Publication Date
| In 2025 | 2 |
Descriptor
| Models | 2 |
| Nonparametric Statistics | 2 |
| Data | 1 |
| Data Analysis | 1 |
| Departments | 1 |
| Efficiency | 1 |
| Equations (Mathematics) | 1 |
| Factor Analysis | 1 |
| Foreign Countries | 1 |
| Hierarchical Linear Modeling | 1 |
| Institutional Evaluation | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkChunhua Cao; Yan Wang; Eunsook Kim – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Nonparametric Statistics, Statistical Analysis
Junming Guo; Chuanbin Liu; Han Zhang; Dan Wang; Jintao Lu – Evaluation Review, 2025
Performance management in university-based scientific research institutions is essential for driving reform, advancing education quality, and fostering innovation. However, current performance evaluation models often focus solely on research indicators, neglecting the critical interdependence between the education and research systems. This…
Descriptors: Performance Based Assessment, Institutional Evaluation, Research Universities, Scientific Research
