2017
Perdikis, D., Volhard, J., Müller, V., Kaulard, K., Brick, T., Wallraven, C., & Lindenberger, U. (). Brain synchronization during perception of facial emotional expressions with natural and unnatural dynamics. PLoS One, 12(7), e0181225. https://doi.org/10.1371/journal.pone.0181225
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
Brick, T., & Prindle, J. (). Time-series Analysis: Cambridge Encyclopedia of Child Development. , 2, 201-206. https://doi.org/10.1017/9781316216491
Scott, S., Ram, N., Smyth, J., Almeida, D., & Sliwinski, M. (). Age differences in negative emotional responses to daily stressors depend on time since event. Developmental Psychology, 53(1), 177-190. http://doi.org/10.1037/dev0000257
2016
Hunter, M. (). As Good as GOLD: Gram–Schmidt Orthogonalization by Another Name. Psychometrika, 81(4), 969-991. https://doi.org/10.1007/s11336-016-9511-3
Kim, B., Chow, S., Bray, B., & Teti, D. (). Trajectories of mothers’ emotional availability: Relations with infant temperament in predicting attachment security. Attachment & Human Development, 19(1), 38-57. http://doi.org/10.1080/14616734.2016.1252780
Grimm, K., Ram, N., & Estabrook, R. (). Growth Modeling: Structural Equation and Multilevel Modeling Approaches. .
Fife, D., Hunter, M., & Mendoza, J. (). Estimating Unattenuated Correlations With Limited Information About Selection Variables: Alternatives to Case IV. Organizational Research Methods, 19(4), 593-615. https://doi.org/10.1177/1094428115625323
Doub, A., Small, M., Levin, A., LeVangie, K., & Brick, T. (). Identifying users of traditional and Internet-based resources for meal ideas: An association rule learning approach. Appetite, 103, 128-136. https://doi.org/10.1016/j.appet.2016.04.006
Chow, S., Bendezú, J., Cole, P., & Ram, N. (). A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research, 51(2), 154-184. http://doi.org/10.1080/00273171.2015.1123138
Rodgers, J., Beasley, W., Bard, D., Meredith, K., D. Hunter, M., Johnson, A., Buster, M., Li, C., May, K., Mason Garrison, S., Miller, W., van den Oord, E., & Rowe, D. (). The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research. Behavior Genetics, 46(4), 538-551. https://doi.org/10.1007/s10519-016-9785-3
Koffer, R., Ram, N., Conroy, D., Pincus, A., & Almeida, D. (). Stressor diversity: Introduction and empirical integration into the daily stress model. Psychology and Aging, 31(4), 301-320. http://doi.org/10.1037/pag0000095
Neale, M., Hunter, M., Pritikin, J., Zahery, M., Brick, T., Kirkpatrick, R., Estabrook, R., Bates, T., Maes, H., & Boker, S. (). OpenMx 2.0: Extended Structural Equation and Statistical Modeling. Psychometrika, 81(2), 535-549. https://doi.org/10.1007/s11336-014-9435-8
Lydon-Staley, D., Ram, N., Conroy, D., Pincus, A., Geier, C., & Maggs, J. (). The within-person association between alcohol use and sleep duration and quality in situ: An experience sampling study. Addictive Behaviors, 61, 68-73. http://doi.org/10.1016/j.addbeh.2016.05.018
McDonald, N., Baker, J., & Messinger, D. (). Oxytocin and parent–child interaction in the development of empathy among children at risk for autism. Developmental Psychology, 52(5), 735-745. http://doi.org/10.1037/dev0000104
Oravecz, Z., Muth, C., & Vandekerckhove, J. (). Do people agree on what makes one feel loved? A cognitive psychometric approach to the consensus on felt love. PLoS One, 11(4). https://doi.org/10.1371/journal.pone.0152803
Gangi, D., Messinger, D., Martin, E., & Cuccaro, M. (). Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention. Autism Research, 9(11), 1142-1150. http://doi.org/10.1002/aur.1623
Neale, M., Clark, S., Dolan, C., & Hunter, M. (). Regime Switching Modeling of Substance Use: Time-Varying and Second-Order Markov Models and Individual Probability Plots. Structural Equation Modeling, 23(2), 221-233. https://doi.org/10.1080/10705511.2014.979932
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (). Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model. Multivariate Behavioral Research, 51(1), 106-119. https://doi.org/10.1080/00273171.2015.1110512
Hu, Q., Hu, Q., Bezawada, S., Bezawada, S., Gray, A., Gray, A., Tucker, C., & Brick, T. (). Exploring the link between task complexity and students' affective states during engineering laboratory activities. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 0, V003T04A019–V003T04A019. https://doi.org/10.1115/DETC2016-59757
Snoke, J., Brick, T., & Slavkovic, A. (). Accurate Estimation of Structural Equation Models with Remote Partitioned Data: Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference (PSD 2016). , 190--209. https://doi.org/10.1007/978-3-319-45381-1_15
Ou, L., Chow, S., Ji, L., & Molenaar, P. (). An Examination of Initial Condition Specification in Autoregressive Latent Trajectory Models. Multivariate Behavioral Research.
Oravecz, Z., Huentelman, M., & Vandekerckhove, J. (). Sequential bayesian updating for big data. , 13-33. https://doi.org/10.4324/9781315413570
Fisher, Z., Bollen, K., Lindquist, K., Doyle, C., & Gates, K. (). Unified Estimation of Between- and Within-Network Relationships in High-Dimensional fMRI Time Series.: Organization for Human Brain Mapping. .
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