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Original Articles

Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model

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References

  • Barrett, L. F. (2004). Feelings or words? Understanding the content in self-report ratings of experienced emotion. Journal of Personality and Social Psychology, 87(2), 266. doi:10.1037/0022-3514.87.2.266
  • Bolger, N., & Laurenceau, J. (2013). Intensive longitudinal methods. New York, NY: Guilford.
  • Browne, M. W., & Nesselroade, J. R. (2005). Representing psychological processes with dynamic factor models: Some promising uses and extensions of autoregressive moving average time series models. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Contemporary psychometrics: A Festschrift for Roderick P. McDonald (pp. 415–452). Mahwah, NJ: Erlbaum.
  • Chow, S.-M., Ferrer, E., & Nesselroade, J. R. (2007). An unscented Kalman filter approach to the estimation of nonlinear dynamical systems models. Multivariate Behavioral Research, 42(2), 283–321. doi:10.1080/00273170701360423
  • Chow, S.-M., Ho, M.-H. R., Hamaker, E. J., & Dolan, C. V. (2010). Equivalences and differences between structural equation and state-space modeling frameworks. Structural Equation Modeling, 17, 303–332. doi:10.1080/10705511003661553
  • Chow, S.-M., Ram, N., Boker, S. M., Fujita, F., & Clore, G. (2005). Emotion as a thermostat: Representing emotion regulation using a damped oscillator model. Emotion, 5, 208–225. doi:10.1037/1528-3542.5.2.208
  • Costa, P. T., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO personality inventory. Psychological assessment, 4(1), 5. doi:10.1037/1040-3590.4.1.5
  • Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience sampling method. The Journal of Nervous and Mental Disease, 175, 526–536. doi:10.1097/00005053-198709000-00004
  • Deboeck, P. R., & Bergeman, C. (2013). The reservoir model: A differential equation model of psychological regulation. Psychological Methods, 18(2), 237. doi:10.1037/a0031603
  • Delsing, M. J. M. H., Oud, J. H. L., & Bruyn, E. E. J. (2005). Assessment of bidirectional influences between family relationships and adolescent problem behavior. European Journal of Psychological Assessment, 21, 226–231. doi:10.1027/1015-5759.21.4.226
  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). Satisfaction with life scale. Journal of Personality Assessment, 49, 71–75. doi:10.1207/s15327752jpa4901-13
  • Dunn, J. E., & Gipson, P. S. (1977). Analysis of radio telemetry data in studies of home range. Biometrics, 33, 85–101. doi:10.2307/2529305
  • Fahrmeir, L., & Tutz, G. (2001). Multivariate statistical modelling based on generalized linear models. New York, NY: Springer Verlag.
  • Gardiner, C. W. (1986). Handbook of stochastic methods for physics, chemistry and the natural sciences (2nd ed.). Berlin, Germany: Springer-Verlag.
  • Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian data analysis (2nd ed.). Boca Raton, FL: Chapman & Hall.
  • Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis (3rd ed.). Boca Raton, FL: Chapman & Hall/CRC.
  • Gelman, A., Meng, X.-L., & Stern, H. (1996). Posterior predictive assessment of model fitness via realized discrepancies. Statistica sinica, 6(4), 733–760.
  • Gross, J. J. (2002). Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology, 39(03), 281–291. doi:10.1037/0022-3514.85.2.348
  • Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and wellbeing. Journal of Personality and Social Psychology, 85, 348–362. doi:10.1037/0022-3514.85.2.348
  • Hills, T. T., Jones, M. N., & Todd, P. M. (2012). Optimal foraging in semantic memory. Psychological Review, 119(2), 431. doi:10.1037/a0027373
  • Hoeksma, J. B., Oosterlaan, J., Schipper, E., & Koot, H. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scale. Journal of Personality and Social Psychology, 54, 1063–1070.
  • Hoekstra, H. A., Ormel, J., & De Fruyt, F. (1996). NEO PI-R, NEO FFI Big Five Persoonlijkheidsvragenlijsten: Handleiding [NEO PI-R, NEO FFI Big Five Personality Questionnaire: Manual]. Lisse, The Netherlands: Swets & Zeitlinger B.V.
