Presentations

Invited Lectures and Addresses

  1. 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.
  2. Zhang, Z. & Liu, H. (2019, July). Social Network Analysis in the Structural Equation Modeling Framework. Invited talk at the Yangtze Normal University, Chongqing, China.
  3. 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.
  4. 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.
  5. 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.
  6. 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]
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Zhang, Z. (2015, June). Statistical power analysis for mediation effects through WebPower. Invited talk at the Renmin University of China, Beijing, China.
  14. Zhang, Z. (2015, March). Bayesian factor analysis. Invited talk at the University of Southern California, Los Angeles, CA.
  15. 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.
  16. 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.
  17. *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.
  18. Zhang, Z. (2011, June). Introduction to Bayesian analysis. Invited lecture at the Renmin University of China, Beijing, China.
  19. 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
  20. Zhang, Z. (2009, July). Bayesian analysis. Invited workshop at the University of Southern California, Los Angeles, CA.

 

Conference Presentations

Organized Meetings

  1. Zhang, Z., & Yuan, K.-H. (2019, July). The 2019 Annual Meeting of the International Society for Data Science and Analytics. Nanjing, China.
  2. Yuan, K.-H., & Zhang, Z. (2017, May). Statistics in social sciences: Present and future. Beijing, China.

Chaired Symposiums

  1. 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.
  2. 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.
  3. 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.
  4. 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

  1. 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.
  2. Zhang, Z. (2016, August). Practical statistical power analysis for simple and complex models. Workshop conducted at the 122th Annual Convention of the American Psychological Association, Denver, CO.
  3. Zhang, Z., & Yuan K.-H. (2013, August). Robust SEM for non-normal and missing data using WebSEM. Workshop conducted at the 119th Annual Convention of the American Psychological Association, Washington DC.
  4. Zhang, Z. (2009, August). Introduction to Bayesian analysis. Workshop presented at the 117th Annual Convention of the American Psychological Association, Toronto, Canada.

 

Paper Presentations

  1. 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.
  2. *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.
  3. 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.
  4. *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.
  5. 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.
  6. *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.
  7. 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.
  8. *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.
  9. 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.
  10. *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.
  11. *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.
  12. *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.
  13. 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.
  14. *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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. *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.
  20. *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.
  21. *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.
  22. 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.
  23. *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.
  24. *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.
  25. 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.
  26. *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.
  27. 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.
  28. *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.
  29. *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.
  30. *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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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

  1. 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.
  2. +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.
  3. +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.
  4. 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.
  5. 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.
  6. *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.
  7. ^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.
  8. *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.
  9. *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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.