Publications

All publications by Johnny Zhang.

2025

  1. Structural Equation Models with Social Networks
    Ziqian Xu and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, May 2025
  2. Zero inflation in intensive longitudinal data: Why is it important and how should we deal with it?
    Sijing (S. J. ) Shao, Ziqian Xu, Qimin Liu, Kenneth McClure, Ross Jacobucci, Scott E. Maxwell, and 1 more author
    Psychological Methods, Apr 2025
  3. Evaluating the Threat of Phantom Faces in Emotion Detection AI through Simulation
    Austin Wyman and Zhiyong Zhang
    Journal of Behavioral Data Science, Aug 2025
  4. A Tutorial on the Use of Artificial Intelligence Tools for Facial Emotion Recognition in R
    Austin Wyman and Zhiyong Zhang
    Multivariate Behavioral Research, Feb 2025
  5. Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests
    Ke-Hai Yuan and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Feb 2025
  6. Bayesian Growth Curve Modeling with Measurement Error in Time
    Lijin Zhang, Wen Qu, and Zhiyong Zhang
    Multivariate Behavioral Research, Mar 2025

2024

  1. Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.
    Xiao Liu, Zhiyong Zhang, and Lijuan Wang
    Psychological Methods, May 2024
  2. Scale-Invariance, Equivariance and Dependency of Structural Equation Models
    Ke-Hai Yuan, Ling Ling, and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Jun 2024
  3. Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.
    Xiao Liu, Zhiyong Zhang, and Lijuan Wang
    Psychological Methods, May 2024
  4. Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites
    Ke-Hai Yuan, Zhiyong Zhang, and Lijuan Wang
    Psychometrika, Sep 2024
  5. Modeling Data with Measurement Errors but without Predefined Metrics: Fact versus Fallacy
    Ke-Hai Yuan and Zhiyong Zhang
    Journal of Behavioral Data Science, Aug 2024
  6. Statistical power analysis and sample size planning for moderated mediation models
    Ziqian Xu, Fei Gao, Anqi Fa, Wen Qu, and Zhiyong Zhang
    Behavior Research Methods, Feb 2024

2023

  1. Machine Learning for social and behavioral research
    R. Jacobucci, K. J. Grimm, and Z. Zhang
    Feb 2023
  2. Bayesian Inference of Dynamic Mediation Models for Longitudinal Data
    Saijun Zhao, Zhiyong Zhang, and Hong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Jul 2023
  3. The Impact of Omitting Confounders in Parallel Process Latent Growth Curve Mediation Models: Three Sensitivity Analysis Approaches
    Xiao Liu, Zhiyong Zhang, Kristin Valentino, and Lijuan Wang
    Structural Equation Modeling: A Multidisciplinary Journal, May 2023
  4. Variety and Mainstays of the R Developer Community
    Lijin Zhang, Xueyang Li, and Zhiyong Zhang
    The R Journal, Dec 2023
  5. Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates.
    Kenneth Tyler Wilcox, Ross Jacobucci, Zhiyong Zhang, and Brooke A. Ammerman
    Psychological Methods, Oct 2023
  6. API Face Value: Evaluating the Current Status and Potential of Emotion Detection Software in Emotional Deficit Interventions
    Austin Wyman and Zhiyong Zhang
    Journal of Behavioral Data Science, Jul 2023

2022

  1. bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data
    Shuigen Ming, Hong Zhang, Zhiyong Zhang, and Lijuan Wang
    Apr 2022
  2. Bayesian hypothesis testing of mediation: Methods and the impact of prior odds specifications
    Xiao Liu, Zhiyong Zhang, and Lijuan Wang
    Behavior Research Methods, May 2022
  3. Comparison of Methods for Imputing Social Network Data
    Ziqian Xu, Jiarui Hai, Yutong Yang, and Zhiyong Zhang
    Journal of Data Science, Apr 2022
  4. An Open-source WYSIWYG Web Application for Drawing Path Diagrams of Structural Equation Models
    Yujiao Mai, Ziqian Xu, Zhiyong Zhang, and Ke-Hai Yuan
    Structural Equation Modeling: A Multidisciplinary Journal, Aug 2022
  5. A New Bayesian Structural Equation Modeling Approach with Priors on the Covariance Matrix Parameter
    Haiyan Liu, Wen Qu, Zhiyong Zhang, and Hao Wu
    Journal of Behavioral Data Science, Aug 2022
  6. How to Select the Best Fit Model among Bayesian Latent Growth Models for Complex Data
    Laura Lu and Zhiyong Zhang
    Journal of Behavioral Data Science, Jun 2022

