Exploring (meta) Inference in Mixed Methods Research in Applied Linguistics with the Argumentum Model of Topics (AMT)

This scientific exchange project, hosted at the Institute of Argumentation, Linguistics, and Semiotics at the Università della Svizzera Italiana (USI), investigates the nature of inference and meta-inference within Mixed Methods Research (MMR) in applied linguistics. Led by Professor Andrea Rocci and visiting researcher Dr. Mohammad Amini Farsani, the project seeks to bridge the gap between research methodology and argumentation studies by applying the Argumentum Model of Topics (AMT) to analyze how inferences are constructed, integrated, and evaluated in published MMR studies.

Rooted in classical and modern traditions of logical reasoning, the project responds to the empirical neglect of meta-inference in MMR, despite its vital role in ensuring methodological rigor. It addresses questions such as how meta-inferences are structured and what argumentative schemes underpin them. The study will examine 304 MMR articles in applied linguistics, categorizing them by inferential quality—eclectic, principled, and innovative—and applying both pragma-dialectical and AMT frameworks to assess argumentation patterns in discussion and conclusion sections.

The project is highly collaborative and benefits from mutual expertise: Professor Rocci’s background in argumentation and Dr. Amini Farsani’s experience with MMR design. In-person collaboration will foster real-time problem-solving, peer learning, and knowledge transfer through workshops and methodological training sessions.

Expected outcomes include empirical evidence on meta-inference practices, a joint workshop for researchers and students, and at least one peer-reviewed article. The project also aims to initiate a longer-term research agenda uniting argumentation theory and MMR, with presentations planned for leading international forums such as MMIRA and ISSA.

By integrating argumentation models into MMR evaluation, this project significantly contributes to advancing both methodological and argumentative rigor in applied linguistics research.