Mixed-methods research in applied linguistics

Language

English
> French-friendly

Prerequisites

Consolidated B2 level in English. Basic knowledge of research methodology in experimental and applied linguistics. 

Main themes

This course focuses on the integration of qualitative and quantitative research methods in linguistics research. It will address the ontological and epistemological underpinnings of mixed-methods research. Students will also be introduced to various mixed-methods research designs, as well as methods to collect and analyze natural language data in current empirical linguistics research. 
Special emphasis will be placed on how employing both quantitative and qualitative methods can lead to empirical convergence or highlight divergences in complex linguistic phenomena. The course will also provide insights into drawing conclusions from mixed-methods datasets (meta-inferences). The practical application of the concepts and techniques will be facilitated through the development and implementation of a small-scale mixed-methods research project in replication of already existing empirical studies.  

Learning outcomes

At the end of this learning unit, the student is able to :
1	Understand and describe the ontological and epistemological foundations of mixed-methods research and explain their implications for conceptual, theoretical, and practical research frameworks in linguistics research.
2	Evaluate the appropriateness of different mixed-methods research designs for specific linguistics research questions and identify their strategies for integrating quantitative and qualitative data.
3	Design mixed-methods research proposal that integrates the concepts and techniques learned in the course and applies them to data collection and analysis.
4	Interpret mixed-methods research data to draw meta-inferences and compare findings from different data sources to identify patterns or inconsistencies reflecting the complexity of linguistic phenomena.

Faculty or entity

> ELAL