Liu, H., Jin, I.-H., Zhang, Z., & Yuan, Y. (accepted). Social network mediation analysis: A latent space approach. Psychometrika.
Che, C., Jin, I.-K., & Zhang, Z. (accepted). Network Mediation Analysis Using Model-based Eigenvalue Decomposition. Structural Equation Modeling.
Kuang, Y., Zhang, Z., Duan, B., & Zhang, P. (2020). Fuzzy Cognitive Maps-based Switched-Mode Power Supply Design Assistant System. IEEE Access, 8, 183014-183024.
Tong, X., & Zhang, Z. (2020). Robust Bayesian approaches in growth curve modeling: Using Student's t distributions versus semiparametric methods. Structural Equation Modeling, 27(4), 544-560.
Qu, W., Liu, H., & Zhang, Z. (2020). A Method of Generating Multivariate Non-normal Random Numbers with Desired Multivariate Skewness and Kurtosis. Behavior Research Methods, 52, 939–946.
Wilcox, K. T., Jacobucci, R. & Zhang, Z. (2019). Bayesian Supervised Topic Modeling with Covariates (Abstract). Multivariate Behavioral Research, DOI: 10.1080/00273171.2019.1695568
Du, H., Edwards, M., & 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.
Serang, S., Grimm, K. J., & Zhang, Z. (2019). On the Correspondence between the Latent Growth Curve and Latent Change Score Models. Structural Equation Modelling, 26(4), 623-635.
Yuan, K., Zhang, Z., & Deng, L. (2019). Fit Indices for Mean Structures with Growth Curve Models. Psychological Methods, 24(1), 36-53.
Cain, M., & Zhang, Z. (2019). Fit for a Bayesian: An evaluation of PPP and DIC for structural equation modeling.Structural Equation Modeling, 26(1), 39–50.
Liu, H., Jin, I. K., & Zhang, Z.(2018). Structural Equation Modeling of Social Networks: Specification, Estimation, and Application. Multivariate Behavioral Research, 53(5), 714–730.
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Cain, M., Zhang, Z., & Bergeman, C. S. (2018). Time and Other Considerations in Mediation Design. Educational and Psychological Measurement, 78(6), 952-972
Ke, Z., & Zhang, Z. (2018). Testing Autocorrelation and Partial Autocorrelation: Asymptotic Methods versus Resampling Techniques. British Journal of Mathematical and Statistical Psychology, 71(1), 96–116.
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Cain, M., Zhang, Z., & Yuan, K. (2017). Univariate and Multivariate Skewness and Kurtosis for Measuring Nonnormality: Prevalence, Influence and Estimation. Behavior Research Methods, 49(5), 1716–1735.
Liu, H., & Zhang, Z. (2017). Logistic Regression with Misclassification in Binary Outcome Variables: A Method and Software. Behaviormetrika, 44(2), 447–476.
Yuan, K.-H., Zhang, Z., & Zhao, Y. (2017). Reliable and More Powerful Methods for Power Analysis in Structural Equation Modeling. Structural Equation Modeling, 24(3), 315-330
Cheung, R. Y. M., Cummings, E. M., Zhang, Z., & Davies, P. (2016) Trivariate Modeling of Interparental Conflict and Adolescent Emotional Security: An Examination of Mother-Father-Child Dynamics. Journal of Youth and Adolescence, 45(11), 2336–2352.
Liu, H., Zhang, Z., & Grimm, K. J. (2016). Comparison of Inverse-Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis. Structural Equation Modeling, 23 (3), 354-367.
Zhang, Z. (2016). Modeling Error Distributions of Growth Curve Models through Bayesian Methods. Behavior Research Methods, 48(2), 427-444.
Zhang, Z. & Yuan, K.-H. (2016). Robust Coefficients Alpha and Omega and Confidence Intervals with Outlying Observations and Missing Data: Methods and Software.
Educational and Psychological Measurement, 76(3), 387–411.
http://files.eric.ed.gov/fulltext/ED575032.pdf
Merluzzi, T.V., Philip, E.J., Zhang, Z., & Sullivan, C. (2015). Perceived discrimination, coping, and quality of life for African-American and Caucasian persons with cancer. Cultural Diversity and Ethnic Minority Psychology, 21(3), 337-344.
Bernard, K., Peloso, E., Laurenceau, J-P, Zhang, Z., & Dozier, M. (2015). Examining Change in Cortisol Patterns During the 10-week Transition to a New Childcare Setting. Child Development, 86(2), 456–71.
Serang, S., Zhang, Z., Helm, J., Steele, J. S., & Grimm, K. J. (2015). Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models. Structural Equation Modelling, 22(2), 202–215.
Yuan, K.-H., Tong, X., & Zhang, Z. (2015). Bias and Efficiency for SEM with Missing Data and Auxiliary Variables: Two-Stage Robust Method versus Two-Stage ML. Structural Equation Modeling, 22(2), 178–192.
Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (2015). Using R Package RAMpath for Tracing SEM Path Diagrams and Conducting Complex Longitudinal Data Analysis.
Structural Equation Modeling, 22(1), 132–147.
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Zhang, Z. (2014b). Monte Carlo Based Statistical Power Analysis for Mediation Models: Methods and Software.
Behavior Research Methods, 46(4), 1184-1198
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Hardy, S. A., Zhang, Z., Skalski, J. E., Melling, B. S., & Brinton, C. T. (2014). Daily religious involvement, spirituality, and moral emotions. Psychology of Religion and Spirituality, 6(4), 338-348.
Tong, X., & Zhang, Z. (2014). Abstract: Semiparametric Bayesian Modeling With Application in Growth Curve Analysis. Multivariate Behavioral Research, 49, 299-299.
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Lu, Z., & Zhang, Z. (2014). Robust Growth Mixture Models with Non-ignorable Missingness: Models, Estimation, Selection, and Application.
Computational Statistics and Data Analysis, 71, 220-240.
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Grimm, K. J., Kuhl, A. P., & Zhang, Z. (2013). Measurement Models, Estimation, and the Study of Change.
Structural Equation Modeling, 20(3), 504-517, DOI:
http://dx.doi.org/10.1080/10705511.2013.797837.
Philip, E. J., Merluzzi, T. V., Zhang, Z. & Heitzmann, C. (2013). Depression and Cancer Survivorship: Importance of Coping Self-Efficacy in Post-Treatment Survivors. Psycho-Oncology, 22(5), 987-994.
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Yuan, K.-H., & Zhang, Z. (2012). Structural equation modeling diagnostics using R package semdiag and EQS.
Structural Equation Modeling: An Interdisciplinary Journal, 19(4), 683-702.
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Yuan, K.-H., & Zhang, Z. (2012). Robust Structural Equation Modeling with Missing Data and Auxiliary Variables.
Psychometrika, 77(4), 803-826.
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Tong, X., and Zhang, Z. (2012). Diagnostics of Robust Growth Curve Modeling using Student's t Distribution.
Multivariate Behavioral Research,47(4), 493-518.
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Zhang, Z., & Wang, L. (2012). A note on the robustness of a full Bayesian method for non-ignorable missing data analysis.
Brazilian Journal of Probability and Statistics, 26(3), 244-264.
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Hardy, S. A., White, J., Zhang, Z., & Ruchty, J.(2011). Parenting and the socialization of religiousness and spirituality.
Psychology of Religion and Spirituality, 3(3), 217-230. doi: 10.1037/a0021600.
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Tong, X., Zhang, Z., & Yuan, K.-H. (2011). Evaluation of Test Statistics for Robust Structural Equation Modeling with Non-normal Missing Data (Abstract). Multivariate Behavioral Research, 46(6), 1016-1016.
Zhang, Z., Browne, M. W., & Nesselroade, J. R. (2011). Higher–order factor invariance and idiographic mapping of constructs to observables.
Applied Developmental Sciences, 15(4), 186-200.
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Lu, L., Zhang, Z., & Lubke, G. (2010). Bayesian Inference For Growth Mixture Models With Non-ignorable Missing Data (Abstract). Multivariate Behavioral Research, 45(6), 1028–1028.
Winter, W. C., Hammond, W. R., Zhang, Z., & Green, N. H. (2009). Measuring circadian advantage in Major League Baseball: A 10-year retrospective study. International. Journal of Sports Physiology and Performance, 4(3) 394-401.
Hamaker, E. L., Zhang, Z., & van der Maas, H. L. J. (2009). Dyads as dynamic systems: Using threshold autoregressive models to study dyadic interactions.
Psychometrika, 74(4) 727-745.
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Zhang, Z., & Wang, L. (2009). Statistical power analysis for growth curve models using SAS.
Behavior Research Methods, 41(4), 1083-1094.
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Zhang, Z., Hamaker, E. L., & Nesselroade, J. R. (2008). Comparisons of four methods for estimating dynamic factor models.
Structural Equation Modeling, 15(3), 377-402.
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Wang, L., Zhang, Z., McArdle, J. J., & Salthouse, T. A. (2008). Investigating ceiling effects in longitudinal data analysis.
Multivariate Behavioral Research, 43(3), 476–496.
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Zhang, Z., Davis, H. P., Salthouse, T. A., & Tucker-Drob, E. A. (2007). Correlates of individual, and age-related, differences in short-term learning.
Learning and Individual Differences, 17(3), 231–240.
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Zhang, Z., Hamagami, F., Wang, L., Grimm, K. J., & Nesselroade, J. R. (2007). Bayesian analysis of longitudinal data using growth curve models.
International Journal of Behavioral Development, 31(4), 374-383.
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Zhang, Z., & Nesselroade J. R. (2007). Bayesian estimation of categorical dynamic factor models.
Multivariate Behavioral Research, 42(4), 729-756.
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