An Advanced Methodological Optimization for Multimodal Discourse Analysis in Sociolinguistics

Abstract

This study investigates the complexities of multimodal discourse in sociolinguistics, spotlighting the need for enhanced analytical methods in the wake of rapid digital communication advancements. Employing a mixed-methods framework, we collected data from diverse sociolinguistic contexts using innovative software tools including MAXQDA (2022) and R (4.1.2), focusing on both quantitative and qualitative aspects of discourse interactions. Results reveal significant variations in discourse strategies across different demographics, with quantifiable trends evidenced by an increase in convergence behavior (p < 0.05) and notable shifts in modality use. These findings underscore the critical role of multimodal approaches in understanding contemporary sociolinguistic phenomena, providing a novel framework for future research in the field.