Estimating the Root Mean Square Error of Approximation (RMSEA) with Multiply Imputed Data Under Non-Normality
Datos Bibliográficos
| ID | 12424919 |
|---|---|
| Autores | Yunhang Yin (University of South Carolina), Amanda J Fairchild (0000-0001-8668-4658, University of South Carolina), Dexin Shi (0000-0002-4120-6756, University of South Carolina), Taehun Lee (0000-0001-8261-701X, Korea University) |
| Año | 2025 |
| Volumen | 32 |
| Número | 5 |
| Páginas | 832-857 |
| Fecha de publicación | 2025-07-21 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Editorial | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2025.2515229 |
| OpenAlex | W4412531179 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 93 |
Econometrics · Mean squared error · Normality · Root mean square · Statistics · Structural equation modeling · Control Systems and Identification · Engineering · Mathematics · Statistical and numerical algorithms · Statistical Methods and Inference · Applied Mathematics
Analysis of Incomplete Multivariate Data
Flexible Imputation of Missing Data, Second Edition
The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data.
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Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit
Effects of Multivariate Non-Normality and Missing Data on the Root Mean Square Error of Approximation
The Effect of Model Size on the Root Mean Square Error of Approximation (RMSEA)
Correct Estimation Methods for RMSEA Under Missing Data
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Fitting latent growth models with small sample sizes and non-normal missing data
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Understanding the Model Size Effect on SEM Fit Indices
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis
Evaluating Close Fit in Ordinal Factor Analysis Models With Multiply Imputed Data
Multiple Imputation for Nonresponse in Surveys
Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations
Missing-Data Adjustments in Large Surveys
Accuracy in Parameter Estimation for the Root Mean Square Error of Approximation
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A Simple Simulation Technique for Nonnormal Data with Prespecified Skewness, Kurtosis, and Covariance Matrix
Adjusting Incremental Fit Indices for Nonnormality
The Relationship Between the Standardized Root Mean Square Residual and Model Misspecification in Factor Analysis Models
Presidential Address
On the Computation of the RMSEA and CFI from the Mean-And-Variance Corrected Test Statistic with Nonnormal Data in SEM
Investigating the Effect of Missing Data on the Population CFI and RMSEA values
Structural Model Evaluation and Modification
Structural Equation Modeling in Organizational Research
Univariate and multivariate skewness and kurtosis for measuring nonnormality
Estimation of Linear Models with Incomplete Data
Use of missing data methods in longitudinal studies
The unicorn, the normal curve, and other improbable creatures
Alternative Ways of Assessing Model Fit
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |