Application of Statistics in Linguistics 340-ON2-1ZSJ
Study profile: general academic
Mode of study: full-time
Course type: compulsory / elective
Field: Humanities
Discipline: Linguistics
Level: MA (second-cycle)
Semester: 2
Contact hours: lecture (15h), laboratory/workshop (15h)
ECTS: 3
The course develops methodological competences in quantitative analysis of linguistic data. Topics include types of linguistic data, operationalization of variables, data matrix construction, selection of statistical tests, analysis of relationships, regression models, corpus-based methods, and exploratory data analysis.
Special emphasis is placed on:
- correct statistical inference in linguistic research,
- interpretation of results in relation to linguistic theories,
- critical evaluation of empirical publications,
- research ethics and data reliability.
Prerequisites: basic knowledge of linguistic research methodology.
Estimated student workload: approx. 75 hours.
Type of course
Mode
Course coordinators
Learning outcomes
Student:
KNOWLEDGE
knows advanced terminology in applied statistics in linguistics,
understands the role of quantitative methods in linguistic research.
SKILLS
selects appropriate statistical methods for research problems,
interprets statistical results within linguistic theory,
critically evaluates empirical studies.
SOCIAL COMPETENCES
recognizes the importance of reliable data analysis in research.
Assessment criteria
Admission to the exam requires passing the laboratory component (data analysis project).
The course concludes with an oral examination, including:
1. Discussion of a selected theoretical issue.
2. nterpretation of statistical output.
3. Methodological discussion on method selection.
Assessment criteria:
substantive correctness (40%)
interpretation skills (30%)
terminological accuracy (20%)
scientific reasoning (10%)
Bibliography
Core reading:
Winter, B. (2019). Statistics for Linguists: An Introduction Using R. Routledge.
Gries, S. Th. (2021). Statistics for Linguistics with R. De Gruyter.
Navarro, D. (2024). Learning Statistics with R.
Additional reading:
Levshina, N. (2015). How to Do Linguistics with R. John Benjamins.
Baayen, R. H. (2008). Analyzing Linguistic Data. Cambridge University Press.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: