Presentations
Invited Lectures and Addresses
- Zhang, Z. (2023, July). Social Network Analysis in the Framework of Structural Equation Modeling. Invited talk at the Nanjing University of Posts and Telecommunications, Nanjing, China.
- Zhang, Z. (2023, July). Statistical power for linear and quadratic growth curve models with ignorable and non-ignorable missing data. Invited talk at the 2023 Annual Meeting of ISDSA, Shanghai, China.
- Zhang, Z. (2022, August, Chair). Methods and Applications of Network Science in Psychology. Invited symposium conducted at the 2022 Annual Convention of the American Psychological Association, Minneapolis, MN.
- Zhang, Z. (2022, April). Prevalence, Influences, and Handling Methods of Non-normal Data. Invited talk at the University of Southern California
- Zhang, Z. (2021, November). Social Network Analysis In The Framework Of Structural Equation Modeling. Invited talk by Data Analytics Colloquium. https://dacolloquium.com
- Zhang, Z. (2021, November). What is Data Science? Invited talk by Data Science Forum.
- Zhang, Z. (2020, November). Quantitative Psychology at the Age of Data Science. Presented to the Monday Symposium in Measurement and Statistics at University Of Maryland & the Brownbag Series of the Quantitative Psychology Program at The Ohio State University. (Online)
- Zhang, Z. (2020, July). Psychometric Models for Social Network Data Analysis. Invited talk at the 85th Annual Meeting of Psychometric Society. (Online)
- Zhang, Z. (2019, October). Measure changes in networks. Cattell Award address at the Annual Meeting of the Society of Multivariate Experimental Research, Baltimore, MA.
- Zhang, Z. (2019, August). A comparison of machine learning methods for understanding teaching evaluation comments. Invited talk at the 2019 Global Summit on Artificial Intelligence and Big Data in Education, Beijing, China.
- Zhang, Z. & Liu, H. (2019, July). Social Network Analysis in the Structural Equation Modeling Framework. Invited talk at the Yangtze Normal University, Chongqing, China.
- Zhang, Z. & Liu, H. (2019, July). A Structural Equation Modeling Framework for Social Network Analysis. Invited talk at the University of Science and Technology of China, Hefei, China.
- Zhang, Z. (2019, July). Improving teaching evaluation using text mining. Invited talk at the 2019 Meeting of the International Society for Data Science and Analytics, Nanjing, China.
- Zhang, Z. (2019, March). Stones from one hill may serve to polish the jade of another: Bridging quantitative psychology and data science. Invited talk at the Pennsylvania State University, University Park, PA.
- Zhang, Z. (2018, July). A blessing or a curse? An overview of non-normal data and missing data. Invited talk at the 2018 International Conference on Management and Operations Research, Beijing, China. [Invited keynote]
- Zhang, Z., +Ye, M., +Huang, Y., & +Sun, N. (2018, July). A longitudinal social network clustering method based on tie strength. Invited talk at the 8th International Forum on Statistics, Beijing, China.
- Zhang, Z. (2017, June). Modeling non-normal distributions in mixed-effects and multilevel models. Invited talk at the 2017 ICSA Applied Statistics Symposium, Chicago, IL.
- Zhang, Z. (2017, May). Statistical methods and software for handling non-normal data in social, behavioral and economic sciences. Invited talk at Henan University, Kaifeng, China.
- Zhang, Z. (2017, March). Two-stage Bayesian estimation in structural equation modeling. Invited talk at the ACMS Statistics Seminar, Department of ACMS, University of Notre Dame, Notre Dame, IN.
- Zhang, Z., & *Liu, H. (2016, October). Sample size planning for latent change score models through Monte Carlo simulation. Invited talk at the Conference on Advances in Longitudinal Models for Multivariate Psychology: A Festschrift for Jack McArdle, Richmond, VA.
- Zhang, Z., & Yuan, K.-H. (2015, December). Online statistical software for simple and complex models. Invited software demonstration/tutorial at the IES PI meeting, Washington, D.C.
- Zhang, Z. (2015, June). Statistical power analysis for mediation effects through WebPower. Invited talk at the Renmin University of China, Beijing, China.
- Zhang, Z. (2015, March). Bayesian factor analysis. Invited talk at the University of Southern California, Los Angeles, CA.
