Exploring dynamic structures of dyadic conversations using categorical cross recurrence quantification analysis: A tutorial

Abstract

Social interactions are defined by the dynamic and reciprocal exchange of information in a process referred to as mutual alignment. Statistical methods for characterizing alignment between two interacting partners are emerging. In general, they exploit the temporal organization of dyadic interactions to uncover the effect of one partner on the other and the extent to which partners are aligned. This paper describes and provides a tutorial on one such method, categorical cross recurrence quantification analysis (CRQA), which quantifies the temporal structure and co-visitation of individual and sequential states of interest. CRQA is a useful descriptive technique that can be used to explore the extent, structures, and patterns of partner alignment within dyadic interactions. We provide a brief technical introduction to CRQA and a tutorial on its application to understanding parent-child linguistic interactions using the ‘crqa’ package in R (Coco, Monster, Leonardi, Dale, & Wallot, 2021).

Keywords

• dyadic interactions
• categorical data
• cross recurrence quantification
• r