JOURNAL ARTICLES

Note. (*) current or former students and post-docs; (˧) undergraduate student; (§) if the corresponding author is not the first author.

  • *Dela-Cruz, K. L., Kelsey, C. M., Tong, X., & Grossmann, T. (2023). Infant and Maternal Responses to Emotional Facial Expressions: A Longitudinal Study. Infant Behavior and Development. DOI: 10.1016/j.infbeh.2023.101818.

  • ˧ Leffler, G., & §Tong. X. (2022). A Tutorial on Collecting and Processing Longitudinal Social Media Data. International Journal of Arts , Humanities & Social Science. DOI: 10.56734/ijahss.v3n10a2.

  • *Zhang, T., Tong, X., & Zhou, J. (2022). Disentangling the influence of data contamination in growth curve modeling: A median based Bayesian approach. Journal of Behavioral Data Science. DOI: 10.35566/jbds/v2n2/p1.

  • *Womack, S. R., Wilson, M. N., Tong, X., Lemery-Chalfant, K., & Shaw, D. S. (2022). Trajectories of Early Childhood Family Instability and the Development of Externalizing Behaviors from Middle Childhood to Adolescence: A Prospective Study of At-risk Families. Child Development. DOI: 10.1111/cdev.13726.

  • Snyder, A. L., Tong, X., & Lillard, A. S. (2021). Standardized Test Performance in Public Montessori Schools. Journal of School Choice: International Research and Reform. DOI: 10.1080/15582159.2021.1958058.

  • *Kim, S., §Tong, X., Zhou, J. & Boichuk, J. P. (2021). Conditional Median based Bayesian Growth Mixture Modeling for Nonnormal Data. Behavior Research Methods. DOI: 10.3758/s13428-021-01655-w.

  • Tong, X. (2021). Semiparametric Bayesian Methods in Growth Curve Modeling for Nonnormal Data Analysis. Journal of Behavioral Data Science. DOI: 10.35566/jbds/v1n1/p4.

  • Ren, L., Tong, X., Xu, W., Wu, Z., Zhou, X. & Hu, B. Y. (2021). Distinct Patterns of Organized Activity Participation and Their Associations with School Readiness among Chinese Preschoolers.  Journal of School Psychology. 86, 100-119. DOI: 10.1016/j.jsp.2021.03.007.

  • Ke, Z., & §Tong, X. (2021). Correcting for the Multiplicative and Additive Effects of Measurement Unreliability in Meta-Analysis of Correlation. Psychological Methods. DOI: 10.1037/met0000396.

  • Tong, X., & Ke, Z. (2021). Assessing the impact of precision parameter prior in Bayesian nonparametric growth curve modeling. Frontiers in Psychology. A special research topic on Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research. DOI: 10.3389/fpsyg.2021.624588.

  • *Kim, S., §Tong, X. & Ke, Z. (2021). Exploring Class Enumeration in Bayesian Growth Mixture Modeling based on Conditional Medians. Frontiers in Education. A special research topic on Advances in Mixture Modeling. DOI: 10.3389/feduc.2021.624149.

  • *Mazen, J. A. M., & Tong, X. (2020). Bias Correction for Replacement Samples in Longitudinal Research. Multivariate Behavioral Research. DOI: 10.1080/00273171.2020.1794774.

  • Tong, X., *Zhang, T., & Zhou, J. (2020). Robust Bayesian Growth Curve Modeling using Conditional Medians. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/BMSP.12216.

  • *Shi, D., & Tong, X. (2020). Mitigating Selection Bias: a Bayesian Approach to Two-stage Causal Modeling with Instrumental Variables for Nonnormal Missing Data. Sociological Methods & Research. DOI: 10.1177/0049124120914920.

  • *Shi, D., Tong, X., & *Meyer, M. J. (2020). A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Nonnormal Data in Causal Modeling: a Tutorial with the ALMOND Package in R. Frontiers in Psychology. DOI: 10.3389/fpsyg.2020.00169.

