that block on district are estimated and examined. Estimates of…
Descriptors: Efficiency, Evaluation Methods, Science Achievement, Correlation
Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models