| Improving methodological standards in behavioral interventions for cognitive enhancement C Shawn Green, D Bavelier, AF Kramer, S Vinogradov, U Ansorge, ... Journal of Cognitive Enhancement 3, 2-29, 2019 | 161 | 2019 |
| Montessori preschool elevates and equalizes child outcomes: A longitudinal study AS Lillard, MJ Heise, EM Richey, X Tong, A Hart, PM Bray Frontiers in psychology 8, 1783, 2017 | 143 | 2017 |
| Bayesian Inference and Application of Robust Growth Curve Models Using Student's t Distribution Z Zhang, K Lai, Z Lu, X Tong Structural Equation Modeling: A Multidisciplinary Journal 20 (1), 47-78, 2013 | 62 | 2013 |
| Diagnostics of Robust Growth Curve Modeling Using Student's t Distribution X Tong, Z Zhang Multivariate behavioral research 47 (4), 493-518, 2012 | 35 | 2012 |
| Evaluation of test statistics for robust structural equation modeling with nonnormal missing data X Tong, Z Zhang, KH Yuan Structural Equation Modeling: A Multidisciplinary Journal 21 (4), 553-565, 2014 | 30 | 2014 |
| Mediation analysis with missing data through multiple imputation and bootstrap Z Zhang, L Wang, X Tong Quantitative Psychology Research: The 79th Annual Meeting of the …, 2015 | 26 | 2015 |
| Bayesian meta-analytic SEM: A one-stage approach to modeling between-studies heterogeneity in structural parameters Z Ke, Q Zhang, X Tong Structural Equation Modeling: A Multidisciplinary Journal 26 (3), 348-370, 2019 | 20 | 2019 |
| Bias and efficiency for SEM with missing data and auxiliary variables: Two-stage robust method versus two-stage ML KH Yuan, X Tong, Z Zhang Structural Equation Modeling: A Multidisciplinary Journal 22 (2), 178-192, 2015 | 20 | 2015 |
| The impact of prior information on Bayesian latent basis growth model estimation D Shi, X Tong SAGE Open 7 (3), 2158244017727039, 2017 | 17 | 2017 |
| Distinct patterns of organized activity participation and their associations with school readiness among Chinese preschoolers L Ren, X Tong, W Xu, Z Wu, X Zhou, BY Hu Journal of School Psychology 86, 100-119, 2021 | 9 | 2021 |
| Evaluation of supplemental samples in longitudinal research with non-normal missing data JAM Mazen, X Tong, LK Taylor Behavior research methods 51, 1321-1335, 2019 | 9 | 2019 |
| Outlying observation diagnostics in growth curve modeling X Tong, Z Zhang Multivariate Behavioral Research 52 (6), 768-788, 2017 | 8 | 2017 |
| Evaluating supplemental samples in longitudinal research: Replacement and refreshment approaches LK Taylor, X Tong, SE Maxwell Multivariate Behavioral Research 55 (2), 277-299, 2020 | 6 | 2020 |
| Bias correction for replacement samples in longitudinal research JAM Mazen, X Tong Multivariate Behavioral Research 56 (5), 805-827, 2021 | 5 | 2021 |
| Robust Bayesian growth curve modelling using conditional medians X Tong, T Zhang, J Zhou British Journal of Mathematical and Statistical Psychology 74 (2), 286-312, 2021 | 5 | 2021 |
| Robust Bayesian Approaches in Growth Curve Modeling: Using Student’s t Distributions versus a Semiparametric Method X Tong, Z Zhang Structural Equation Modeling: A Multidisciplinary Journal 27 (4), 544-560, 2020 | 5 | 2020 |
| A Bayesian approach to the analysis of local average treatment effect for missing and non-normal data in causal modeling: A tutorial with the ALMOND Package in R D Shi, X Tong, MJ Meyer Frontiers in Psychology 11, 169, 2020 | 4 | 2020 |
| Bayesian robust two-stage causal modeling with nonnormal missing data D Shi, X Tong Multivariate Behavioral Research 53 (1), 127-127, 2018 | 4 | 2018 |
| Robust Bayesian estimation in causal two-stage least squares modeling with instrumental variables D Shi, X Tong Quantitative Psychology: The 81st Annual Meeting of the Psychometric Society …, 2017 | 4 | 2017 |
| Mitigating selection bias: a Bayesian approach to two-stage causal modeling with instrumental variables for nonnormal missing data D Shi, X Tong Sociological Methods & Research 51 (3), 1052-1099, 2022 | 3 | 2022 |
