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Assessing the Role of Gender Rejection Sensitivity, Identity, and Support on the Academic Engagement of Women in Nontraditional Fields using Experience Sampling Methods
Author(s) -
London Bonita,
Rosenthal Lisa,
Gonzalez Angel
Publication year - 2011
Publication title -
journal of social issues
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 122
eISSN - 1540-4560
pISSN - 0022-4537
DOI - 10.1111/j.1540-4560.2011.01712.x
Subject(s) - identity (music) , psychological intervention , psychology , field (mathematics) , experience sampling method , face (sociological concept) , data collection , sampling (signal processing) , structural equation modeling , social psychology , data science , medical education , applied psychology , computer science , sociology , medicine , social science , mathematics , physics , machine learning , psychiatry , acoustics , pure mathematics , filter (signal processing) , computer vision
Efforts to understand and alleviate the pervasive underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields may benefit from the utilization of research methodologies that can model STEM engagement from multiple levels of analysis. We discuss the utility of experience sampling methodology (ESM) in capturing this broad range of factors that contribute to women's success and engagement in STEM fields—as well as other fields in which women have historically been underrepresented—with special focus on the importance of identity, social support, and gender‐based rejection. We propose that the use of ESM may provide fine‐grained details of women's STEM experiences, and thus model the challenges they face in STEM fields. The advantages of using ESM for capturing repeated measures of affect and behavior, the use of electronic methods of data collection, and the use of ESM to administer interventions are discussed.