Multilevel Factor Mixture Modeling for Within-Level Constructs
A Simulation Study
Bibliographic Data
| ID | 12424852 |
|---|---|
| Authors | Eunsook Kim (0000-0003-1054-1735, University of South Florida, corresponding author), Chunhua Cao (0000-0003-3084-598X, University of Alabama), Yan Wang (0009-0009-9633-0023, University of Massachusetts Lowell) |
| Year | 2025 |
| Volume | 32 |
| Issue | 6 |
| Pages | 1040-1056 |
| Publication date | 2025-08-25 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2025.2543288 |
| OpenAlex | W4413565934 |
| Language | EN |
| Citations received | 1 |
| References cited | 36 |
Factor (programming language · Multilevel model · Programming language · Statistics · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Optimal Experimental Design Methods · Psychology · Psychometric Methodologies and Testing
Construct Meaning in Multilevel Settings
An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with Pims Data
Model Selection and Akaike's Information Criterion (AIC)
Latent class and finite mixture models for multilevel data sets
Modeling Unobserved Heterogeneity Using Latent Profile Analysis
Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis
Investigating population heterogeneity with factor mixture models.
Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling
Testing the number of components in a normal mixture
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling
Combined Approach to Multi-Informant Data Using Latent Factors and Latent Classes
The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models
Recommendations on the Sample Sizes for Multilevel Latent Class Models
Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling
Multilevel Factor Analysis
Multilevel Mixture Factor Models
Distinguishing Between Latent Classes and Continuous Factors
The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored
Multilevel Factor Mixture Modeling
A person‐centered approach to commitment research
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |