Du, H., *Alacam, E., *Mena, S., & Keller, B. (Accepted). Compatibility in Imputation Specification. Behavior Research Methods.
Du, H., Jiang, G., & Ke, Z. (In press). A bootstrap-based between-study heterogeneity test in meta-analysis. Multivariate Behavioral Research.
Du, H., Bentler, P.M., & Rosseel, Y. (In press). Distributionally-weighted least squares in growth curve modeling. Structural Equation Modeling.
Greenfield, P.M., Brown, G., & Du, H. (In press). Shifts in ecology, behavior, values, and relationships during the coronavirus pandemic: Survival threat, subsistence activities, conservation of resources, and interdependent families. Current Research in Ecological and Social Psychology.
*Green, R., Du, H., Grodin, E. N., Nieto, S. J., Bujarski, S., Roche, D. J., & Ray, L. A. (In press). A meta‐regression of methodological features predicting the effects of pharmacotherapies on subjective response to alcohol. Alcoholism: Clinical and Experimental Research.
Reise, S.P., Du, H., *Wong, E., *Hubbard, A., & Haviland, M. (In press). The Log Logistic item response theory model and the measurement of non-cognitive constructs. Psychometrika.
Du, H., & Bentler, P.M. (In press). Distributionally-weighted least squares in structural equation modeling. Psychological Methods.
Du, H., & Enders, C. K., Keller, B. T., Bradbury, T. & Karney, B. (In press). A Bayesian latent variable selection model for nonignorable missingness. Multivariate Behavioral Research.
Ray, L. A., Du, H., Green, R., Roche, D. J. O, & Bujarski, S. (In press). Do behavioral pharmacology findings predict clinical trials outcomes? A proof-of-concept in medication development for alcohol use disorder. Neuropsychopharmacology.
Ray, L. A., Du, H., Grodin, E., Bujarski, S., Meredith, L., Ho, D., Nieto, S., & Wassum, K. (Advance online publication). Capturing habitualness of drinking and smoking behavior in humans. Drug and Alcohol Dependence.
Park, I. J. K., Du, H., Wang, L., Williams, D. R., & Alegría, M. (2020). The role of parents’ ethnic-racial socialization practices in the discrimination—depression link among Mexican-origin adolescents. Journal of Clinical Child and Adolescent Psychology, 49(3), 391-404.
Du, H., Bradbury, T.N., Lavner, J.A., Meltzer, A.L., McNulty, J.K., Neff, L.A., & Karney, B.R. (2020). A comparison of Bayesian synthesis approaches for comparing two group means. Research Synthesis Methods, 11, 36-65.
Du, H., & Wang, L. (2020). Testing variance components in linear mixed modeling using permutation. Multivariate Behavioral Research, 55(1), 120-136.
Enders, C. K., Du, H., & Keller, B. T. (2020). A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms. Psychological Methods, 25(1), 88–112.
Du, H., Edwards, M. C., & Zhang, Z. (2019). Bayes factor in one-sample tests of means with a sensitivity analysis: A discussion of separate prior distributions. Behavior Research Methods, 51(5), 1998-2021.
*Gao, M., Du, H., Davies, P. T., & Cummings, E. M. (2019). Marital conflict behaviors and parenting: Dyadic links over time. Family Relations, 68(1), 135-149.
Cummings, E. M., Taylor, L. K., Du, H., Merrilees, C. E., Goeke-Morey, M., & Shirlow, P. (2019). Examining bidirectional pathways between exposure to political violence and adolescent adjustment in Northern Ireland. Journal of Clinical Child & Adolescent Psychology, 48(2), 296-305.
*Keller, B. T., & Du, H. (2019). A fully conditional specification approach to multilevel multiple imputation with latent cluster means. Multivariate Behavioral Research, 54(1), 149-150.
Du, H., & Wang, L. (2018). Investigating reliabilities of intraindividual variability indicators with autocorrelated longitudinal data. Multivariate Behavioral Research, 53(4), 502-520.
Enders, C. K., Hayes, T., & Du, H. (2018). A comparison of multilevel imputation schemes for random coefficient models: Fully conditional specification and joint model imputation with random covariance matrices. Multivariate Behavioral Research, 53(5), 695-713.
Park, I. J. K., Du, H., Wang, L., Williams, D. R., & Alegría, M. (2018). Racial/ethnic discrimination and mental health in Mexican-origin youths and their parents: Testing the “linked lives” hypothesis. Journal of Adolescent Health, 62(4), 480-487.
Du, H., Liu, F., & Wang, L. (2017). A Bayesian” fill-in” method for correcting for publication bias in meta-analysis. Psychological Methods, 22(4), 799-817.
Du, H., & Wang, L. (2017). Investigating reliabilities of intraindividual variability indicators with autocorrelated longitudinal data (abstract). Multivariate Behavioral Research, 52(1), 120-121.
*Planalp, E.M., Du, H., Braungart-Rieker, J.M., & Wang, L. (2017). Growth curve modeling to studying change: A comparison of approaches using longitudinal dyadic data with distinguishable dyads. Structural Equation Modeling, 24(1), 129-147.
Du, H., & Wang, L. (2016). A Bayesian power analysis procedure considering uncertainty in effect size estimates from a meta-analysis. Multivariate Behavioral Research, 51(1), 589-605.
Du, H., & Wang, L. (2016). The impact of the number of dyads on estimation of dyadic data analysis using multilevel modeling. Methodology, 12(1), 21-31.
Jiang, T., Zhang, W., Wen, W., Zhu, H., Du, H., Zhu, X., Gao, X., Zhang, H., Dong, Q., & Chen, C. (2016). Reevaluating the two-representation model of numerical magnitude processing. Memory & Cognition, 44(1), 162-170.
Li, J., Zhang, B., Du, H., Zhu, Z., & Li, Y. (2015). Metacognitive planning: Development and validation of an online measure. Psychological Assessment, 27(1), 260-271.
Du, H., Pang. B., Cheng, J., & Wang, A. (2013). Comparing online advertising with newspaper advertising in different presentation conditions: The evidence of memory and eye tracking experiments. Psychological Exploration, 33(4), 380-384.
Du, H. (2012). The difference in susceptibility to negative emotion between different adult attachment styles. Journal of Occupational Health and Damage, 26(6), 339-342.
Li, J., Pang, B., Zhang, B., & Du, H. (2011). Self-regulation: From basic theories to applications. Journal of Beijing Normal University, 6, 5-13.
Du, H., Zhang, Z., & Yuan, K.-H. (2018). Power analysis for t-test with non-normal data and unequal variances. In Z. Zhang, & K.-H. Yuan, (Eds.), Practical Statistical Power Analysis using WebPower and R (pp.273-298). Grander, IN: ISDSA Press.
Du, H. (2018). Statistical power analysis for t-tests. In Z. Zhang, & K.-H. Yuan, (Eds.), Practical Statistical Power Analysis using WebPower and R (pp.49-68). Grander, IN: ISDSA Press.