Stefan Th. Gries |
Ling 104: Statistical Methods in Linguistics (Winter 2022)
Syllabus and overview |
This course is a hands-on introduction to fundamentals of quantitative/statistical methodology in linguistics. It is based on the third edition of my textbook Statistics for linguistics with R: a practical introduction (2021), which also forms the basis for Ling 105 next quarter! 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 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 elementary aspects of correlation/regression. We end with a small primer for the kind of multifactorial regression and tree-based methods that are the subject of Ling 105. We use the open source software tool R |
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