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Representative
Publications By Project Members
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, 283-321.
Chow,
S.M., Ferrer, E., &
Hsieh, F. (Eds.), Statistical methods for modeling human dynamics:
An interdisciplinary dialogue. Notre
Dame Series on Quantitative Methodology (Vol. 4). Mahwah, NJ: Lawrence Erlbaum
Associates.
Felmlee,
D. (2001). No couple is an island: A social network perspective on
dyadic stability. Social Forces, 79, 1259-1287.
Felmlee,
D. H. (2004). Application of dynamic systems analysis to dyadic
interactions In A.D. Ong & M. van Dulmen (Eds.), Handbook of
Methods in Positive Psychology. Oxford University
Press.
Felmlee,
D. H., & Greenberg, D.F. (1999).A dynamic systems model of dyadic
interaction. Journal of Mathematical Sociology, 23, 155-180.
Felmlee,
D., Sprecher, S., & Bassin, E. (1990). The dissolution of intimate
relationships: A hazard model. Social Psychology Quarterly, 53,
13-30.
Felmlee,
D., & Sprecher, S. (2000). Close relationships and social
psychology: Intersection and future paths. Social Psychology
Quarterly, 63, 365-376.
Ferrer,
E. (2006). Application of dynamic factor analysis to affective
processes in dyads. In A.D. Ong & M. van Dulmen (Eds.), Handbook
of Methods in Positive Psychology (pp. 41-58). Oxford University
Press.
Ferrer,
E. & McArdle, J.J. (2003). Alternative structural models for
multivariate longitudinal data analysis. Structural Equation
Modeling, 10, 493-524.
Ferrer,
E. & Nesselroade, J.R. (2003). Modeling affective processes in
dyadic relations via dynamic factor analysis. Emotion, 3,
344-360.
Ferrer, E.,
Balluerka, N., & Widaman, K.F. (2008). Factorial Invariance and the
specification of second-order latent growth models. Methodology, 4, 22-36.
Ferrer, E., Steele, J., Hsieh, F. (2008). Analyzing dynamics of affective dyadic interactions using
patterns of intra- and inter-individual variability. Under Review.
Ferrer, E., & Widaman, K. F. (2008). Dynamic
factor analysis of dyadic affective processes with inter-group
differences. In N.A. Card, J.P. Selig., & T.D. Little
(Eds.), (pp. 107-137). Hillsdale, NJ: Psychology Press.
Ferrer, E., & Zhang, G. (in press). Time series
models for examining psychological processes: Applications and new
developments. In R. E. Millsap, & A. Madeu-Olivares (Eds.), . Sage.
Hsieh, F., Ferrer, E., Chen, S., Mauss, I.B., & Gross, J.L.
(2008). A
small-world network approach for evaluating coherence in multivariate
systems: An application to psycho-physiological emotion data. Under
Review.
Hsieh, F., Ferrer, E., Chen, S., &
Chow, S.-M. (2008). Exploring nonstationary dynamics in dyadic
interactions via hierarchical segmentation and stochastic small-world
networks. Under Review.
Hsieh,
F., Chen, S., Chow, S.M., & Ferrer,
E. (in press). Exploring intra-individual, inter-individual and
inter-variable dynamics in dyadic interactions. In S.M. Chow, E.
Ferrer, & F. Hsieh (Eds.), Statistical methods for modeling
human dynamics: An interdisciplinary dialogue. Notre Dame Series on
Quantitative Methodology (Vol. 4). New York, NY: Taylor and Francis.
Hsieh,
F., McAssey, M., & Ferrer,
E. (2009). Optimal and robust design for efficient system-wide
synchronization in networks of randomly-wired neuron-nodes. Under Review.
Reise,
S. P., & Widaman, K. F. (1999). Assessing the fit of
measurement models at the individual level: A comparison of item
response theory and covariance structure approaches. Psychological
Methods, 4, 3-21.
Sbarra,
D.A., & Ferrer, E. (2006). The Structure and process of emotional
experience following non-marital relationship dissolution: Dynamic
factor analyses of love, anger, and sadness. Emotion, 6,
224-238.
Sbarra,
D.A., Ferrer, E., & Hazan, C. (2004). Changes in heart rate operate
as a function of normative adult attachment: Evidence from a laboratory
gazing task. Paper
presented at the Society for Psychophysiological Research (SPR)
Conference, Santa Fe, NM.
Song,
H., & Ferrer, E. (in
press). State-space modeling of dynamic psychological processes via the
Kalman smoother algorithm: Rationale, finite sample properties, and
applications. Structural Equation Modeling.
Widaman,
K. F. (2000). Testing cross-group and cross-time constraints on
parameters using the general linear model. In T. D. Little, K. U.
Schnabel, & J. Baumert (Eds.), Modeling longitudinal and
multilevel data: Practical issues, applied approaches, and specific
examples (pp. 163-185). Mahwah,
NJ: Erlbaum.
Widaman,
K. F., & Thompson, J. S. (2003). On specifying the null model for
incremental fit indices in structural equation modeling. Psychological
Methods, 8, 16-37.
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