HENKE2202U English - Free topic B: Methods in linguistics – research and practical applications

Volume 2022/2023



In this course, students will be introduced to the fundamentals of quantitative and qualitative research and various research methods to study language phenomena, including questionnaire/survey and interview methods, corpus linguistics, discourse analysis, introspection, ethnography, and eye tracking and process-oriented methods. We will cover basic notions, such as the importance of emic and etic perspectives, the linkage between research questions and hypotheses on the one hand and choice of methodology on the other. Students will further learn about basic statistics and visualization of linguistic data. In addition, a number of tools and specific analytical techniques will be introduced, which are not just useful in an academic setting but are also transferable and applicable beyond academia. This course will enable students to account for different types of linguistic data, apply quantitative and qualitative methods in the analysis of linguistic data, critically discuss the limitations and potential of various methods in linguistics, and apply different techniques to present quantitative and qualitative linguistic data. The course will be hands-on and students will gain experience in practical application of methods of data collection and analysis in the study of language. Thus, the course, will be beneficial to students who aim to write empirical language-oriented MA-theses.

All texts and resources will be made available in Absalon

The module is designed to be hands on and interactive, based on a mix of lectures, teacher-led discussions and exercises, data sessions, and student presentations. Towards the end of the course, students will conduct a research project based on empirical data collection and analysis using one or more methods introduced in the course.
This course only leads to exams Free Topic 1, Free Topic 2 and Free Topic 3.
  • Category
  • Hours
  • Class Instruction
  • 56
  • Preparation
  • 353,5
  • Total
  • 409,5
Continuous feedback during the course of the semester
Peer feedback (Students give each other feedback)
Type of assessment
Portfolio, A joint portfolio uploaded in digital exam: Deadline January 4th 2023
Type of assessment details
Portfolio containing one research project report (21-25 pages) to be submitted by the end of the course.
Exam registration requirements

This course only leads to exams Free Topic 1, Free Topic 2 and Free Topic 3.

Criteria for exam assesment