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In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation, ANOVA, and regression. Students will manage and analyze data using the Stata statistical software package.

In this course, students will examine the building blocks which make up the interlocking systems of language and observe how those systems are enacted and granted layers of meaning through social practice.

This course addresses the theories, methods, ethics, and actual outcomes of language documentation, revitalization, and reclamation work. Students will examine the causes and consequences of language endangerment, strategies for revitalization, and community-led initiatives in reclaiming linguistic and cultural heritage. Case studies from around the world will provide insight into real-world applications of language work and the diversity in form that this work takes depending on context.

“I, at least, am not a Marxist”&�Բ�����;Karl Marx