Date
11-17-2022
Department
School of Education
Degree
Doctor of Philosophy
Chair
Matthew O. Ozolnieks
Keywords
Black women, STEM, STEAM, intersectionality, social learning theory of career decision-making, computer engineering, computer science, cybersecurity, data science, information systems, information technology, software engineering
Disciplines
Computer Sciences | Higher Education
Recommended Citation
Anderson, Blanche' D., "The Minority in The Minority, Black Women in Computer Science Fields: A Phenomenological Study" (2022). Doctoral Dissertations and Projects. 3928.
https://digitalcommons.liberty.edu/doctoral/3928
Abstract
The purpose of this transcendental phenomenological study was to describe the lived experiences of Black women with a bachelor’s, master’s, or doctoral degree in computer science, currently employed in the United States. The theory guiding this study was Krumboltz’s social learning theory of career decision-making, as it provides a foundation for understanding how a combination of factors leads to an individual’s educational and occupational preferences and skills. This qualitative study answered the following central research question: What are the lived experiences of Black women with a bachelor’s, master’s, or doctoral degree in computer science, currently employed in the United States? Purposeful criterion sampling was used to select between 12 to 15 participants from the Society of Women Engineers who met the following criteria: a female, Black or African American, with a bachelor’s, master’s, or doctoral degree in computer science, graduated from an accredited college, university, or vocational program, and currently employed in the United States. Data collection methods included individual interviews, letter writing, and focus groups. Data analysis followed Moustakas modified approach: setting aside personal experiences and prejudgments, organizing data and conducting horizonalization, developing clusters of meaning into common themes, generating and combining textural and structural descriptions, and generating a composite description of the phenomenon experienced by all participants.