2021

  1. Kurtosis
    Zhiyong Zhang and Wen Qu
    Feb 2021
  2. Daily moral identity: Linkages with integrity and compassion
    Tobias Krettenauer, Jean Paul Lefebvre, Sam A. Hardy, Zhiyong Zhang, and Amber R. Cazzell
    Journal of Personality, Nov 2021
  3. Bayesian Approach to Non-ignorable Missingness in Latent Growth Models
    Zhenqiu Lu and Zhiyong Zhang
    Journal of Behavioral Data Science, May 2021
  4. A Note on Wishart and Inverse Wishart Priors for Covariance Matrix
    Zhiyong Zhang
    Journal of Behavioral Data Science, May 2021
  5. Social Network Mediation Analysis: A Latent Space Approach
    Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang, and Ying Yuan
    Psychometrika, Mar 2021
  6. What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula
    Zhiyong Zhang and Danyang Zhang
    Journal of Behavioral Data Science, May 2021
  7. Birds of a Feather Flock Together and Opposites Attract: The Nonlinear Relationship Between Personality and Friendship
    Haiyan Liu and Zhiyong Zhang
    Journal of Behavioral Data Science, May 2021

2020

  1. An Application of Aspect-Based Sentiment Analysis on Teaching Evaluation
    Wen Qu and Zhiyong Zhang
    In New Developments in Data Science and Data Analytics, May 2020
  2. New Developments in Data Science and Data Analytics
    Zhiyong Zhang, Ke-Hai Yuan, Yong Wen, and Jiashan Tang
    May 2020
  3. mnonr: A Generator of Multivariate Non-Normal Random Numbers
    Wen Qu and Zhiyong Zhang
    Feb 2020
  4. Network Mediation Analysis Using Model-Based Eigenvalue Decomposition
    Chang Che, Ick Hoon Jin, and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Feb 2020
  5. Fuzzy Cognitive Maps-Based Switched-Mode Power Supply Design Assistant System
    Yi Kuang, Zhiyong Johnny Zhang, Bin Duan, and Pei Zhang
    IEEE Access, Feb 2020

2019

  1. Robust Bayesian Approaches in Growth Curve Modeling: Using Student’stDistributions versus a Semiparametric Method
    Xin Tong and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Nov 2019
  2. A method of generating multivariate non-normal random numbers with desired multivariate skewness and kurtosis
    Wen Qu, Haiyan Liu, and Zhiyong Zhang
    Behavior Research Methods, Aug 2019
  3. Bayesian Supervised Topic Modeling with Covariates
    Kenneth Tyler Wilcox, Ross Jacobucci, and Zhiyong Zhang
    Multivariate Behavioral Research, Dec 2019
  4. Bayes factor in one-sample tests of means with a sensitivity analysis: A discussion of separate prior distributions
    Han Du, Michael C. Edwards, and Zhiyong Zhang
    Behavior Research Methods, Jun 2019
  5. Fit indices for mean structures with growth curve models.
    Ke-Hai Yuan, Zhiyong Zhang, and Lifang Deng
    Psychological Methods, Feb 2019

2018

  1. A Longitudinal Social Network Clustering Method Based on Tie Strength
    Zhiyong Zhang, Mao Ye, Yijie Huang, and Nan Sun
    In 2018 IEEE International Conference on Big Data (Big Data), Dec 2018
  2. Probit transformation
    Haiyan Liu and Zhiyong Zhang
    In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Dec 2018
  3. Moments of a Distribution
    Zhiyong Zhang
    In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Dec 2018
  4. Posterior Distribution
    Meghan K. Cain and Zhiyong Zhang
    In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Dec 2018
  5. Sample size and measurement occasion planning for latent change score models through Monte Carlo simulation 1
    Zhiyong Zhang and Haiyan Liu
    In Longitudinal multivariate psychology, Dec 2018
  6. Practical statistical power analysis using Webpower and R
    Zhiyong Zhang and Ke-Hai Yuan
    Dec 2018
  7. A Review of Bayesian Psychometric Modeling
    Zhiyong Zhang
    Journal of Educational and Behavioral Statistics, May 2018
  8. WebPower: Basic and Advanced Statistical Power Analysis
    Zhiyong Zhang and Yujiao Mai
    Apr 2018
  9. On the Correspondence between the Latent Growth Curve and Latent Change Score Models
    Sarfaraz Serang, Kevin J. Grimm, and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Nov 2018
  10. Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling
    Meghan K. Cain and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Jul 2018
  11. Structural Equation Modeling of Social Networks: Specification, Estimation, and Application
    Haiyan Liu, Ick Hoon Jin, and Zhiyong Zhang
    Multivariate Behavioral Research, Sep 2018
  12. Comparing Exploratory Structural Equation Modeling and Existing Approaches for Multiple Regression with Latent Variables
    Yujiao Mai, Zhiyong Zhang, and Zhonglin Wen
    Structural Equation Modeling: A Multidisciplinary Journal, Mar 2018
  13. Software Packages for Bayesian Multilevel Modeling
    Yujiao Mai and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Feb 2018

