10.00 credits
22.5 h
Q1
Teacher(s)
Paquot Magali;
Language
English
Prerequisites
One course of introduction to linguistics.
Main themes
Quantitative analysis of linguistic data with R
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Data visualization
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Descriptive statistics : definitions ; computing and representation
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Inferential statistics: main concepts
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Basic statistical analyses : frequency comparisons, means comparisons, non-parametric testing, correlationsques, correlations
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(Theoretical) introduction to regression modelling and classification trees
Learning outcomes
At the end of this learning unit, the student is able to : | |
| At the end of the course, students will be able to select and use basic quantitative methods to analyze linguistic phenomena with the help of a statistical software tool. More practically, they will be able to use the statistical software tool R to explore linguistic data (descriptive statistics), represent data visually, and select the most appropriate statistics (among basic approaches) given the structure of their dataset They will also be able to understand a scientific article based on more sophisticated statistical techniques (e.g. regression modelling), and to critically examine the results of a quantitative study. |
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Content
Quantitative analysis of linguistic data with R (descriptive statistics, inferential statistics, data visualization)
Teaching methods
The teaching method will be a mix of traditional lectures and exercises
Evaluation methods
The evaluation will be twofold:
- Continuous assessment (30%): e.g. participation in class activities, tests and exercises
- Written exam (70%)
Other information
This course requires a good command of English (receptive and productive skills).
Online resources
Bibliography
- Field, A. et Miles, J. and Field, Z. (2012). Discovering Statistics Using R. London : Sage Publications.
- Gries, St. Th. 2013. Statistics for Linguistics with R. A Practical Introduction. 2nd edition. Berlin: De Gruyter Mouton.
- Howell, D. C. (2016). Fundamental statistics for the behavioral sciences. Nelson Education.
Teaching materials
- Gries, St. Th. 2013. Statistics for Linguistics with R. A Practical Introduction. 2nd edition. Berlin: De Gruyter Mouton.
- Slides and additional chapters available on Moodle
Faculty or entity
FIAL
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Linguistics
