Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Grantee Submission | 6 |
Author
| Anna-Mária Fall | 1 |
| Avi Feller | 1 |
| Beach, Kristen D. | 1 |
| Benjamin Lu | 1 |
| Bocian, Kathleen M. | 1 |
| Eli Ben-Michael | 1 |
| Fuchs, Lynn S. | 1 |
| Greg Roberts | 1 |
| Grimm, Kevin J. | 1 |
| Ke-Hai Yuan | 1 |
| Liu, Haiyan | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 3 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Education | 2 |
| Adult Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 4 | 1 |
| Kindergarten | 1 |
| Secondary Education | 1 |
Audience
Location
| California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKe-Hai Yuan; Yongfei Fang – Grantee Submission, 2023
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…
Descriptors: Structural Equation Models, Regression (Statistics), Weighted Scores, Comparative Analysis
Download full textBenjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
Nancy K. Scammacca; Anna-Mária Fall; Greg Roberts – Grantee Submission, 2015
Effect sizes are commonly reported for the results of educational interventions. However, researchers struggle with interpreting their magnitude in a way that transcends generic guidelines. Effect sizes can be interpreted in a meaningful context by benchmarking them against typical growth for students in the normative distribution. Such benchmarks…
Descriptors: Reading Tests, Achievement Tests, Standardized Tests, Elementary Secondary Education
Malone, Amelia S.; Fuchs, Lynn S. – Grantee Submission, 2014
The purpose of this study was to assess the relative contribution of teacher and tutor ratings of inattentive behavior in two different instructional settings in predicting students' performance on fraction concepts and whole-number calculations. Classroom teachers rated each student's attentive behavior in a whole-class setting and tutors rated…
Descriptors: Elementary School Students, Mathematics Instruction, Teacher Attitudes, Elementary School Teachers
O'Connor, Rollanda E.; Bocian, Kathleen M.; Sanchez, Victoria; Beach, Kristen D. – Grantee Submission, 2014
In this study, we tested the outcomes of access to a Response to Intervention (RtI) model in kindergarten or in first grade on end-of-Grade-2 reading achievement and placement in special education. Across five schools, 214 students who began having access to Tier 2 intervention in kindergarten or first grade were compared in Grades 1 and 2 with…
Descriptors: Response to Intervention, Kindergarten, Young Children, Models
