Dexin Shi
Dexin Shi
Assistant Professor of Quantitative Psychology, University of South Carolina
Adresse e-mail validée de mailbox.sc.edu
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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
1692018
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
682019
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
522018
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
332018
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
262020
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
262018
The impact of partial factorial invariance on cross-group comparisons
D Shi, H Song, MD Lewis
Assessment 26 (7), 1217-1233, 2019
242019
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
242018
Bayesian SEM for specification search problems in testing factorial invariance
D Shi, H Song, X Liao, R Terry, LA Snyder
Multivariate behavioral research 52 (4), 430-444, 2017
222017
Effect sizes of model misfit in structural equation models
A Maydeu-Olivares, D Shi
Methodology, 2017
212017
New evidence on causal relationship between approximate number system (ANS) acuity and arithmetic ability in elementary-school students: a longitudinal cross-lagged analysis
Y He, X Zhou, D Shi, H Song, H Zhang, J Shi
Frontiers in psychology 7, 1052, 2016
162016
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
132019
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
102020
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
92020
Revisiting the model size effect in structural equation modeling (SEM)
D Shi, T Lee, RA Terry
Multivariate Behavioral Research 50 (1), 142-142, 2015
92015
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
82020
Evaluating factorial invariance: An interval estimation approach using Bayesian structural equation modeling
D Shi, H Song, C DiStefano, A Maydeu-Olivares, HL McDaniel, Z Jiang
Multivariate behavioral research 54 (2), 224-245, 2019
82019
The effect of estimation methods on SEM fit indices
D Shi, A Maydeu-Olivares
Educational and Psychological Measurement 80 (3), 421-445, 2020
72020
Instrumental variable regression: A mean and covariance structure approach
A Maydeu-Olivares, Y Rosseel, D Shi
Manuscript submitted for publication, 2019
62019
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
52020
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