| Oravecz, Z., & Vandekerckhove, J. (2020). A joint process model of consensus and longitudinal dynamics. Journal of Mathematical Psychology, 98, 102386. DOI: 10.1016/j.jmp.2020.102386. |  |
| Leonard, K.S., Evans, M.B., Oravecz, Z., Smyth, J. M., & Symons Downs, D. (2020). Effect of Technology-Supported Interventions on Prenatal Gestational Weight Gain, Physical Activity, and Healthy Eating Behaviors: a Systematic Review and Meta-analysis.Journal of Technology in Behavioral Science. DOI: 10.1007/s41347-020-00155-6. | |
Heshmati, S., Oravecz, Z., Brick, T. R., & Roeser, R. W. (2020). Assessing psychological well-being in early adulthood: Empirical evidence for the structure of daily well-being via network analysis. Applied Developmental Science. DOI: 10.1080/10888691.2020.1766356 | |
| Oravecz, Z., Dirsmith, J., Heshmati, S., Vandekerckhove, J., & Brick, T. R. (2020). Psychological well-being and personality traits are associated with experiencing love in everyday life. Personality and Individual Differences, 153, 109620. DOI: 10.1016/j.paid.2019.109620. | |
| Osotsi, A., Oravecz, Z., Lu, Q., Smyth, J. M., & Brick, T. R. (2020). Individualized modeling to distinguish between high and low arousal states using physiological data. Journal of Healthcare Informatics Research, 4, 91-109. DOI: 10.1007/s41666-019-00064-1 | |
| Booij, S., Wigman, J., Jacobs, N., Thiery, E., Derom, C., Wichers, M., & Oravecz, Z. (2020). Cortisol dynamics in depression: application of a continuous-time process model. Psychoneuroendocrinology, 115. 104598. DOI: 10.1016/j.psyneuen.2020.104598 | |
| Ji, L., Chen, M., Oravecz, Z., Lu, Z.-H., & Chow, S.-M. (2019). A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling. 1-26. DOI: 10.1080/10705511.2019.1623681 | |
| Oravecz, Z., & Brick, T. R. (2019). Associations Between Slow- and Fast-Timescale Indicators of Emotional Functioning. Social Psychological and Personality Science. 10(7), 864-873. | |
Li, Y., Ji, L., Oravecz, Z., Hunter, M., Brick, T. R., & Chow, S.-M. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 13(5), 302-311. | |
| Heshmati, S., Oravecz, Z., Pressman, S., Batchelder, W., Muth, C., & Vandekerckhove, J. (2019). What does it mean to feel “loved”? Cultural agreement and individual differences. Journal of Social and Personal Relationships. 36(1), 214–243. | |
| Roberts, N., Oravecz, Z., Sprague, B., & Geier, C. (2019). A Novel Hierarchical LATER Process Model: Evaluating Latent Sources of Variation in Reaction Times of Adult Daily Smokers. Frontiers in Psychiatry. 10, 474. | |
| Kolanowski, A., Behrens, L., Lehman, E., Oravecz, Z., Resnick, B., Boltz, M., Van Haitsma, K., Galick, E., Ellis, J., & Eshragi, K. (2019): Living Well With Dementia: Factors Associated with Nursing Home Residents’ Affect Balance. Research in Gerontological Nursing. DOI: 10.3928/19404921-20190823-01 | |
| Oravecz, Z., Wood, J., & Ram, N. (2018). Fitting continuous time stochastic process models in the Bayesian framework. In van Montfort, Oud, & Voelkle. Continuous Time Modeling in the Behavioral and Related Sciences, 55-78. | |
| Batchelder, W. H., Anders, R., & Oravecz, Z. (2018): Cultural Consensus Theory. In Eric-Jan Wagenmakers & John T. Wixted (Eds.), The Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, Volume V: Methodology (p. 221-264). New York, NY: John Wiley & Sons. | |
| Anders, R., Oravecz, Z. & Alarioa, F.-X. (2018): Improved Information Pooling for Hierarchical Cognitive Models through Multiple and Covaried Regression. Behavior Research Methods. 50(3), 989-1010. | |
| Oravecz, Z., & Muth, C. (2018): Fitting growth curve models in the Bayesian framework. Psychonomic Bulletin and Review. 25(1), 235-255. | |
| Muth, C., Oravecz, Z., & Gabry, J. (2018): User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan. The Quantitative Methods for Psychology. 14(2), 99-119. | |
