Simplifying the complexity of interpersonal emotion dynamics with regression graphics

Abstract

Dynamical systems models are being used with increasing frequency for characterizing intra- and interpersonal emotion dynamics in dyadic relationships. Yet, having confidence in the application and interpretation of dynamical systems models remains a challenge. There are a number of excellent tutorials that provide step-by-step guidance in estimating models (e.g., Boker & Laurenceau, 2006; Butner et al., 2017; Perry et al., 2017), but many fewer resources for (1) evaluating the statistical assumptions of dynamical systems models and (2) representing and interpreting model results. The primary aim of this chapter is to provide simple, graphical methods to address these two challenges.

Publication
Interpersonal Emotion Dynamics in Close Relationships

Full Citation:
Butner, J.E., Crenshaw, A.O., Munion, A., Wong, A., & Baucom, B.R.W. (2018). Simplifying the complexity of interpersonal emotion dynamics with regression graphics. In A. Randall & D. Schoebi (Eds.), Interpersonal Emotion Dynamics in Close Relationships (pp. 47-74). New York, NY: Cambridge University Press.