- Zhang, Z. (2014, September). The use of relaxed and Bayesian assumptions on error terms in dynamic models of change. Invited talk at the 2014 Society for Research in Child Development themed meeting: Developmental Methodology, San Diego, CA.
- Yuan, K.-H., *Tong, X., & Zhang, Z. (2012, July). Bias and efficiency for SEM with missing data and auxiliary variables: Robust method versus normal distribution based ML. Invited talk at the 2nd meeting of the Institute of Mathematical Statistics Asia Pacific Rim, Tsukuba, Japan.
- *Lu, Z., Zhang, Z., & Lubke, G. (2012, January). Bayesian inference for growth mixture models with latent class dependent missing data. Invited talk at the Hong Kong Institute of Education, Hong Kong, China.
- Zhang, Z. (2011, June). Introduction to Bayesian analysis. Invited lecture at the Renmin University of China, Beijing, China.
- Zhang, Z., McArdle, J. J., & Nesselroade, J. R. (2011, May). Growth rate models: Emphasizing growth rate analysis through growth curve modeling. Invited talk at the Nesselroade Festschrift, Charlottesville, VA
- Zhang, Z. (2009, July). Bayesian analysis. Invited workshop at the University of Southern California, Los Angeles, CA.
Conference Presentations
Organized Meetings
- Zhang, Z., & Yuan, K.-H. (2023, July). The 2023 ISDSA Meeting on Behavioral Data Science. Shanghai, China.
- Zhang, Z., & Yuan, K.-H. (2022, May). The 2022 ISDSA Meeting on Behavioral Data Science. Notre Dame, IN.
- Zhang, Z., & Yuan, K.-H. (2021, June). The 2021 ISDSA Meeting on Behavioral Data Science. Notre Dame, IN. (Online)
- Zhang, Z., & Yuan, K.-H. (2020, May). The 2020 Annual Meeting of the International Society for Data Science and Analytics. Notre Dame, IN. (Online)
- Zhang, Z., & Yuan, K.-H. (2019, July). The 2019 Annual Meeting of the International Society for Data Science and Analytics. Nanjing, China.
- Yuan, K.-H., & Zhang, Z. (2017, May). Statistics in social sciences: Present and future. Beijing, China.
Chaired Symposiums
- Zhang, Z., & Yuan, K.-H. (2015, May, Chaired Symposiums). Methods and software for statistical power analysis with non-normal data. Symposium conducted at the 27th Annual Convention of the Association for Psychological Science, New York, NY.
- Zhang, Z. (2014, May). New developments in Bayesian analysis. Symposium conducted at the 26th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- Zhang, Z., & Yuan, K.-H. (2012, May). Robust statistical data analysis. Symposium conducted at the 24th Annual Convention of the Association for Psychological Science, Chicago, IL.
- Zhang, Z. (2011, August). Bayesian methods for non-normal and non-ignorable missing data analysis. Symposium conducted at the 119th Annual Convention of the American Psychological Association, Washington DC.
Workshops
- Zhang, Z. (2023, July). Invited workshop on Deep Learning Using R at the 2023 ISDSA Annual Meeting. Online.
- Du, H. & Zhang, Z. (2023, May). Power Analysis. Invited workshop conducted at the 2023 Annual Convention of Association for Psychological Science, Washington DC.
- Tong, X., Du, H., & Zhang, Z. (2022, June). Workshop on Bayesian Longitudinal Data Modeling. Two-day workshop supported by the Association of Psychological Science.
- Zhang, Z. (2022, June). Workshop on Statistical Power Analysis for Structural Equation Modeling at the 2022 ISDSA Annual Meeting. Online.
- Zhang, Z. (2021, June). Workshop on Statistical Power analysis at the 2021 ISDSA Annual Meeting. Online.
- Zhang, Z. (2019, July). Data mining methods for education and psychology. Workshop conducted at the 2019 Global Summit on Artificial Intelligence and Big Data in Education, Beijing, China.
- Zhang, Z. (2016, August). Practical statistical power analysis for simple and complex models. Workshop conducted at the 124th Annual Convention of the American Psychological Association, Denver, CO.
- Zhang, Z., & Yuan K.-H. (2013, August). Robust SEM for non-normal and missing data using WebSEM. Workshop conducted at the 121th Annual Convention of the American Psychological Association, Washington DC.
