In this week’s episode Greg and Patrick explore the incredibly cool possibilities offered by the time-varying effects model as a non-parametric alternative to the more restrictive time-varying covariate model. Along the way we also discuss North Dakota, Cal Ripken Jr., pre-gaming, not trying to be funny, left lane guy, Walker Texas Ranger, smelling toast, Bob Ross, hearing sirens, muu-muus, petulant teenagers, two old men, boing boing boing, greedy bastards, hostage negotiations, going off the rails, and being made whole.
Related Episodes
- S5E10: Nonlinear Latent Growth Curve Models (Taylor’s Version)
- S4E20: Dynamic Structural Equation Models with Ellen Hamaker
- S4E09: Intensive Longitudinal Data: Be Careful What You Wish For
- S2E26: MLM vs. SEM: Opportunities for Growth
Suggested Readings
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, 583-619.
Lanza, S. T., & Linden-Carmichael, A. N. (2021). Time-varying effect modeling for the behavioral, social, and health sciences. Springer.
Shiyko, M. P., Burkhalter, J., Li, R., & Park, B. J. (2014). Modeling nonlinear time-dependent treatment effects: an application of the generalized time-varying effect model (TVEM). Journal of Consulting and Clinical Psychology, 82, 760.
Shiyko, M. P., Lanza, S. T., Tan, X., Li, R., and Shiffman, S. (2012). Using the Time-Varying Effect Model (TVEM) to Examine Dynamic Associations between Negative Affect and Self Confidence on Smoking Urges: Differences between Successful Quitters and Relapsers. Prevention Science, 13, 288–299.
Tan, X., Shiyko, M. P., Li, R., Li, Y., & Dierker, L. (2012). A time-varying effect model for intensive longitudinal data. Psychological Methods, 17, 61.