2017

  1. Statistical Power Analysis for Comparing Means with Binary or Count Data Based on Analogous ANOVA
    Yujiao Mai and Zhiyong Zhang
    Feb 2017
  2. Power Analysis for t-Test with Non-normal Data and Unequal Variances
    Han Du, Zhiyong Zhang, and Ke-Hai Yuan
    Feb 2017
  3. Advanced statistics using R
    Zhiyong Zhang and Lijuan Wang
    Feb 2017
  4. Time and Other Considerations in Mediation Design
    Meghan K. Cain, Zhiyong Zhang, and C. S. Bergeman
    Educational and Psychological Measurement, Dec 2017
  5. Testing autocorrelation and partial autocorrelation: Asymptotic methods versus resampling techniques
    Zijun Ke and Zhiyong (Johnny) Zhang
    British Journal of Mathematical and Statistical Psychology, Sep 2017
  6. Outlying Observation Diagnostics in Growth Curve Modeling
    Xin Tong and Zhiyong Zhang
    Multivariate Behavioral Research, Nov 2017
  7. Bayesian meta-analysis of correlation coefficients through power prior
    Zhiyong Zhang, Kaifeng Jiang, Haiyan Liu, and In-Sue Oh
    Communications in Statistics - Theory and Methods, Feb 2017
  8. Logistic regression with misclassification in binary outcome variables: a method and software
    Haiyan Liu and Zhiyong Zhang
    Behaviormetrika, Jul 2017
  9. Reliable and More Powerful Methods for Power Analysis in Structural Equation Modeling
    Ke-Hai Yuan, Zhiyong Zhang, and Yanyun Zhao
    Structural Equation Modeling: A Multidisciplinary Journal, Feb 2017

2016

  1. Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation
    Meghan K. Cain, Zhiyong Zhang, and Ke-Hai Yuan
    Behavior Research Methods, Oct 2016

2015

  1. Mediation Analysis with Missing Data Through Multiple Imputation and Bootstrap
    Zhiyong Zhang, Lijuan Wang, and Xin Tong
    Oct 2015
  2. Issues in Aggregating Time Series: Illustration Through an AR(1) Model
    Zhenqiu Lu and Zhiyong Zhang
    Oct 2015
  3. Model Selection Criteria for Latent Growth Models Using Bayesian Methods
    Zhenqiu Lu, Zhiyong Zhang, and Allan Cohen
    Oct 2015
  4. Trivariate Modeling of Interparental Conflict and Adolescent Emotional Security: An Examination of Mother–Father–Child Dynamics
    Rebecca Y. M. Cheung, E. Mark Cummings, Zhiyong Zhang, and Patrick T. Davies
    Journal of Youth and Adolescence, Dec 2015
  5. Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis
    Haiyan Liu, Zhiyong Zhang, and Kevin J. Grimm
    Structural Equation Modeling: A Multidisciplinary Journal, Sep 2015
  6. Modeling error distributions of growth curve models through Bayesian methods
    Zhiyong Zhang
    Behavior Research Methods, May 2015
  7. Robust Coefficients Alpha and Omega and Confidence Intervals With Outlying Observations and Missing Data: Methods and Software
    Zhiyong Zhang and Ke-Hai Yuan
    Educational and Psychological Measurement, Jul 2015
  8. Perceived discrimination, coping, and quality of life for African-American and Caucasian persons with cancer.
    Thomas V. Merluzzi, Errol J. Philip, Zhiyong Zhang, and Courtney Sullivan
    Cultural Diversity & Ethnic Minority Psychology, Jul 2015

