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Spring 2017

SPAN 597 (TR 10:35-11:50)

Statistics for Language Scientists
Matthew Carlson

The primary goal in this course will be to introduce a range of quantitative techniques used in language science. By the end of the course you should be able to apply these techniques for visualizing and analyzing your own data as well as for evaluating results reported in the literature. The scope of the course encompasses techniques for exploring data, basic hypothesis testing, regression, ANOVA, categorical data analysis, and mixed effects regression. Time permitting we will also explore topics in Bayesian inference. A secondary goal is to learn to conduct these analyses and data manipulation using the open source programming language R.

But statistics, and science, never sits still. Therefore, alongside our practical goals, we will aim for the, arguably more important, goal of learning to think about quantitative data. This includes a critical view of quantitative research in general, questions of measurement, the many decisions involved in model structure and interpretation, the use of alternative methods, and enhancing your ability to extend your knowledge to new techniques independently.

SPAN 597 (TR 10:35-11:50)

The psycholinguistic study of code-switching
Giuli Dussias

This seminar will provide an in-depth examination of codeswitching, with both historical grounding and a review of contemporary codeswitching work from corpus-based and lab-based perspectives. To begin the course, we will provide a historical overview, focusing on seminal papers in the field, so that students have an understanding of how syntactic constraint-based approaches to codeswitching arose in the literature, in large measure as a means of establishing that codeswitched language was not “a-lingual.” As we explore the issue of constraint-based approaches, we will also carefully examine methodological issues, focusing in particular on the limitations of the data and data collection paradigms that have constituted the basis for the theoretical claims made in the literature. In the next phase of the course we will focus on more recent approaches to codeswitching from a production and processing perspective. Throughout the course, we will attempt to evaluate psycholinguistic research in light of more linguistically informed approaches to the complex array of issues arising in codeswitching.

LING 597 (TR 10:35-11:50)

Code-switching in the lab and in the community
Rena Torres Cacoullos

The primary goal in this course will be to explore a range of quantitative techniques common in language science, for analyzing continuous and categorical data. By the end of the course you should be able to apply these techniques for visualizing and analyzing your own data as well as for evaluating results reported in the literature. The scope of the course encompasses techniques for exploring data, basic hypothesis testing, regression, ANOVA, categorical data analysis, and mixed effects regression.