Publications

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. (2015). 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. (2015). 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. (2015). 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

Van der Ark, A., Bolt, D., Wang, W., Douglas, J., & Chow, S. (2015). Quantitative Psychology Research. .

Oravecz, Z., Faust, K., Batchelder, W., & Levitis, D. (2015). 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

Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (2015). Preface. Springer Proceedings in Mathematics and Statistics, 140, V. https://doi.org/10.1007/978-3-319-19977-1

Conroy, D., Ram, N., Pincus, A., Coffman, D., Lorek, A., Rebar, A., & Roche, M. (2015). Daily physical activity and alcohol use across the adult lifespan. Health Psychology, 34(6), 653-660. http://doi.org/10.1037/hea0000157

Fisher, Z., & Tipton, E. (2015). robumeta: An R-package for Robust Variance Estimation in Meta-analysis. arXiv preprint arXiv:1503.02220.

Loken, E., Oravecz, Z., Tucker, C., & Linder, F. (2015). 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. (2014). 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. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207-222. https://doi.org/10.1177/1525822X13520280

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. https://doi.org/10.1016/j.jmp.2014.06.001

Zhang, G., Browne, M., Ong, A., & Chow, S. (2014). 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. (2014). 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. (2014). 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

Hunter, M. (2014). Abstract: Dynamic Mixture Modeling of a Single Simulated Case. Multivariate Behavioral Research, 49(3), 286--287. https://doi.org/10.1080/00273171.2014.912890

Hutton, R., & Chow, S. (2014). Longitudinal Multi-Trait-State-Method Model Using Ordinal Data. Multivariate Behavioral Research, 49(3), 269-282. https://doi.org/10.1080/00273171.2014.903832

Messinger, D., Mahoor, M., Chow, S., Haltigan, J., Cadavid, S., & Cohn, J. (2014). Early Emotional Communication: Novel Approaches to Interaction. . https://doi.org/10.1093/acprof:oso/9780195387643.003.0011

Chow, S., Mattson, W., & Messinger, D. (2014). 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

Oravecz, Z., Faust, K., & Batchelder, W. (2014). 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

Sung, K., Bosley, L., Fisher, Z., & Gordon, B. (2014). Abnormal Visual ERPs and alpha Band Power in Low-and High-Functioning Individuals with Autism: Annals of Neurology. , 76, 73--74.

Coderre, E., Fisher, Z., Gordon, B., & Ledoux, K. (2014). Electrophysiological Measurements of Letter-Sound Correspondence in a Low-Functioning Individual with Autism: Annals of Neurology. , 76, 22--23.

Chow, S., Witkiewitz, K., Grassman, R., Hutton, R., & Maisto, S. (2014). A regime-switihing longitudinal model of alcohol lapse--relapse: Handbook of developmental systems theory and methodology. , 397-422.

Ledoux, K., Fisher, Z., Kuo, S., & Gordon, B. (2014). Using Mismatch Negativity to Study Speech Perception in a Low-Functioning Individual with Autism: Annals of Neurology. , 76, S24--S24.

2013

Ram, N., Shiyko, M., Lunkenheimer, E., Doerksen, S., & Conroy, D. (2013). Families as Coordinated Symbiotic Systems: Making use of Nonlinear Dynamic Models. , 4, 19-37. http://doi.org/10.1007/978-3-319-01562-0_2