Want hands-on research experience with real data on relationships, health, and stigma? Work with us to explore the hidden experiences of those who identify as bisexual and their romantic partners.
This project examines how bisexual individuals and their partners experience romantic relationships, health, stigma, and public perceptions. Despite those who identify as bisexual representing the largest subgroup within the LGBTQ+ population, they remain significantly underrepresented in family and sexuality research. Your work will contribute to a multi-method project that includes survey development, coding of an experimental survey, and thematic analysis of qualitative responses. You will work closely with a faculty mentor and an advanced PhD student, gaining hands-on research experience in a supportive and collaborative team environment.
Student Responsibilities:
By the end of the project, the student will produce a research poster and extended abstract. The poster will be suitable for presentation at UB’s Undergraduate Research Conference, the National Council on Family Relations (NCFR), or the American Sociological Association (ASA).
| Length of commitment | Longer than a semester (about 6-9 months) |
| Start time | Winter, Spring |
| In-person, remote, or hybrid? | Hybrid |
| Level of collaboration | Small group project (2-3 students) |
| Benefits | Stipend Academic Credit |
| Who is eligible | All undergraduate students that have taken SOC 293 and SOC 294 |
Ashley Barr
Associate Professor
Sociology
Phone: (716) 645-8453
Email: abbarr@buffalo.edu
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
Successfully complete the proper CITI training, which includes the two courses listed for Social/Behavioral/Education Research here:
sociology, sexuality, gender, family, relationships, discrimination, survey, experiment, coding, data, quantitative, qualitative