  • Tong, X., & Zhang, Z. (2020). Robust Bayesian Approaches in Growth Curve Modeling: Using Student's t Distributions versus a Semiparametric Method. Structural Equation Modeling. 27, 544-560. DOI: 10.1080/10705511.2019.1683014.

  • Taylor, L. K., Tong, X., & Maxwell, S. E. (2020). Evaluating Supplemental Samples in Longitudinal Research: Replacement and Refreshment Approaches. Multivariate Behavioral Research. 55, 277-299. DOI: 10.1080/00273171.2019.1628694.

  • Green, C. S., Bavelier, D., Kramer, A. F., Vinogradov, S., Ansorge, U., Ball, K. K., Bingel, U., Chein, J. M., Colzato, L. S., Edwards, J. D., Facoetti, A., Gazzaley, A., Gathercole, S. E., Ghisletta, P., Gori, S., Granic, I., Hillman, C. H., Hommel, B., Jaeggi, S., M., Kanske, P., Karbach, J., Kingstone, A., Kliegel, M., Klingberg, T., Kühn, S., Levi, D. M., Mayer, R. E., McLaughlin, A. C., McNamara, D. S., Morris, M. C., Nahum, M., Newcombe, N. S., Panizzutti, R., Prakash, R. S., Rizzo, A., Schubert, T., Seitz, A. R., Short, S. J., Singh, I., Slotta, J. D., Strobach, T., Thomas, M. S. C., Tipton, E., Tong, X., Vlach, H. A., Wetherell, J. L., Wexler, A., & Witt, C. M. (2019). Improving Methodological Standards in Behavioral Interventions for Cognitive Enhancement. Journal of Cognitive Enhancement. 3, 2-29. DOI: 10.1007/s41465-018-0115-y.

  • Ke, Z., Zhang, Q., & Tong, X. (2019). Bayesian Meta-Analytic SEM: A More Flexible Framework to Model Between-study Heterogeneity in Structural Parameters. Structural Equation Modeling. 26, 348-370. DOI:10.1080/10705511.2018.1530059.

  • *Mazen, J. A. M., Tong, X., & Taylor, L. K. (2019). Evaluation of Supplemental Samples in Longitudinal Research with Nonnormal Missing Data. Behavior Research Methods. 51, 1321-1335. DOI: 10.3758/s13428-018-1070-3.

  • *Shi, D., & Tong, X. (2018). Bayesian Robust Two-stage Causal Modeling with Nonnormal Missing Data. Multivariate Behavioral Research, 53, 127. (Abstract). DOI: 10.1080/00273171.2017.1404894.

  • Lillard, A. S., Heise, M. J., Richey, E., Tong, X., Hart, A. & Bray, P. (2017). Montessori Preschool Elevates and Equalizes Child Outcomes, Frontiers in Psychology. DOI: 10.3389/fpsyg.2017.01783.

  • Tong, X., & Zhang, Z. (2017). Outlying Observation Diagnostics in Growth Curve Modeling. Multivariate Behavioral Research, 52, 768-788. DOI: 10.1080/00273171.2017.1374824.

  • *Shi, D. & Tong, X (2017). The Impact of Prior Information on Bayesian Latent Basis Growth Model Estimation. Sage Open, 7, 1-14. DOI: 10.1177/2158244017727039.

  • 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: A Multidisciplinary Journal, 22, 178-192. DOI: 10.1080/10705511.2014.935750.

  • Tong, X., Zhang, Z., & Yuan, K.-H. (2014). Evaluation of Test Statistics for Robust Structural Equation Modeling with Nonnormal Missing Data. Structural Equation Modeling: A Multidisciplinary Journal, 21, 553–565. DOI: 10.1080/10705511.2014.919820.

  • Tong, X., & Zhang, Z. (2014). Semiparametric Bayesian Modeling with Application in Growth Curve Analysis. Multivariate Behavioral Research, 49, 299. (Abstract). DOI: 10.1080/00273171.2014.912928.

