2015
Lu, Z., Chow, S., Sherwood, A., & Zhu, H. (). Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. Annals of Applied Statistics, 9(3), 1601-1620. https://doi.org/10.1214/15-AOAS846
Maher, J., Pincus, A., Ram, N., & Conroy, D. (). Daily physical activity and life satisfaction across adulthood. Developmental Psychology, 51(10), 1407-1419. http://doi.org/10.1037/dev0000037
Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014. , 140. https://doi.org/10.1007/978-3-319-19977-1
Oravecz, Z., Anders, R., & Batchelder, W. (). Hierarchical Bayesian Modeling for Test Theory Without an Answer Key. Psychometrika, 80(2), 341-364. https://doi.org/10.1007/s11336-013-9379-4
Pritikin, J., Hunter, M., & Boker, S. (). Modular Open-Source Software for Item Factor Analysis. Educational and Psychological Measurement, 75(3), 458-474. https://doi.org/10.1177/0013164414554615
Ozonoff, S., Young, G., Landa, R., Brian, J., Bryson, S., Charman, T., Chawarska, K., Macari, S., Messinger, D., Stone, W., Zwaigenbaum, L., & Iosif, A. (). 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. http://doi.org/10.1111/jcpp.12421
Hammal, Z., Cohn, J., & Messinger, D. (). Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction. IEEE Transactions on Affective Computing, 6(4), 361-370. http://doi.org/10.1109/TAFFC.2015.2422702
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
Filevich, E., Dresler, M., Brick, T., & Kühn, S. (). Metacognitive mechanisms underlying lucid dreaming. Journal of Neuroscience, 35(3), 1082-1088. https://doi.org/10.1523/JNEUROSCI.3342-14.2015
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
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
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
Van der Ark, A., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Quantitative Psychology Research. .
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
Fisher, Z., & Tipton, E. (). robumeta: An R-package for Robust Variance Estimation in Meta-analysis. arXiv preprint arXiv:1503.02220.
2014
Kühn, S., Brick, T., Müller, B., & Gallinat, J. (). Is this car looking at you? How anthropomorphism predicts fusiform face area activation when seeing cars. PLoS One, 9(12), e113885. https://doi.org/10.1371/journal.pone.0113885
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