2019

Jenkins, A., Fredman, S., Le, Y., Sun, X., Brick, T., Skinner, O., & McHale, S. (). Prospective associations between depressive symptoms and marital satisfaction in Black couples. Journal of Family Psychology. https://doi.org/10.1037/fam0000573
Li, Y., Ji, L., Oravecz, Z., Brick, T., Hunter, M., & Chow, S. (). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling: eISSN:1307-6892. World Academy of Science, Engineering and Technology, International Science Index 149, 2019. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 13(5), 302-311.

2018

Yang, F., Zhong, B., Kumar, A., Chow, S., & Ouyang, A. (). Exchanging Social Support Online: A Longitudinal Social Network Analysis of Irritable Bowel Syndrome Patients’ Interactions on a Health Forum. Journalism and Mass Communication Quarterly, 95(4), 1033-1057. https://doi.org/10.1177/1077699017729815
Wilburne, J., Polly, D., Franz, D., & Wagstaff, D. (). Mathematics teachers' implementation of high-leverage teaching practices: A Q-sort study. School Science and Mathematics, 118(6), 232-243. https://doi.org/10.1111/ssm.12293
Graham-Engeland, J., Song, S., Mathur, A., Wagstaff, D., Klein, L., Whetzel, C., & Ayoub, W. (). Emotional State Can Affect Inflammatory Responses to Pain Among Rheumatoid Arthritis Patients: Preliminary Findings. Psychological Reports, 122(6), 2026-2049. https://doi.org/10.1177/0033294118796655
Ji, L., Chow, S., Schermerhorn, A., Jacobson, N., & Cummings, E. (). Handling Missing Data in the Modeling of Intensive Longitudinal Data. Structural Equation Modeling, 25(5), 715-736. https://doi.org/10.1080/10705511.2017.1417046
Benson, L., Ram, N., & Stifter, C. (). Using Fishery Models to Examine Self- and Co-Regulation Processes Across Multiple Timescales. Structural Equation Modeling: A Multidisciplinary Journal, 25(6), 906-923. http://doi.org/10.1080/10705511.2018.1491313
Chow, S., Ou, L., Ciptadi, A., Prince, E., You, D., Hunter, M., Rehg, J., Rozga, A., & Messinger, D. (). Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching. Psychometrika, 83(2), 476-510. https://doi.org/10.1007/s11336-018-9605-1
Forgeard, M., & Benson, L. (). Extracurricular involvement and psychological adjustment in the transition from adolescence to emerging adulthood: The role of mastery and creative self-efficacy. Applied Developmental Science, 201, 1-18. http://doi.org/10.1080/10888691.2017.1288124
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., Van Ravenzwaaij, D., White, C., De Boeck, P., & Vandekerckhove, J. (). Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
Batchelder, W., Anders, R., & Oravecz, Z. (). Cultural Consensus Theory: The Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Volume V: Methodology. , 221-264. https://doi.org/10.1002/9781119170174.epcn506
Lieberman, J., De Souza, M., Wagstaff, D., & Williams, N. (). Menstrual Disruption with Exercise Is Not Linked to an Energy Availability Threshold. Medicine & Science in Sports & Exercise, 50(3), 551-561. http://doi.org/10.1249/MSS.0000000000001451
Oravecz, Z., & Muth, C. (). Fitting growth curve models in the Bayesian framework. Psychonomic Bulletin and Review, 25(1), 235-255. https://doi.org/10.3758/s13423-017-1281-0
Helm, J., Castro-Schilo, L., Zavala-Rojas, D., DeCastellarnau, A., & Oravecz, Z. (). Bayesian Estimation of the True Score Multitrait–Multimethod Model With a Split-Ballot Design. Structural Equation Modeling, 25(1), 71-85. https://doi.org/10.1080/10705511.2017.1378103
Henry, T., Fisher, Z., & Bollen, K. (). Bayesian model averaging for model implied instrumental variable two stage least squares estimators. arXiv preprint arXiv:1808.10522.
Snoke, J., Brick, T., Slavković, A., & Hunte, M. (). Providing accurate models across private partitioned data: Secure maximum likelihood estimation. Annals of Applied Statistics, 12(2), 877-914. https://doi.org/10.1214/18-AOAS1171
Benson, L., Ram, N., Almeida, D., Zautra, A., & Ong, A. (). Fusing Biodiversity Metrics into Investigations of Daily Life: Illustrations and Recommendations With Emodiversity. The Journals of Gerontology: Series B, 73(1), 75–86. http://doi.org/10.1093/geronb/gbx025
Koffer, R., Ram, N., & Almeida, D. (). More than Counting: An Intraindividual Variability Approach to Categorical Repeated Measures. The Journals of Gerontology: Series B, 73(1), 87-99. http://doi.org/10.1093/geronb/gbx086
Brick, T., Koffer, R., Gerstorf, D., & Ram, N. (). Feature selection methods for optimal design of studies for developmental inquiry. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 113-123. https://doi.org/10.1093/geronb/gbx008
Oravecz, Z., Wood, J., & Ram, N. (). Fitting continuous time stochastic process models in the Bayesian framework.. Continuous Time Modeling in the Behavioral and Related Sciences, 55-78. https://doi.org/10.1007/978-3-319-77219-6_3