  • Zhang, Z., Lai, K., Lu, Z., & Tong, X. (2013). Bayesian inference and application of robust growth curve models using student’s t distribution. Structural equation modeling, 20(1), 47-78. DOI: 10.1080/10705511.2013.742382.

  • Tong, X., & Zhang, Z. (2012). Diagnostics of Robust Growth Curve Modeling using Student’s t Distribution. Multivariate Behavioral Research, 47(4), 493-518. DOI: 10.1080/00273171.2012.692614.

  • Tong, X., Zhang, Z., & Yuan, K.-H. (2011). Evaluation of Test Statistics for Robust Structural Equation Modeling with Non-normal Missing Data. Multivariate Behavioral Research, 46, 1016. (Abstract). DOI: 10.1080/00273171.2011.636715.

  • Liu, W., Tong, X., & Lin, Y. (2011). An Approximation Procedure for Stock Prices with Fractal Functions. Journal of Mathematics in Practice and Theory, 41(2), 15-24.

  • Lin, Y., & Tong, X. (2008). Fractal Fitting Research on Stock Prices. Congress on Image and Signal Processing, 4, 49-53.

REFEREED PUBLICATIONS IN PROCEEDINGS & BOOKS

  • Tong, X., Kim, S., & Ke, Z. (2022). Impact of Likelihoods and Class Enumeration in Bayesian Growth Mixture Modeling. In: Wiberg, M., Molenaar, D., González, J., Kim, JS., Hwang, H. (eds) Quantitative Psychology. IMPS 2021. Springer Proceedings in Mathematics & Statistics, vol 393. Springer, Cham. DOI: 10.1007/978-3-031-04572-1_9.

  • *Shi, D. & Tong, X. (2017). Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables using Student's t Distributions. In J. P. Tejedor (Eds.) Bayesian Inference. InTechOpen. DOI: 10.5772/intechopen.70393.

  • *Shi, D. & Tong, X. (2017). Robust Bayesian Estimation in Causal Two-Stage Least Squares Modeling with Instrumental Variables. In: van der Ark L.A., Wiberg M., Culpepper S.A., Douglas J.A., Wang WC. (eds) Quantitative Psychology. IMPS 2016. Springer Proceedings in Mathematics & Statistics. 196, 395-405. Springer, Cham. DOI: 10.1007/978-3-319-56294-0_34.

  • Tong, X. & Ke, Z. (2016). Growth Curve Modeling for Nonnormal Data: A Two-Stage Robust Approach Versus a Semiparametric Bayesian Approach. In: van der Ark L., Bolt D., Wang WC., Douglas J., Wiberg M. (eds) Quantitative Psychology Research. Springer Proceedings in Mathematics & Statistics. 167, 229-241. Springer, Cham. DOI: 10.1007/978-3-319-38759-8_17.

  • Zhang, Z., Wang, L., & Tong, X. (2015). Mediation Analysis with Missing Data Through Multiple Imputation and Bootstrap. In: van der Ark L., Bolt D., Wang WC., Douglas J., Chow SM. (eds) Quantitative Psychology Research. Springer Proceedings in Mathematics & Statistics. 140, 341-355. Springer, Cham. DOI: 10.1007/978-3-319-19977-1_24.

  • Seroczynski, A.D., Tong, X., Grundy, A., Jobst, A., & Hull, B. (2014). Quantifying the Qualitative: Using Growth Curve Models to Differentiate Moral Development among Juvenile Offenders.  Can Virtue be Measured: Proceedings of the annual conference of the Jubilee Centre for Character and Values.

OTHER PUBLICATIONS

  • Meyer, M. J., Schmidt, K. M., & Tong, X. (2022). Using the R packages rmarkdown and learnr for creating interactive websites to teach statistical analyses to Psychology students. In H. Scherschel & D. S. Rudmann (Eds.) Teaching tips: A compendium of conference presentations on teaching, 2021-22. (pp. 138-140). Society for the Teaching of Psychology. http://teachpsych.org/ebooks/teachingtips7. 

  • Tong, X. (2021). 10 Questions: An Invited Interview. LIFE Newsletter. 15 (2), 28-32.