Multiple Case-Based Conversation Analysis

Multiple case-based conversation analysis applies the fine-grained sequential methods of Conversation Analysis (CA) across two or more distinct cases — settings, groups, or interactions — to identify both case-specific patterns and cross-case regularities in naturally occurring talk. By examining how participants organise turn-taking, repair, and action sequences in multiple contexts, the approach strengthens claims about interactional phenomena beyond what a single-case study can establish.