This paper proposes a set of methods and a framework for evaluating, modeling, and predicting group interactions in computer-mediated communication. The method of sequential analysis is described along with specific software tools and techniques to facilitate the analysis of message-response sequences. In addition, the Dialogic Theory and its assumptions are presented to establish a theoretical framework and guide to using sequential analysis in computer-mediated communication research. Step-by-step instructions are presented to illustrate how sequential analysis can be used to measure the way latent variables (e.g., message function, response latency, communication style) and exogenous variables (e.g., gender, discourse rules, context) affect how likely a message is to elicit a response, the types of responses elicited by the message, and whether or not the elicited sequence of responses (e.g., claim--challenge--explain) mirror the processes that support group decision-making, problem-solving, and learning.