| Baribault, B., Donkin, C., Little, D. R., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C. N., de Boeck, P., & Vandekerckhove, J. (2018): Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences. 115(11), 2607-2612. | |
| Helm, J., Castro-Schilo, L., DeCastellarnau, A., Zavala-Rojas, D., & Oravecz, Z. (2018): Bayesian Estimation for the True Score Multitrait-Multimethod Model with a Split-Ballot Design. Structural Equation Modeling, 25 (1), 71-85. | |
| Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S.-M., Cole, P., Conroy, D., E., Pincus, A., L., & Ram, N. (2017): Modeling Intraindividual Dynamics using Stochastic Differential Equations: An Examination of Age-Related Differences in Affect Regulation. Journal of Gerontology: Psychological Sciences, 73 (1), 171-184. | |
| Westerman, S., Grezellschak, S., Oravecz, Z., Moritz, S., Lüdtke, T., & Jansen, A. (2017): 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. | |
| Oravecz, Z., Huentelman, M. , & Vandekerckhove, J. (2017): Sequential Bayesian updating for Big Data. In M. Jones (Ed.), Big Data in Cognitive Science (pp. 13-33). Sussex, UK: Psychology Press (Taylor & Francis). | |
| Helm, J. L, Castro-Schilo, L., & Oravecz, Z. (2017): Bayesian Versus Maximum Likelihood Estimation of Multitrait-Multimethod Confirmatory Factor Models. Structural Equation Modeling, 24 (1), 17-30. | |
| Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2016): Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model. Multivariate Behavioral Research, 51, 106-119. | |
| Oravecz, Z., Muth, C., & Vandekerckhove, J. (2016): Do people agree on what makes one feel loved? A cognitive psychometric approach to explore consensus on felt love. PLoS ONE, 11, (4). | |
| Oravecz, Z., Anders, R. & Batchelder, W. (2015). Hierarchical Bayesian modeling for test theory without an answer key. Psychometrika, 80, 341-364. | |
| Oravecz, Z., Faust, K., Levitis, D., & Batchelder, W. (2015). Studying the existence and attributes of consensus on psychological concepts by a cognitive psychometric model. American Journal of Psychology, 128, 61-75. | |
| Ebner-Priemer, U., Houben, M., Santangelo, P., Kleindienst, N., Tuerlinckx, F., Oravecz, Z., Verleysen, G., Van Deun, K., Bohus, M., & Kuppens, P. (2015). Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence. Journal of Abnormal Psychology, 124, 186-198. | |
| Loken, E., Oravecz, Z., Tucker, C., & Linder, F. J. (2015). Psychometric Analysis of Residence and MOOC Assessments. Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington 10.18260/p.24621. | |
| Anders, R., Oravecz, Z., & Batchelder, W. (2014). Cultural Consensus Theory for Continuous Responses- A Latent Appraisal Model for Information Pooling. Journal of Mathematical Psychology, 61, 1-13. | |
| Oravecz, Z., Faust, K. & Batchelder, W. (2014). An extended Cultural Consensus Theory model to account for cognitive processes for decision making in social surveys. Sociological Methodology, 44, 185-228. | |
| Oravecz, Z., Vandekerckhove, J. & Batchelder, W. (2014). User’ guide to Bayesian Cultural Consensus Toolbox (online supplement). | |
| Oravecz, Z., Vandekerckhove, J. & Batchelder, W. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26, 207-222. | |
| 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, 134-160. doi:10.1348/000711010X498621 | |
| Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16, 468-490. doi:10.1037/a0024375 | |
| Kuppens, P., Oravecz, Z., & Tuerlinckx, F. (2010). Feelings change: Accounting for individual differences in the temporal dynamics of affect. Journal of Personality and Social Psychology, 99, 1042-1060. doi:10.1037/a0020962 | |
| Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2009). A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data. Psychometrika, 74, 395-418. doi:10.1007/s11336-008-9106-8 | |