Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Computation | 1 |
| Factor Analysis | 1 |
| Factor Structure | 1 |
| Item Response Theory | 1 |
| Mathematical Formulas | 1 |
| Monte Carlo Methods | 1 |
| Sample Size | 1 |
| Structural Equation Models | 1 |
Source
| Structural Equation Modeling:… | 1 |
Author
| Diep Nguyen | 1 |
| Eunsook Kim | 1 |
| Siyu Liu | 1 |
| Yan Wang | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Eunsook Kim; Diep Nguyen; Siyu Liu; Yan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Factor mixture modeling (FMM) is generally complex with both unobserved categorical and unobserved continuous variables. We explore the potential of item parceling to reduce the model complexity of FMM and improve convergence and class enumeration accordingly. To this end, we conduct Monte Carlo simulations with three types of data, continuous,…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Monte Carlo Methods

Peer reviewed
Direct link