- Zhang, Z. (2009, August). Introduction to Bayesian analysis. Workshop presented at the 117th Annual Convention of the American Psychological Association, Toronto, Canada.
Paper Presentations
- Zhang, Z. (2023, October). WebPower as an open system for statistical power analysis. Online presentation at the 2023 SMEP Meeting.
- +Wyman, A., & Zhang, Z. (2022, October). API Face Value: Enhancing Emotional Deficit Interventions with Emotion Detection Software. Presented at the ninety-third annual conference of the Indiana Association of the Social Sciences, Gary, IN, United States.
- *Xu, Z., *Hai, J., *Yang, Y., & Zhang, Z. (May, 2022). Comparison of Methods for Imputing Social Network Data. Paper presented at the 2022 Annual Convention of the American Psychological Association, Minneapolis, MN.
- *Xu, Z., *Hai, J., *Yang, Y., & Zhang, Z. (May, 2022). Comparison of Methods for Imputing Social Network Data. Paper presented at the 2022 Annual Meeting of the International Society for Data Science and Analytics, Notre Dame, IN, USA.
- Zhang, Z. (May, 2022). Social Network Analysis in the Framework of Structural Equation Modeling. Paper presented at the 2022 Annual Meeting of the International Society for Data Science and Analytics, Notre Dame, IN, USA.
- *Wilcox, K. T., Jacobucci, R., and Zhang, Z. (2020, July). Combining topic modeling and regression: Supervised topic modeling with covariates. Paper presented at the 85th Annual Meeting of Psychometric Society. (Online)
- *Qu, W. & Zhang, Z. (2020, July). Evaluating the effect of multivariate non-normality on confirmatory factor analysis. Paper presented at the 85th Annual Meeting of Psychometric Society. (Online)
- *Qu, W., Liu, H., & Zhang, Z. (2019, July). Permutation Test on Logistic Regression Coefficients with Social Network Data. Paper presented at the 85th Annual Meeting of Psychometric Society. Santiago, Chile.
- *Qu, W., & Zhang, Z. (2019, July). An Application of Aspect-Based Sentiment Analysis on Teaching Evaluation. Paper presented at the 2019 Annual Meeting of the International Society for Data Science and Analytics. Nanjing, China.
- Zhang, Z., +Ye, M., +Huang, Y., & +Sun, N. (2018, December). A longitudinal social network clustering method based on tie strength. Paper presented at the 2018 IEEE Big Data Conference, Seattle, WA.
- *Qu, W., *Liu, H., & Zhang, Z. (2018, July). Generation of multivariate non-normal random numbers with specified multivariate measures. Paper presented at the 2008 International Meeting of the Psychometric Society, New York, NY.
- Zhang, Z. (2017, Oct). Two-stage Bayesian estimation in structural equation modeling. Paper presented at the 2017 meeting of the Society of Multivariate Experimental Psychology, Minneapolis, MN.
- *Liu, H., & Zhang, Z. (2016, July). Logistic regression with misclassification in binary outcome variables: Method and software. Paper presented at the Annual Meeting of the Psychometric Society, Asheville, NC.
- Zhang, Z. (2016, July). Statistical power analysis for mediation with non-normal and missing data. Paper presented at the Annual Meeting of the Psychometric Society, Asheville, NC.
- *Cain, M. K., & Zhang, Z. (2016, May). Time and other considerations in mediation design. Paper presented at the 2017 Modern Modeling Methods Conference, Storrs, CT.
- Zhang, Z. (2014, May). Monte Carlo based statistical power analysis for mediation analysis with non-normal data: Methods and software. Paper presented at the 27th Annual Convention of the Association for Psychological Science, New York, NY.
- *Lu. Z., & Zhang, Z. (2014, July). Aggregating time series: Illustration through an AR(1) model. Paper presented at the 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin.
- Zhang, Z., Wang, L., & *Tong, X. (2014, July). Mediation analysis with missing data through multiple imputation and bootstrap. Paper presented at the 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin.
- *Liu, H., & Zhang, Z. (2014, July). Separating-strategy priors for covariance matrices. Paper presented at the 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin.
