Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Bayesian Statistics | 4 |
| Predictor Variables | 4 |
| Statistical Inference | 4 |
| Simulation | 3 |
| Academic Achievement | 2 |
| Attribution Theory | 2 |
| Comparative Analysis | 2 |
| Guidelines | 2 |
| Hierarchical Linear Modeling | 2 |
| Identification | 2 |
| Longitudinal Studies | 2 |
| More ▼ | |
Source
| Grantee Submission | 1 |
| Journal of Educational and… | 1 |
| School Effectiveness and… | 1 |
| Structural Equation Modeling:… | 1 |
Author
| Hong Zhang | 2 |
| Saijun Zhao | 2 |
| Zhiyong Zhang | 2 |
| David Kaplan | 1 |
| Levy, Roy | 1 |
| Liu, Yixing | 1 |
| Mingya Huang | 1 |
| Schulte, Ann C. | 1 |
| Yel, Nedim | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
Education Level
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
Liu, Yixing; Levy, Roy; Yel, Nedim; Schulte, Ann C. – School Effectiveness and School Improvement, 2023
Although there is recognition that there may be differential outcomes for groups of students within schools, examination of outcomes for subgroups presents challenges to researchers and policymakers. It complicates analytic procedures, particularly when the number of students per school in the subgroup is small. We explored five alternatives for…
Descriptors: Growth Models, Hierarchical Linear Modeling, School Effectiveness, Academic Achievement

Peer reviewed
Direct link
