Barbara J Risman

    Email Address:
    College: Liberal Arts and Sciences Department: Sociology
    Secondary Department: Gender and Women's Studies
    Title: Professor and Head
    Office: 4112 BSB Phone: 312 996 3074
    Participating in the Chancellor’s Undergraduate Research Awards program: Yes

    Research Interest:
    Two different projects available:
    1)Contribute to a qualitative analysis about how today's young adults think about gender, and how they conform or reject gender stereotypes. The data has now been collected and transcribed. Students will be involved in literature reviews, manuscript production, and reviewing and revising articles and a book.

    2)Sociological analysis about gender, specifically women in Science, Technology, Education and Math disciplines. The study focuses on the experiences of women faculty in the STEM (Science, Technology, Engineering, and Math) disciplines, as well as the effects of institutional programs designed to support them.

    Students will be involved in transcription and analysis (coding, thematic memos) of interview transcripts. We will provide training for transcription and for the use of a software package used in qualitative analysis. Students will also have the opportunity to meet with a research team bi-weekly to discuss their progress and findings.

    Working together with a small research team to transcribe interviews and then code them in Atlas- TI. Interviews will female scientists who have worked at UIC. Transcripts focus on women's experiences experiences as scientists on campus, in their departments and in the larger academic community. Coding involves identifying and denoting themes across interviews using computer software. The research team will meet for 1 hour every other week; all other work will be on your own. We will provide training to transcribe and code the data.

    Minimum time commitment in hours per week: 5, but 10 preferred

    Qualifications of a Student:
    Junior standing or above; able to work independently; good attention to detail; have completed at least one 200 level course in sociology, and a methods course in sociology or psychology; reliable, responsible, interested in gender & inequality. Familiarity with qualitative data analysis software (such as ATLAS – TI or NVIVO) is preferred, but not required. Social science major preferred but not required.

    Brief Summary of what is expected from the student:
    The student will learn how to use a coding software package. Expectation is five hours of research activities per week, including twice monthly research team meetings, but 10 hours per week preferred.

    Participate in data transcription and analysis with qualitative interview data.

    Contact researcher via URE Email Webform

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