- *Lu, Z., Zhang, Z., & Cohen, A. (2014, May). Bayesian model selection criteria for latent growth models. Paper presented at the 26th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- *Tong, X., & Zhang, Z. (2014, May). Robust semi-parametric Bayesian methods in growth curve modeling with nonnormal data. Paper presented at the 26th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- Zhang, Z., Jiang, K., & *Liu, H. (2014, May). Bayesian meta-analysis of correlation coefficients through power prior. Paper presented at the 26th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- *Lu, Z., & Zhang, Z. (2014, April). Robust growth mixture models with non-ignorable missingness. Paper presented at the 2014 Annual Meeting of National Council on Measurement in Education, Philadelphia, Pennsylvania.
- Liu, X., Liu, F., Simon, M., & Zhang, Z. (2014, April). Are the score gains suspicious? – A Bayesian growth analysis approach. Paper presented at the 2014 Annual Meeting of National Council on Measurement in Education, Philadelphia, Pennsylvania.
- Zhang, Z., & Grimm, K. J. (2013, April). A random-coefficient latent change score model for nonlinear growth data. Paper presented at the 2013 Biennial Meeting of Society for Research in Child Development, Seattle, Washington.
- Zhang, Z., *Lai, K., *Lu, Z., & *Tong, X. (2012, May). Bayesian robust growth curve modeling based on Student's t distribution. Paper presented at the 24th Annual Convention of the Association for Psychological Science, Chicago IL.
- Yuan, K.-H., & Zhang, Z. (2012, May). Robust structural equation modeling with missing data and auxiliary variables. Paper presented at the 24th Annual Convention of the Association for Psychological Science, Chicago IL.
- *Tong, X., Zhang, Z., & Yuan, K.-H. (2012, May). Evaluation of fit statistics for robust SEM with non-normal missing data. Paper presented at the 24th Annual Convention of the Association for Psychological Science, Chicago IL.
- *Lu, Z., & Zhang, Z. (2012, May). Robust growth mixture modeling using Bayesian methods. Paper presented at the 24th Annual Convention of the Association for Psychological Science, Chicago IL.
- *Lu, Z., Zhang, Z., & Cohen, A. (2012, July). Latent growth curve models with non- ignorable missing data: Bayesian inference and model selection criteria. Paper presented at the 77th Annual International Meeting of the Psychometric Society, Lincoln, Nebraska.
- Zhang, Z. & *Lu, Z. (2012, February). Issues in aggregating time series: Illustration through an AR(1) model. Paper presented at the 2012 Society for Research in Child Development Themed Meeting: Developmental Methodology, Tampa, Florida.
- *Lu, Z., Zhang, Z., & Cohen, A. (2012, April). Latent growth curve models with non-ignorable missing data: Bayesian inference and model selection criteria. Paper presented at the 2012 Annual Meeting of the National Council on Measurement in Education (NCME), Vancouver, BC, Canada.
- *Xin, T., Zhang, Z., & Yuan, K.-H. (2011). Evaluation of test statistics for robust structural equation modeling with non-normal missing data. Paper presented at the Annual Society of Multivariate Experimental Psychology Graduate Student Pre-conference, Oklahoma.
- Zhang, Z., & Wang, L. (2011, August). Overview of full Bayesian analysis of non-ignorable missing data. Paper presented at the 119th Annual Convention of the American Psychological Association, Washington DC.
- *Lu, Z., Zhang, Z., & Lubke, G. (2011, August). Bayesian inference for growth mixture models with non-ignorable missing data. Paper presented at the 119th Annual Convention of the American Psychological Association, Washington DC.
- Wang, L. & Zhang, Z. (2011, August). Bayesian estimation and inference on mediation effects with censored data. Paper presented at the 119th Annual Convention of the American Psychological Association, Washington DC.
- *Tong, X., & Zhang, Z. (2011, August). Bayesian inference for robust growth curve modeling using t distributions. Paper presented at the 119th Annual Convention of the American Psychological Association, Washington DC.
- *Lu, Z., Zhang, Z., & Lubke, G. (2011, July) Bayesian inference for growth mixture models with latent class dependent missing data. Paper presented at the 76th Annual International Meeting of the Psychometric Society, Hong Kong, China.
- *Lu, Z., Zhang, Z., & Lubke, G. (2010, September) Bayesian inference for growth mixture models with non-ignorable missing data. Paper presented at the Annual Society of Multivariate Experimental Psychology Graduate Student Pre-conference, Atlanta, GA.
