Collaborative Methods：Participatory Data Analysis in Feminist Research

Collaborative Methods explores the intersections between participatory data analysis and feminist research—traditions that complement each other but are rarely examined together. The chapters highlight two key approaches: methods where participants help analyze the data they contributed to, and non-hierarchical, collaborative methods involving research teams. Contributors demonstrate how to choose an approach that best aligns with one''s research questions, study context, and participant availability and interest. They also encourage scholars to thoroughly describe their methodological designs, decision points, and processes rather than keeping the focus only on their findings. Through a feminist lens, the authors present a range of perspectives, resisting a singular approach. Instead, they engage with the fluid and contested nature of feminist research, each author drawing on different feminist traditions to shape their work. The volume encourages scholars to think critically about the co-production of knowledge, making it an essential resource for social science researchers and students who are invested in feminist and participatory methodologies. Contributors: Nesa Bandarchian Rashti, Emma C. Cognet, L. Rebeca Esquivel, Jessica Fields, Sarah Flicker, Geetanjali Gill, Jillian Grace Goyeau, Nadha Hassen, Rebekah Hutten, Terra Léger-Goodes, Meegwun Logan, Catherine Malboeuf-Hurtubise, Mitchell McLarnon, Claudia Mitchell, Milka Nyariro, Kathryn Kendal Ryan, Kaylan C. Schwarz, Grace Skahan, Catherine Vanner, Angelina Weenie, Dawn Wiseman, 4theRecord Team.