A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms. CK Enders, H Du, BT Keller Psychological methods 25 (1), 88, 2020 | 168 | 2020 |
Marital conflict behaviors and parenting: Dyadic links over time M Gao, H Du, PT Davies, EM Cummings Family relations 68 (1), 135-149, 2019 | 96 | 2019 |
lavaan: Latent variable analysis.[R package] Y Rosseel, TD Jorgensen, N Rockwood, D Oberski, J Byrnes, ... Retrieved fro m https://cran. r-project. org/package= lavaan, 2018 | 56 | 2018 |
Racial/ethnic discrimination and mental health in Mexican-origin youths and their parents: Testing the “linked lives” hypothesis IJK Park, H Du, L Wang, DR Williams, M Alegría Journal of Adolescent Health 62 (4), 480-487, 2018 | 44 | 2018 |
The impact of the number of dyads on estimation of dyadic data analysis using multilevel modeling H Du, L Wang Methodology, 2016 | 43 | 2016 |
The role of parents’ ethnic-racial socialization practices in the discrimination–depression link among Mexican-origin adolescents IJK Park, H Du, L Wang, DR Williams, M Alegría Journal of Clinical Child & Adolescent Psychology, 2020 | 42 | 2020 |
lavaan: Latent variable analysis (0.6-7)[Computer software] Y Rosseel, TD Jorgensen, N Rockwood, D Oberski, J Byrnes, ... Google Scholar, 2020 | 38 | 2020 |
lavaan: Latent Variable Analysis (0.6. 11).[R package] Y Rosseel, TD Jorgensen, N Rockwood, D Oberski, J Byrnes, ... | 36* | 2022 |
Growth curve modeling to studying change: A comparison of approaches using longitudinal dyadic data with distinguishable dyads EM Planalp, H Du, JM Braungart-Rieker, L Wang Structural Equation Modeling: A Multidisciplinary Journal 24 (1), 129-147, 2017 | 35 | 2017 |
Reliabilities of intraindividual variability indicators with autocorrelated longitudinal data: Implications for longitudinal study designs H Du, L Wang Multivariate Behavioral Research 53 (4), 502-520, 2018 | 34 | 2018 |
A comparison of multilevel imputation schemes for random coefficient models: fully conditional specification and joint model imputation with random covariance matrices CK Enders, T Hayes, H Du Multivariate behavioral research 53 (5), 695-713, 2018 | 32 | 2018 |
A Bayesian “fill-in” method for correcting for publication bias in meta-analysis. H Du, F Liu, L Wang Psychological methods 22 (4), 799, 2017 | 31 | 2017 |
Metacognitive planning: Development and validation of an online measure. J Li, B Zhang, H Du, Z Zhu, YM Li Psychological assessment 27 (1), 260, 2015 | 30 | 2015 |
Lavaan: latent variable analysis. R package version 0.6‐7 Y Rosseel, TD Jorgensen, N Rockwood, D Oberski, J Byrnes, ... Computer software]. https://bit. ly/3gmzbqR, 2020 | 27 | 2020 |
A Bayesian power analysis procedure considering uncertainty in effect size estimates from a meta-analysis H Du, L Wang Multivariate behavioral research 51 (5), 589-605, 2016 | 27 | 2016 |
Shifts in ecology, behavior, values, and relationships during the coronavirus pandemic: Survival threat, subsistence activities, conservation of resources, and interdependent … PM Greenfield, G Brown, H Du Current research in ecological and social psychology 2, 100017, 2021 | 26 | 2021 |
A Bayesian latent variable selection model for nonignorable missingness H Du, C Enders, BT Keller, TN Bradbury, BR Karney Multivariate behavioral research 57 (2-3), 478-512, 2022 | 21 | 2022 |
Matching IRT models to patient-reported outcomes constructs: The graded response and log-logistic models for scaling depression SP Reise, H Du, EF Wong, AS Hubbard, MG Haviland psychometrika 86, 800-824, 2021 | 20 | 2021 |
Do behavioral pharmacology findings predict clinical trial outcomes? A proof-of-concept in medication development for alcohol use disorder LA Ray, H Du, RJ Green, DJO Roche, S Bujarski Neuropsychopharmacology 46 (3), 519-527, 2021 | 20 | 2021 |
Capturing habitualness of drinking and smoking behavior in humans LA Ray, H Du, E Grodin, S Bujarski, L Meredith, D Ho, S Nieto, K Wassum Drug and alcohol dependence 207, 107738, 2020 | 17 | 2020 |