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
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
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
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
Brinberg, M., Fosco, G., & Ram, N. (). Examining inter-family differences in intra-family (parent–adolescent) dynamics using grid-sequence analysis. Journal of Family Psychology, 31(8), 994-1004. http://doi.org/10.1037/fam0000371
Lydon-Staley, D., Ram, N., Brose, A., & Schmiedek, F. (). Reduced impact of alcohol use on next-day tiredness in older relative to younger adults: A role for sleep duration. Psychology and Aging, 32(7), 642-653. http://doi.org/10.1037/pag0000198
Helm, J., Castro-Schilo, L., & Oravecz, Z. (). Bayesian Versus Maximum Likelihood Estimation of Multitrait–Multimethod Confirmatory Factor Models. Structural Equation Modeling, 24(1), 17-30. https://doi.org/10.1080/10705511.2016.1236261
Fisher, Z., Bollen, K., Gates, K., & R\"onkk\"o, M, (). MIIVsem: An R Package for Instrumental Variable Estimation of Structural Equation Models. R package version 0.5, 2.
Ong, A., Benson, L., Zautra, A., & Ram, N. (). Emodiversity and Biomarkers of Inflammation. Emotion, 18(1), 3-14. http://doi.org/10.1037/emo0000343
Oravecz, Z., Huentelman, M., & Vandekerckhove, J. (). Sequential Bayesian updating for Big Data: Big Data in Cognitive Science. , 13-33. https://doi.org/10.4324/9781315413570
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 GroupProceedings of the IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). Proceedings of the IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).