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For doctoral students. How to develop a researchable question and research design, identify data sources, construct conceptual frameworks, and interpret empirical results. Presentation by student participants and scholars in the field. May be repeated for credit.

We examine unprecedented scrutiny and critiques of US colleges and universities. How have expectations changed? How have campus leaders and faculty responded? Who is served, what is taught, what research is prioritized, and what public impact is envisioned-contributing to democracy via access, education for citizenship and employment, producing reliable knowledge, serving as a community partner. Sources are readings, group work, and speakers. The seminar is designed for graduate students across the university. Undergraduates and postdocs need the instructor's permission.

American higher education has had to continually struggle with issues of difference, particularly racial and ethnic cultural difference, throughout its history. While the civil rights and student protest era of the 1960s are easily recognized as moments of cultural struggle, they evolve and take new forms, extending and re-framing ideological and material conflict in the academy. These include battles over: the content of the curriculum; access to college and admissions; and the domains of legitimate knowledge. In this course, we will critically examine and discuss the research and discourse concerning issues of diversity and equity in the current era. We will examine the political, cultural, and social contours of these issues and as well as the efficacy of campus responses to them such as race-conscious admissions policies, identity-based offices, ethnic studies programs, and other DEI (diversity, equity, and inclusion) initiatives.

This workshop/course is designed for students who are designing a survey to collect quantitative data for a research project. The workshop content draws on relevant cognitive processing theories and research related to development of good survey questions. In addition to some readings and a few mini lectures, this workshop is designed to be highly interactive and practical. By the end of the course students will have designed and pilot tested their survey instrument. Course enrollment is limited to 12 students and may be repeated for credit.

The goal of this course is to familiarize students with the Stata statistical software package for use in quantitative research. By the end of the course, students should be able to import and export data, clean and manage data, conduct standard statistical tests (e.g., correlation, t-test, regression), and produce a graph.

Addressing the theoretical underpinnings of qualitative interviews as well as the application of theory to practice, this course considers different approaches to interviewing. Interview types covered will range from group interviews to individual interviews, and from unstructured, ethnographically oriented interviews to highly structured interviews. Students will move from theory to interview design, implementation, and initial stages of analysis, with an emphasis on consistency in approach and utility in graduate-level research.

Strategies for communicating effectively in social and academic settings. Informal and formal language used in campus settings, including starting and maintaining conversations, asking questions, making complaints, and contributing ideas and opinions. Simulations and discussions, with feedback on pronunciation, grammar, and usage.

Skills for effective participation in classroom settings, seminars, and research group meetings. Pronunciation, grammar, and appropriateness for specific tasks. Feedback on language and communication style. May be repeated once for credit. Prerequisite: EFSLANG 690A or consent of instructor.

For advanced graduate students. Practice in academic presentation skills; strategy, design, organization, and use of visual aids. Focus is on improving fluency and delivery style, with videotaping for feedback on language accuracy and usage. May be repeated once for credit.