Updating Our Understanding of Doctoral Student Persistence: Revising Models Using Structural Equation Modeling to Examine Consideration of Departure in Computing Disciplines

Author:

George Kari L.ORCID,Newhouse Kaitlin N. S.ORCID

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Reference90 articles.

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2. Ampaw, F. D., & Jaeger, A. J. (2012). Completing the three stages of doctoral education: An event history analysis. Research in Higher Education, 53(6), 640–660. https://doi.org/10.1007/s11162-011-9250-3

3. Artiles, M. S., & Matusovich, H. M. (2020). Examining doctoral degree attrition rates: Using expectancy-value theory to compare student values and faculty supports. International Journal of Engineering Education, 36(3), 1071–1081.

4. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191

5. Barnes, B. J., & Austin, A. E. (2009). The role of doctoral advisors: A look at advising from the advisor’s perspective. Innovative Higher Education, 33(5), 297–315. https://doi.org/10.1007/s10755-008-9084-x

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