RM1 - Statistics for Linguists in R
Title of the course: Statistics for Linguists in R
Teacher: Susanne Brouwer
Address: Radboud University Nijmegen Dutch Language and Culture department Erasmusplein 1, 6525 HT, Nijmegen
Email address: email@example.com
website teacher: https://smbrouwer.wordpress.com/
Course info Level: RM1 (First year Research Master Linguistics)
This course offers an overview of several statistical concepts and techniques. Students taking this course will learn to perform basic and more advanced statistical tests on empirical data, gathered by means of linguistic experiments or surveys.
Topics discussed in this course are: Descriptive statistics (e.g. measurement level; frequencies; mean, median, mode, standard deviation and variance; plotting) and inferential statistics (e.g. Central Limit Theorem; hypothesis testing; testing assumptions; p-value; independent and paired-samples t-tests, ANOVA, correlation, mixed-effects regression modeling).
The software used in this course is R, which is freely available. You should bring your laptop to class with the most recent version of R (https://cran.r-project.org/bin/windows/base/) and RStudio (https://www.rstudio.com/products/rstudio/download/) installed. Each class starts with a lecture and ends with a lab session (except the first class).
Monday: Introduction to Statistics
Tuesday: Introduction to R and exploring your data
Wednesday: Basic statistical tests I
Thursday: Basic statistical tests II
Friday: Introduction to mixed effects regression modeling
Reading list (not obligatory)
Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge University Press. http://www.sfs.uni-tuebingen.de/~hbaayen/publicati...
Levshina, N. (2015). How to do linguistics with R: Data exploration and statistical analysis. John Benjamins Publishing Company. https://benjamins.com/catalog/z.195
Course readings (obligatory):
Lecture 1: Levshina (2015): Chapter 1
Lecture 2: Levshina (2015): Chapters 2, 3, and 4
Lecture 3: Levshina (2015): Chapters 5 (t-test), 8 (ANOVA)
Lecture 4: Levshina (2015): Chapters 6 and 7
Lecture 5: Baayen (2008): Chapter 7
Assignments become available during the lectures