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Dexin Shi
Dexin Shi
Associate Professor of Quantitative Psychology, University of South Carolina
Bestätigte E-Mail-Adresse bei mailbox.sc.edu
Titel
Zitiert von
Zitiert von
Jahr
Understanding the model size effect on SEM fit indices
D Shi, T Lee, A Maydeu-Olivares
Educational and psychological measurement 79 (2), 310-334, 2019
8572019
Examination of the weighted root mean square residual: Evidence for trustworthiness?
C DiStefano, J Liu, N Jiang, D Shi
Structural Equation Modeling: A Multidisciplinary Journal 25 (3), 453-466, 2018
4712018
Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA
D Shi, A Maydeu-Olivares, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 27 (1), 1-15, 2020
3132020
The effect of estimation methods on SEM fit indices
D Shi, A Maydeu-Olivares
Educational and psychological measurement 80 (3), 421-445, 2020
2872020
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.
T Lee, D Shi
Psychological Methods 26 (4), 466, 2021
2352021
Assessing fit in structural equation models: A Monte-Carlo evaluation of RMSEA versus SRMR confidence intervals and tests of close fit
A Maydeu-Olivares, D Shi, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 25 (3), 389-402, 2018
2102018
Using the standardized root mean squared residual (SRMR) to assess exact fit in structural equation models
G Pavlov, A Maydeu-Olivares, D Shi
Educational and Psychological Measurement 81 (1), 110-130, 2021
1922021
The relationship between the standardized root mean square residual and model misspecification in factor analysis models
D Shi, A Maydeu-Olivares, C DiStefano
Multivariate Behavioral Research 53 (5), 676-694, 2018
1482018
Evaluating SEM model fit with small degrees of freedom
D Shi, C DiStefano, A Maydeu-Olivares, T Lee
Multivariate behavioral research 57 (2-3), 179-207, 2022
1272022
Examining chi-square test statistics under conditions of large model size and ordinal data
D Shi, C DiStefano, HL McDaniel, Z Jiang
Structural Equation Modeling: A Multidisciplinary Journal 25 (6), 924-945, 2018
942018
Collapsing categories is often more advantageous than modeling sparse data: Investigations in the CFA framework
C DiStefano, D Shi, GB Morgan
Structural Equation Modeling: A Multidisciplinary Journal 28 (2), 237-249, 2021
862021
Assessing cutoff values of SEM fit indices: Advantages of the unbiased SRMR index and its cutoff criterion based on communality
C Ximénez, A Maydeu-Olivares, D Shi, J Revuelta
Structural Equation Modeling: A Multidisciplinary Journal 29 (3), 368-380, 2022
812022
Fitting latent growth models with small sample sizes and non-normal missing data
D Shi, C DiStefano, X Zheng, R Liu, Z Jiang
International Journal of Behavioral Development 45 (2), 179-192, 2021
792021
Fitting ordinal factor analysis models with missing data: A comparison between pairwise deletion and multiple imputation
D Shi, T Lee, AJ Fairchild, A Maydeu-Olivares
Educational and Psychological Measurement 80 (1), 41-66, 2020
782020
Revisiting the model size effect in structural equation modeling
D Shi, T Lee, RA Terry
Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 21-40, 2018
782018
Instrumental variables two-stage least squares (2SLS) vs. maximum likelihood structural equation modeling of causal effects in linear regression models
A Maydeu-Olivares, D Shi, Y Rosseel
Structural Equation Modeling: A Multidisciplinary Journal 26 (6), 876-892, 2019
742019
Estimating the maximum likelihood root mean square error of approximation (RMSEA) with non-normal data: A Monte-Carlo study
C Gao, D Shi, A Maydeu-Olivares
Structural Equation Modeling: A Multidisciplinary Journal 27 (2), 192-201, 2020
692020
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.
A Maydeu-Olivares, D Shi, AJ Fairchild
Psychological methods 25 (2), 243, 2020
682020
The impact of partial factorial invariance on cross-group comparisons
D Shi, H Song, MD Lewis
Assessment 26 (7), 1217-1233, 2019
682019
Chi-square difference tests for comparing nested models: An evaluation with non-normal data
G Pavlov, D Shi, A Maydeu-Olivares
Structural Equation Modeling: A Multidisciplinary Journal 27 (6), 908-917, 2020
672020
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