Mining Qualitative Behavioral Data from Quantitative Data: A Case Study from the Gender HCI Project

Laura Beckwith; Thippaya Chintakovid; Susan Wiedenbeck; Margaret Burnett

Recent research has shown that gender differences exist that influence the ways that males and females work with problem-solving software. These gender differences may put females at a disadvantage in competing for jobs requiring these skills. Earlier research has shown the existence of gender differences in confidence that affects feature usage and adoption; however these findings have raised new questions. We are seeking answers to these questions through qualitative methods. The case study we present here documents our methodology and may be used as a guide for others embarking on similar qualitative analyses.

Type of Publication: Paper
Conference: PPIG 2005 - 17th Annual Workshop
Publication Year: 2005
Paper #: 20
TitleMining Qualitative Behavioral Data from Quantitative Data: A Case Study from the Gender HCI Project
Publication TypePaper
AuthorsBeckwith, L, Chintakovid, T, Wiedenbeck, S, Burnett, M
PPIG Workshop: 
2005-06-17th