In this week’s episode Greg and Patrick follow-up their previous discussion of time-varying covariates with a conversation about methods for modeling the simultaneous development in two or more constructs over time. Along the way, they also discuss back tattoos, right lane closures, 49.5 lb luggage, Clear, the United lounge, Sharpies, Neo, the Urfdedurfdedingerdonger, living with mommy or daddy, Hairballs of Science, selfish bastards, Lick‘em Señor, phantom variable road trip, The Trouble with Tribbles, achieving our ideal rank, and apologies to the Dutch.
Related Episodes
- S7E19: Growth Modeling With Time-Varying Covariates
- S4E09: Intensive Longitudinal Data: Be Careful What You Wish For
- S2E26: MLM vs. SEM: Opportunities for Growth
- S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show
Recommended Readings
Bainter, S. A., & Howard, A. L. (2016). Comparing within-person effects from multivariate longitudinal models. Developmental Psychology, 52, 1955.
Bollen, K. A., & Curran, P. J. (2004). Autoregressive latent trajectory (ALT) models a synthesis of two traditions. Sociological Methods & Research, 32(3), 336-383.
Curran, P. J., & Bauer, D. J. (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual Review of Psychology, 62(1), 583-619.
Curran, P. J., Howard, A. L., Bainter, S. A., Lane, S. T., & McGinley, J. S. (2014). The separation of between-person and within-person components of individual change over time: a latent curve
Curran, P. J., & Hussong, A. M. (2003). The use of latent trajectory models in psychopathology research. Journal of Abnormal Psychology, 112, 526–544.
Curran, P. J., Lee, T. H., Howard, A. H., Lane, S. T., & MacCallum, R. C. (2012). Disaggregating within-person and between-person effects in multilevel and structural equation growth models. In G. Hancock (Ed.), Advances in longitudinal methods in the social and behavioral sciences (pp. 217–253). Charlotte, NC: Information Age.
Ferrer, E., & McArdle, J. J. (2010). Longitudinal modeling of developmental changes in psychological research. Current Directions in Psychological Science, 19(3), 149-154.
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20, 102.
McArdle, J. J. (2009). Latent variable modeling of differences in changes with longitudinal data. Annual Review of Psychology, 60, 577–605.
McArdle, J. J., & Nesselroade, J. R. (2012). An overview of latent curve and latent change score analyses. Handbook of Psychology, Second Edition, 2.
Usami, S., Hayes, T., & McArdle, J. J. (2016). Inferring longitudinal relationships between variables: Model selection between the latent change score and autoregressive cross-lagged factor models. Structural Equation Modeling: A Multidisciplinary Journal, 23, 331-342.