Publications

Found 14 results
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Ozonoff, S., Young, G. S., Landa, R. J., Brian, J., Bryson, S., Charman, T., et al.. (2015). Diagnostic stability in young children at risk for autism spectrum disorder: a baby siblings research consortium study. Journal of Child Psychology and Psychiatry, 56(9), 988 - 998. presented at the Jan-09-2015. doi:10.1111/jcpp.2015.56.issue-910.1111/jcpp.12421
Ou, L., Chow, S. - M., Ji, L., & Molenaar, P. C. M.. (2016). (Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions. Multivariate Behavioral Research, 1 - 22. presented at the Apr-12-2017. doi:10.1080/00273171.2016.1259980
Oravecz, Z., Huentelman, M., Vandekerckhove, J., & Jones, M.. (2016). Sequential Bayesian updating for Big Data. In Big Data in Cognitive Science: From Methods to Insights (pp. 13-33). Sussex, UK: Psychology Press (Taylor & Francis).
Oravecz, Z., FAUST, K., BATCHELDER, W. H., & LEVITIS, D.. (2015). Studying the Existence and Attributes of Consensus on Psychological Concepts by a Cognitive Psychometric Model. The American Journal of Psychology, 128, 61. presented at the Jan-01-2015. doi:10.5406/amerjpsyc.128.1.0061
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. presented at the Feb-01-2016. doi:10.1080/00273171.2015.1110512
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J.. (2009). A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data. Psychometrika, 74(3), 395 - 418. presented at the Jan-09-2009. doi:10.1007/s11336-008-9106-8
Oravecz, Z., & Tuerlinckx, F.. (2011). The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences. British Journal of Mathematical and Statistical Psychology, 64(1), 134 - 160. presented at the Jan-02-2011. doi:10.1348/000711010X498621
Oravecz, Z., Anders, R., & Batchelder, W. H.. (2015). Hierarchical Bayesian Modeling for Test Theory Without an Answer Key. Psychometrika, 80(2), 341 - 364. presented at the Jan-06-2015. doi:10.1007/s11336-013-9379-4
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J.. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16(4), 468 - 490. presented at the Jan-01-2011. doi:10.1037/a0024375
Oravecz, Z., Faust, K., & Batchelder, W. H.. (2014). An Extended Cultural Consensus Theory Model to Account for Cognitive Processes in Decision Making in Social Surveys. Sociological Methodology, 444, 185 - 228. presented at the Jan-08-2014. doi:10.1177/0081175014529767
Oravecz, Z., Vandekerckhove, J., & BATCHELDER, W. H.. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207 - 222. presented at the Jan-08-2014. doi:10.1177/1525822X13520280
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. (X. Weng, Ed.)PLOS ONE, 11(4), e0152803. presented at the Jan-04-2016. doi:10.1371/journal.pone.0152803
Ong, A. D., Benson, L., Zautra, A. J., & Ram, N.. (2017). Emodiversity and Biomarkers of Inflammation. Emotion. presented at the Jan-01-2017. doi:10.1037/emo0000343