2014

  1. Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models
    Sarfaraz Serang, Zhiyong Zhang, Jonathan Helm, Joel S. Steele, and Kevin J. Grimm
    Structural Equation Modeling: A Multidisciplinary Journal, Dec 2014
  2. Bias and Efficiency for SEM With Missing Data and Auxiliary Variables: Two-Stage Robust Method Versus Two-Stage ML
    Ke-Hai Yuan, Xin Tong, and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Sep 2014
  3. Examining Change in Cortisol Patterns During the 10‐Week Transition to a New Child‐Care Setting
    Kristin Bernard, Elizabeth Peloso, Jean‐Philippe Laurenceau, Zhiyong Zhang, and Mary Dozier
    Child Development, Oct 2014
  4. Using R Package RAMpath for Tracing SEM Path Diagrams and Conducting Complex Longitudinal Data Analysis
    Zhiyong Zhang, Fumiaki Hamagami, Kevin J. Grimm, and John J. McArdle
    Structural Equation Modeling: A Multidisciplinary Journal, Sep 2014
  5. Daily religious involvement, spirituality, and moral emotions.
    Sam A. Hardy, Zhiyong Zhang, Jonathan E. Skalski, Brent S. Melling, and Chauncy T. Brinton
    Psychology of Religion and Spirituality, Nov 2014
  6. Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data
    Xin Tong, Zhiyong Zhang, and Ke-Hai Yuan
    Structural Equation Modeling: A Multidisciplinary Journal, Jul 2014
  7. WebBUGS: Conducting Bayesian Statistical Analysis Online
    Zhiyong Zhang
    Journal of Statistical Software, Jul 2014
  8. Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models
    Hairong Song and Zhiyong Zhang
    Multivariate Behavioral Research, Jan 2014
  9. Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application
    Zhenqiu (Laura) Lu and Zhiyong Zhang
    Computational Statistics & Data Analysis, Mar 2014
  10. Abstract: Semiparametric Bayesian Modeling With Application in Growth Curve Analysis
    Xin Tong and Zhiyong Zhang
    Multivariate Behavioral Research, May 2014

2013

  1. Bayesian Methods and Model Selection for Latent Growth Curve Models with Missing Data
    Zhenqiu Lu, Zhiyong Zhang, and Allan Cohen
    May 2013
  2. Monte Carlo based statistical power analysis for mediation models: methods and software
    Zhiyong Zhang
    Behavior Research Methods, Dec 2013
  3. Bayesian growth curve models with the generalized error distribution
    Zhiyong Zhang
    Journal of Applied Statistics, Aug 2013
  4. Measurement Models, Estimation, and the Study of Change
    Kevin J. Grimm, Anthony P. Kuhl, and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Jul 2013
  5. Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories
    Kevin Grimm, Zhiyong Zhang, Fumiaki Hamagami, and Michèle Mazzocco
    Multivariate Behavioral Research, Jan 2013
  6. Bayesian Inference and Application of Robust Growth Curve Models Using Student’stDistribution
    Zhiyong Zhang, Keke Lai, Zhenqiu Lu, and Xin Tong
    Structural Equation Modeling: A Multidisciplinary Journal, Jan 2013
  7. Methods for Mediation Analysis with Missing Data
    Zhiyong Zhang and Lijuan Wang
    Psychometrika, Jan 2013

2012

  1. RAMpath: Structural Equation Modeling Using the Reticular Action Model (RAM) Notation
    Z. Zhang, J. J. McArdle, F. Hamagami, and K. J. Grimm
    Oct 2012
  2. Depression and cancer survivorship: importance of coping self‐efficacy in post‐treatment survivors
    Errol J. Philip, Thomas V. Merluzzi, Zhiyong Zhang, and Carolyn A. Heitzmann
    Psycho-Oncology, May 2012
  3. Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
    Ke-Hai Yuan and Zhiyong Zhang
    Psychometrika, Oct 2012
  4. Diagnostics of Robust Growth Curve Modeling Using Student’stDistribution
    Xin Tong and Zhiyong Zhang
    Multivariate Behavioral Research, Jul 2012
  5. Structural Equation Modeling Diagnostics Using R Package semdiag and EQS
    Ke-Hai Yuan and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Oct 2012
  6. A note on the robustness of a full Bayesian method for nonignorable missing data analysis
    Zhiyong Zhang and Lijuan Wang
    Brazilian Journal of Probability and Statistics, Aug 2012
  7. Growth rate models: emphasizing growth rate analysis through growth curve modeling
    Zhiyong Zhang, John J. McArdle, and John R. Nesselroade
    Journal of Applied Statistics, Jun 2012