- Zhang, Z. (2010, July). Testing the invariance of latent traits in multiple group analysis. Paper presented at the 7th Conference of the International Test Commission, Hong Kong, China.
- Zhang, Z. (2009, June). Bayesian SEM: Current developments and future directions. Paper presented at the 21th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- Zhang, Z. (2007, October). Bootstrap analysis of mediation effects. Paper presented at the Annual Society of Multivariate Experimental Psychology Graduate Student Pre-conference, Chapel Hill, NC.
- Zhang, Z., & Wang, L. (2007, July). Methods evaluating mediation effect: Rationale and comparison. Paper presented at the 72nd Annual Meeting of the Psychometric Society, Tokyo, Japan.
- Wang, L., Zhang, Z., & McArdle, J. J. (2006, June). Investigating the ceiling effects in longitudinal data analysis. Paper presented at the 71st Annual Meeting of the Psychometric Society, Montreal, Canada.
- Zhang, Z., Wang, L., & Nesselroade, J. R. (2006, June). Growth rate models and Bayesian estimation. Paper presented at the 71st Annual Meeting of the Psychometric Society, Montreal, Canada.
Poster Presentations
- Parra, D., Radvansky, G.A., Zhang, Z. (2024, April). A Meta-Analysis of the Wakeful Rest Effect. The 2024 Midwestern Psychological Association Conference.
- Zhang, Z. (2018, May). A new software program for practical statistical power analysis. Poster presented at the 30th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- +Tzakis, T., *Liu, H., & Zhang, Z. (2018, May). A review of social network analysis in psychological research. Poster presented at the 30th Annual Convention of the Association for Psychological Science, San Francisco, CA.
- +Tzakis, T., & Zhang, Z. (2018, March). A review of social network analysis in psychological research. Poster presented at the 2018 Conference of Michigan Academy, Alma, MI.
- Zhang, Z. (2017, August). Practical statistical power analysis for multilevel modeling: Methods and software. Poster presented at the 125th Annual Convention of the American Psychological Association, Washington DC.
- Zhang, Z., & *Liu, H. (2017, May). Sample size planning for latent change score models through Monte Carlo simulation. Poster presented at the 30th Annual Convention of the Association for Psychological Science, Boston, MA.
- *Cain, M. K., & Zhang, Z. (2017, May). Fit for a Bayesian: An evaluation of PPP and DIC. Poster presented at the 2017 Modern Modeling Methods Conference, Storrs, CT.
- ^Mai, Y., & Zhang, Z. (2016, May). Multilevel modeling through path diagramming: An online graphical interface. Poster presented at the 28th Annual Convention of the Association for Psychological Science, Chicago, IL.
- *Liu, H., & Zhang, Z. (2016, May). Power of logistic regression with correction of misclassifications. Poster presented at the 28th APS Annual Convention of Association for Psychological Science, Chicago, IL.
- *Liu, H., & Zhang, Z. (2016, May). Power of logistic regression with correlated predictors. Poster presented at the 28th APS Annual Convention of Association for Psychological Science, Chicago, IL.
- Zhang, Z. (2016, October). Practical statistical power analysis for structural equation modeling: Methods and software. Poster presented at the 87th Annual Meeting of the Indiana Academy of the Social Sciences, Westville, IN.
- Zhang, Z., & Wang, L. (2010, August). Power analysis for linear and nonlinear growth curve modeling. Poster presented at the 118th Annual Convention of the American Psychological Association, San Diego, CA.
- Zhang, Z., & Wang, L. (2007, August). Bayesian analysis of longitudinal data using growth curve models. Poster presented at the 115th Annual Convention of the American Psychological Association, San Francisco, CA.
- Zhang, Z., McArdle, J. J., Wang, L., and Hamagami, F. (2006, August). Using WinBUGS inside SAS for Bayesian analysis. Poster presented at the 114th Annual Convention of the American Psychological Association, New Orleans, LA.
- Wang, L. & Zhang, Z. (2006, April). Memory training on individual learning performance for independent and vital older adults. Poster presented at the 19th Cognitive Aging Conference, Atlanta, GA.
- Zhang, Z., Wang, L., & Hamagami, F. (2006, April). Evaluation of the intervention of memory training on short-term learning for elderly. Poster presented at the 19th Cognitive Aging Conference, Atlanta, GA.