  • 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
  • Kuppens, P., Stouten, J., & Mesquita, B. (2009). Individual differences in emotion components and dynamics: Introduction to the special issue. Cognition & Emotion, 23, 1249–1258. doi:10.1080/02699930902985605
  • Kuppens, P., Tuerlinckx, F., Russell, J. A., & Barrett, L. F. (2013). The relation between valence and arousal in subjective experience. Psychological Bulletin, 139(4), 917. doi:10.1037/a0030811
  • MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997). Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32(3), 215–253. doi:10.1207/s15327906mbr3203-1
  • Mehl, M. R., & Conner, T. S. (2012). Handbook of research methods for studying daily life. New York, NY: Guilford Press.
  • Molenaar, P. C. M., & Newell, K. M. (2003). Direct fit of a theoretical model of phase transition in oscillatory finger motions. British Journal of Mathematical and Statistical Psychology, 56, 199–214. doi:10.1348/000711003770480002
  • Mood, A. M., Graybill, F. A., & Boes, D. C. (1974). Introduction to the theory of statistics. New York, NY: McGraw-Hill.
  • Nolen-Hoeksema, S. (2000). The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. Journal of Abnormal Psychology, 109(3), 504. doi: 101037/10021-843X.109.3.504
  • 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
  • Oud, J. H. L. (2007). Comparison of four procedures to estimate the damped linear differential oscillator for panel data. In J. Oud & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences. Mahwah, NJ: Lawrence Erlbaum Associates. pp. 19–39.
  • Oud, J. H. L., & Jansen, R. A. R. G. (2000). Continuous time state space modeling of panel data by means of SEM. Psychometrika, 65(2), 199–215. doi:10.1007/BF02294374
  • Pagan, A. (1984). Econometric issues in the analysis of regressions with generated regressors. International Economic Review, 25, 221–247. doi:10.2307/2648877
  • Ram, N., & Gerstorf, D. (2009). Time-structured and net intraindividual variability: Tools for examining the development of dynamic characteristics and processes. Psychology and Aging, 24(4), 778. doi:10.1037/a0017915
  • Robert, C. P., & Casella, G. (2004). Monte Carlo statistical methods. New York, NY: Springer.
  • Rosenberg, M. (1989). Society and the adolescent self-image. Middletown, CT: Wesleyan University Press.
  • Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110, 145–172. doi:10.1037/0033-295X.110.1.145
  • Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Linde, A. van der. (2002). Bayesian measures of model complexity and fit (with discussion). Journal of the Royal Statistical Society, Series B, 6, 583–640. doi:10.1111/1467-9868.00353
  • Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment in behavioral medicine. Annals of Behavioral Medicine, 16, 199–202. doi:10.1023/A:1023657221954
  • Trapnell, P. D., & Campbell, J. D. (1999). Private self-consciousness and the five-factor model of personality: Distinguishing rumination from reflection. Journal of Personality and Social Psychology, 76, 284–304. doi:10.1037/0022-3514.76.2.284
  • Uhlenbeck, G. E., & Ornstein, L. S. (1930). On the theory of Brownian motion. Physical Review, 36, 823–841. doi:10.1103/PhysRev.36.823
  • Voelkle, M. C., & Oud, J. H. (2013). Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes. British Journal of Mathematical and Statistical Psychology, 66(1), 103–126. doi:10.1111/j.2044-8317.2012.02043.x
  • Walls, T. A., & Schafer, J. L. (2006). Models for intensive longitudinal data. New York, NY: Oxford University Press.
  • Wang, L. P., Hamaker, E., & Bergeman, C. (2012). Investigating inter-individual differences in short-term intra-individual variability. Psychological Methods, 17(4), 567. doi:10.1037/a0029317
  • Wegner, D. M., & Zanakos, S. (1994). Chronic thought suppression. Journal of Personality, 62(4), 615–640. doi:10.1111/j.1467-6494.1994.tb00311.x
  • Wilson-Mendenhall, C. D., Barrett, L. F., & Barsalou, L. W. (2013). Neural evidence that human emotions share core affective properties. Psychological Science, 24(6), 947–956. doi:10.1177/0956797612464242

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