2018
Chang, B., Fisher, Z., Bollen, K., Mintz, A., Flotron, S., Borde, A., Swor, R., Peak, D., Rathlev, N., & McLean, S. (). Contributions of Minor Traumatic Brain Injury to the Development of Posttraumatic Stress Following Motor Vehicle Accident. Biological Psychiatry, 83(9).
Chen, M., Chow, S., & Hunter, M. (). Stochastic Differential Equation Models with Time-Varying Parameters. Continuous Time Modeling in the Behavioral and Related Sciences, 205--238. https://doi.org/10.1007/978-3-319-77219-6_9
Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (). Modeling intraindividual dynamics using stochastic differential equations:age differences inaffect regulation. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 171-184. https://doi.org/10.1093/geronb/gbx013
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., While, C., de Boeck, P., & Vandekerckhove, J. (). Meta-studies for robust tests of theory: Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
Gates, K., Fisher, Z., Bollen, K., & Henry, T. (). Identifying and Estimating Relations Within and Between Functional Brain Networks using MIIVsem and GIMME: Modern Modeling Methods. .
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
Garrison, S., O'Keefe, P., Hunter, M., Beasley, W., Bard, D., & Rodgers, J. (). AC'RE model: Estimating rearing effects without twins raised apart: Behavior Genetics. , 48(6), 472--472.
2017
Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (). Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation.. The journals of gerontology. Series B, Psychological sciences and social sciences, 73(1), 171-184. https://doi.org/10.1093/geronb/gbx013
Tang, N., Chow, S., Ibrahim, J., & Zhu, H. (). Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness. Psychometrika, 82(4), 875-903. https://doi.org/10.1007/s11336-017-9587-4
Chow, S., & Hoijtink, H. (). Bayesian Estimation and Modeling: Editorial to the Second Special Issue on Bayesian Data Analysis. Psychological Methods, 22(4), 609-615. https://doi.org/10.1037/met0000169
Morales, S., Ram, N., Buss, K., Cole, P., Helm, J., & Chow, S. (). Age-related changes in the dynamics of fear-related regulation in early childhood. Developmental Science, 21(5), e12633. https://doi.org/10.1111/desc.12633
Feinberg, M., Xia, M., Fosco, G., Heyman, R., & Chow, S. (). Dynamical Systems Modeling of Couple Interaction: a New Method for Assessing Intervention Impact Across the Transition to Parenthood. Prevention Science, 18(8), 887-898. https://doi.org/10.1007/s11121-017-0803-3
Westermann, S., Grezellschak, S., Oravecz, Z., Moritz, S., Lüdtke, T., & Jansen, A. (). Untangling the complex relationships between symptoms of schizophrenia and emotion dynamics in daily life: Findings from an experience sampling pilot study. Psychiatry Research, 257, 514-518. https://doi.org/10.1016/j.psychres.2017.08.023
Chow, S., Kumar, A., Ouyang, A., Zhong, B., Lee, J., & Inverso, N. (). What can physicians learn from social forums: Insights from an on-line self help and support group. 2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 1-6. https://doi.org/10.1109/ICCABS.2017.8114302
Pritikin, J., Hunter, M., von Oertzen, T., Brick, T., & Boker, S. (). Many-Level Multilevel Structural Equation Modeling: An Efficient Evaluation Strategy. Structural Equation Modeling, 24(5), 684-698. https://doi.org/10.1080/10705511.2017.1293542
Franz, D., Wilburne, J., Polly, D., & Wagstaff, D. (). The teacher action Q-sort: A card-sorting tool for professional learning. NCSM Journal for Mathematics Education Leadership, 18(2), 3-14.
Gatzke‐Kopp, L., Ram, N., Lydon-Staley, D., & DuPuis, D. (). Children's Sensitivity to Cost and Reward in Decision Making across Distinct Domains of Probability, Effort, and Delay. Journal of Behavioral Decision Making, 31, 12-24. https://doi.org/10.1002/bdm.2038
(). Prospective writing: Randomized controlled trial of an intervention for facilitating growth after adversity. The Journal of Positive Psychology, 13(6), 627-642. http://doi.org/10.1080/17439760.2017.1365161
Ram, N., Brinberg, M., Pincus, A., & Conroy, D. (). The Questionable Ecological Validity of Ecological Momentary Assessment: Considerations for Design and Analysis. Research in Human Development, 14(3), 253-270. http://doi.org/10.1080/15427609.2017.1340052
Cole, P., Bendezú, J., Ram, N., & Chow, S. (). Dynamical systems modeling of early childhood self-regulation. Emotion, 17(4), 684-699. https://doi.org/10.1037/emo0000268
Lu, Z., Chow, S., & Loken, E. (). A comparison of bayesian and frequentist model selection methods for factor analysis models. Psychological Methods, 22(2), 361-381. https://doi.org/10.1037/met0000145
Hoijtink, H., & Chow, S. (). Bayesian hypothesis testing: Editorial to the special issue on Bayesian data analysis. Psychological Methods, 22(2), 211-216. https://doi.org/10.1037/met0000143
Patterson, J., Brown, L., Wagstaff, D., & Sainburg, R. (). Limb position drift results from misalignment of proprioceptive and visual maps. Neuroscience, 346, 382-394. http://doi.org/10.1016/j.neuroscience.2017.01.040
Ou, L., Chow, S., Ji, L., & Molenaar, P. (). (Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions. Multivariate Behavioral Research, 52(2), 178-199. https://doi.org/10.1080/00273171.2016.1259980
Maisto, S., Xie, F., Witkiewitz, K., Ewart, C., Connors, G., Zhu, H., Elder, G., Ditmar, M., & Chow, S. (). How chronic self-regulatory stress, poor anger regulation, and momentary affect undermine treatment for alcohol use disorder: Integrating social action theory with the dynamic model of relapse. Journal of Social and Clinical Psychology, 36(3), 238-263. https://doi.org/10.1521/jscp.2017.36.3.238