Stefan Th. Gries
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Last updated: 01 September 2020

Teaching at the University of California, Santa Barbara


Ling 201: Research methods and statistics (Fall 2020)

Syllabus and overview

This course is a hands-on introduction to fundamentals of quantitative/statistical methodology in linguistics. It is based on the second edition of my textbook Statistics for linguistics with R: a practical introduction (2013). We begin by looking at a few basic notions such as variables and hypotheses. We then discuss the logic of quantitative studies using the null-hypothesis falsification approach and familiarized ourselves with how to set up factorial experiments and how data from experiments and corpora should be set up for subsequent statistical evaluation. Then, we are concerned with a variety of descriptive graphs and statistics for frequency data, averages, dispersions, and correlations. The largest part is concerned with a variety of statistical tests: distribution fitting tests, tests for independence, and tests for differences for frequencies, means, dispersions, and correlations. We end with a small primer for the kind of multifactorial methods that are the subject of Ling 202. We use the open source software tool R .


Downloads for class sessions
(files will be available as appropriate)


Navigator
Session 01: slides
Session 02: all files
Session 03-04: all files
Session 05: all files
Session 06: all files
Session 07: all files
Session 08: to be made available later
Session 09: to be made available later
Session 10: to be made available later


Assignments


assignment 1: all files
assignment 2: all files
assignment 3: all files


Links to relevant software and sites


R (current version: 4.0.2)
RStudio (current stable version: 1.3.1073)
LibreOffice (current stable version: 7.0.1)
my 2013 statistics textbook, its companion website, and its StatForLing with R newsgroup, which I moderate.