Publication Date
| In 2025 | 1 |
Descriptor
| Data | 1 |
| Equations (Mathematics) | 1 |
| Factor Analysis | 1 |
| Hierarchical Linear Modeling | 1 |
| Measurement | 1 |
| Models | 1 |
| Nonparametric Statistics | 1 |
| Statistical Analysis | 1 |
Author
| Chunhua Cao | 1 |
| Eunsook Kim | 1 |
| Yan Wang | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
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
