2015
Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J., Cristani, M., Fuhrmann, F., Gilmartin, E., Hammal, Z., Heylen, D., Kaiser, R., Koutsombogera, M., Potamianos, A., Renals, S., Riccardi, G., & Salah, A. (). Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. Cognitive Computation, 7(4), 397-413. http://doi.org/10.1007/s12559-015-9326-z
Chow, S., Witkiewitz, K., Grasman, R., & Maisto, S. (). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142-164. https://doi.org/10.1037/a0038962
Ebner-Priemer, U., Houben, M., Santangelo, P., Kleindienst, N., Tuerlinckx, F., Oravecz, Z., Verleysen, G., Van Deun, K., Bohus, M., & Kuppens, P. (). Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence. Journal of Abnormal Psychology, 124(1), 186-198. https://doi.org/10.1037/abn0000021
Mårtensson, J., Eriksson, J., Brick, T., Lindgren, M., Johansson, M., Nyberg, L., & Lovdén, M. (). Proficiency and brain structure during intense language learning: Microstructures of Learning Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. .
Oravecz, Z., Faust, K., Batchelder, W., & Levitis, D. (). Studying the existence and attributes of consensus on psychological concepts by a cognitive psychometric model. American Journal of Psychology, 128(1), 61-75. https://doi.org/10.5406/amerjpsyc.128.1.0061
Koffer, R., Koffer, R., Ram, N., Brick, T., Almeida, D., & Tucker, C. (). MACHINE LEARNING AND GERONTOLOGY: BOOSTED REGRESSION TREES PREDICT AGE DIFFERENCES IN STRESSOR EXPERIENCE: GERONTOLOGIST. , 55(0), 461--462. https://doi.org/10.1093/geront/gnv195.10
Van der Ark, A., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Quantitative Psychology Research. . https://doi.org/10.1007/978-3-319-07503-7
Conroy, D., Ram, N., Pincus, A., Coffman, D., Lorek, A., Rebar, A., & Roche, M. (). Daily physical activity and alcohol use across the adult lifespan. Health Psychology, 34(6), 653-660. http://doi.org/10.1037/hea0000157
Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Preface. Springer Proceedings in Mathematics and Statistics, 140, V. https://doi.org/10.1007/978-3-319-19977-1
Fisher, Z., & Tipton, E. (). robumeta: An R-package for Robust Variance Estimation in Meta-analysis. arXiv preprint arXiv:1503.02220.
Boker, S., Brick, T., Pritikin, J., Wang, Y., von Oertzen, T., Brown, D., Lach, J., Estabrook, R., Hunter, M., Maes, H., & Neale, M. (). Maintained individual data distributed likelihood estimation (MIDDLE). Multivariate Behavioral Research, 50(6), 706-720. https://doi.org/10.1080/00273171.2015.1094387
Loken, E., Oravecz, Z., Tucker, C., & Linder, F. (). Psychometric analysis of residence and MOOC assessments. ASEE Annual Conference and Exposition, Conference Proceedings, 122(122). https://doi.org/10.18260/p.24621
2014
Conroy, D., Ram, N., Pincus, A., & Rebar, A. (). Bursts of Self-Conscious Emotions in the Daily Lives of Emerging Adults. Self and Identity, 14(3), 290-313. http://doi.org/10.1080/15298868.2014.983963
Oravecz, Z., Vandekerckhove, J., & Batchelder, W. (). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207-222. https://doi.org/10.1177/1525822X13520280
Anders, R., Oravecz, Z., & Batchelder, W. (). Cultural consensus theory for continuous responses: A latent appraisal model for information pooling. Journal of Mathematical Psychology, 61, 1-13. https://doi.org/10.1016/j.jmp.2014.06.001
Zhang, G., Browne, M., Ong, A., & Chow, S. (). Analytic Standard Errors for Exploratory Process Factor Analysis. Psychometrika, 79(3), 444-469. https://doi.org/10.1007/s11336-013-9365-x
Messinger, D., Duvivier, L., Warren, Z., Mahoor, M., Baker, J., Warlaumont, A., & Ruvolo, P. (). The Oxford Handbook of Affective Computing: Affective Computing, Emotional Development, and Autism. . http://doi.org/10.1093/oxfordhb/9780199942237.013.012
Ram, N., Conroy, D., Pincus, A., Lorek, A., Rebar, A., Roche, M., Coccia, M., Morack, J., Feldman, J., & Gerstorf, D. (). Examining the Interplay of Processes Across Multiple Time-Scales: Illustration With the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB). Research in Human Development, 11(2), 142-160. http://doi.org/10.1080/15427609.2014.906739
Hutton, R., & Chow, S. (). Longitudinal Multi-Trait-State-Method Model Using Ordinal Data. Multivariate Behavioral Research, 49(3), 269-282. https://doi.org/10.1080/00273171.2014.903832
Hunter, M. (). Abstract: Dynamic Mixture Modeling of a Single Simulated Case. Multivariate Behavioral Research, 49(3), 286--287. https://doi.org/10.1080/00273171.2014.912890
Messinger, D., Mahoor, M., Chow, S., Haltigan, J., Cadavid, S., & Cohn, J. (). Early Emotional Communication: Novel Approaches to Interaction. . https://doi.org/10.1093/acprof:oso/9780195387643.003.0011
Sung, K., Bosley, L., Fisher, Z., & Gordon, B. (). Abnormal Visual ERPs and alpha Band Power in Low-and High-Functioning Individuals with Autism: Annals of Neurology. , 76, 73--74.
Chow, S., Mattson, W., & Messinger, D. (). Representing trends and moment-to-moment variability in dyadic and family processes using state-space modeling techniques: Emerging Methods in Family Research, National Symposium on Family Issues. , 4, 39-54. https://doi.org/10.1007/978-3-319-01562-0_3
Neale, M., Zahery, M., Brick, T., Kirkpatrick, R., Bates, T., Maes, H., Boker, S., Hunter, M., & Pritikin, J. (). OpenMx 2.0: Extended Structural Equation and Statistical Modeling. Psychometrika, 81, 535-549. https://doi.org/10.1007/s11336-014-9435-8
Oravecz, Z., Faust, K., & Batchelder, W. (). An extended cultural consensus theory model to account for cognitive processes in decision making in social surveys. Sociological Methodology, 44(1), 185-228. https://doi.org/10.1177/0081175014529767