Publications

2017

Chow, S., Kumar, A., Ouyang, A., Zhong, B., Lee, J., & Inverso, N. (2017). 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).

Chow, S. (2017). Factor Score and Parameter Estimation in Nonlinear Dynamical Systems Models. , 107-138. https://doi.org/10.4324/9781315091655-5

Perdikis, D., Volhard, J., Müller, V., Kaulard, K., Brick, T., Wallraven, C., & Lindenberger, U. (2017). 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

Ong, A., Benson, L., Zautra, A., & Ram, N. (2017). Emodiversity and Biomarkers of Inflammation. Emotion, 18(1), 3-14. http://doi.org/10.1037/emo0000343

2016

Hunter, M. (2016). 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. (2016). 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. (2016). Growth Modeling: Structural Equation and Multilevel Modeling Approaches. .

Fife, D., Hunter, M., & Mendoza, J. (2016). 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. (2016). 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. (2016). 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. (2016). 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

Neale, M., Hunter, M., Pritikin, J., Zahery, M., Brick, T., Kirkpatrick, R., Estabrook, R., Bates, T., Maes, H., & Boker, S. (2016). OpenMx 2.0: Extended Structural Equation and Statistical Modeling. Psychometrika, 81(2), 535-549. https://doi.org/10.1007/s11336-014-9435-8

Koffer, R., Ram, N., Conroy, D., Pincus, A., & Almeida, D. (2016). Stressor diversity: Introduction and empirical integration into the daily stress model. Psychology and Aging, 31(4), 301-320. http://doi.org/10.1037/pag0000095

Lydon-Staley, D., Ram, N., Conroy, D., Pincus, A., Geier, C., & Maggs, J. (2016). 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. (2016). 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. (2016). 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. (2016). 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. (2016). 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. (2016). 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

Vogel, N., Ram, N., Conroy, D., Pincus, A., & Gerstorf, D. (2016). How the Social Ecology and Social Situation Shape Individuals’ Affect Valence and Arousal. Emotion, 17(3), 509–527. http://doi.org/10.1037/emo0000244

Fisher, Z., Bollen, K., Lindquist, K., Doyle, C., & Gates, K. (2016). Unified Estimation of Between- and Within-Network Relationships in High-Dimensional fMRI Time Series.: Organization for Human Brain Mapping. .

Ram, N., Benson, L., Brick, T., Conroy, D., & Pincus, A. (2016). Behavioral Landscapes and Earth Mover’s Distance: A New Approach for Studying Individual Differences in Density Distributions. Journal of Research in Personality, 69, 191-205. https://doi.org/10.1016/j.jrp.2016.06.010

Snoke, J., Brick, T., & Slavković, A. (2016). Accurate estimation of structural equation models with remote partitioned data. , 190-209. https://doi.org/10.1007/978-3-319-45381-1_15

Oravecz, Z., Huentelman, M., & Vandekerckhove, J. (2016). Sequential bayesian updating for big data. , 13-33. https://doi.org/10.4324/9781315413570