2011

  1. A Bayesian discrete dynamic system by latent difference score structural equations models for multivariate repeated measures data
    Fumiaki Hamagami, Zhiyong Johnny Zhang, and John J McArdle
    In Statistical Methods for Modeling Human Dynamics, Jun 2011
  2. Longitudinal mediation analysis of training intervention effects
    Lijuan Wang, Zhiyong Zhang, and Ryne Estabrook
    In Statistical Methods for Modeling Human Dynamics, Jun 2011
  3. rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
    Zhiyong Zhang and Ke-Hai Yuan
    Oct 2011
  4. bmem: Mediation Analysis with Missing Data Using Bootstrap
    Zhiyong Zhang and Lijuan Wang
    Apr 2011
  5. Abstract: Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data
    Xin Tong, Zhiyong Zhang, and Ke-Hai Yuan
    Multivariate Behavioral Research, Nov 2011
  6. Estimating and Testing Mediation Effects with Censored Data
    Lijuan Wang and Zhiyong Zhang
    Structural Equation Modeling: A Multidisciplinary Journal, Jan 2011
  7. Parenting and the socialization of religiousness and spirituality.
    Sam A. Hardy, Jennifer A. White, Zhiyong Zhang, and Joshua Ruchty
    Psychology of Religion and Spirituality, Aug 2011
  8. Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data
    Zhenqiu Laura Lu, Zhiyong Zhang, and Gitta Lubke
    Multivariate Behavioral Research, Jul 2011
  9. Higher-Order Factor Invariance and Idiographic Mapping of Constructs to Observables
    Zhiyong Zhang, Michael W. Browne, and John R. Nesselroade
    Applied Developmental Science, Oct 2011

2010

  1. Abstract: Bayesian Inference for Growth Mixture Models With Nonignorable Missing Data
    Zhenqiu Laura Lu, Zhiyong Johnny Zhang, and Gitta Lubke
    Multivariate Behavioral Research, Nov 2010

2009

  1. Measuring Circadian Advantage in Major League Baseball: A 10-Year Retrospective Study
    W. Christopher Winter, William R. Hammond, Noah H. Green, Zhiyong Zhang, and Donald L. Bliwise
    International Journal of Sports Physiology and Performance, Sep 2009
  2. Using Threshold Autoregressive Models to Study Dyadic Interactions
    Ellen L. Hamaker, Zhiyong Zhang, and Han L. J. Maas
    Psychometrika, Dec 2009
  3. Statistical power analysis for growth curve models using SAS
    Zhiyong Zhang and Lijuan Wang
    Behavior Research Methods, Nov 2009

2008

  1. Methods for evaluating mediation effects: Rationale and comparison
    Zhiyong Zhang and Lijuan Wang
    In New trends in psychometrics, Nov 2008
  2. Comparisons of Four Methods for Estimating a Dynamic Factor Model
    Zhiyong Zhang, Ellen L. Hamaker, and John R. Nesselroade
    Structural Equation Modeling: A Multidisciplinary Journal, Jul 2008
  3. A SAS Interface for Bayesian Analysis With WinBUGS
    Zhiyong Zhang, John J. McArdle, Lijuan Wang, and Fumiaki Hamagami
    Structural Equation Modeling: A Multidisciplinary Journal, Oct 2008
  4. Investigating Ceiling Effects in Longitudinal Data Analysis
    Lijuan Wang, Zhiyong Zhang, John J. McArdle, and Timothy A. Salthouse
    Multivariate Behavioral Research, Sep 2008

2007

  1. Correlates of individual, and age-related, differences in short-term learning
    Zhiyong Zhang, Hasker P. Davis, Timothy A. Salthouse, and Elliot M. Tucker-Drob
    Learning and Individual Differences, Jul 2007
  2. Bayesian analysis of longitudinal data using growth curve models
    Zhiyong Zhang, Fumiaki Hamagami, Lijuan Lijuan Wang, John R. Nesselroade, and Kevin J. Grimm
    International Journal of Behavioral Development, Jul 2007
  3. Bayesian Estimation of Categorical Dynamic Factor Models
    Zhiyong Zhang and John R. Nesselroade
    Multivariate Behavioral Research, Dec 2007