Date of Award
Spring 5-2011
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Economic and Workforce Development
Committee Chair
Cyndi Gaudet
Committee Chair Department
Economic and Workforce Development
Committee Member 2
Mary Nell McNeese
Committee Member 2 Department
Educational Studies and Research
Committee Member 3
Heather Annulis
Committee Member 3 Department
Economic and Workforce Development
Committee Member 4
Brian Richard
Committee Member 4 Department
Economic and Workforce Development
Abstract
Often, individuals are set up to fail. However, effective mentoring can set individuals up to succeed. This nonexperimental cross-sectional, predictive study examines the Ronald E. McNair Postbaccalaureate Achievement Program's mentoring component. Specific focus is placed on faculty mentor competency and its impact on McNair student intent to attain a doctoral degree and awareness of graduate school.
Cohen's (1993, 1995) Principles of Adult Mentoring Scale-Postsecondary Education Scale is utilized to assess McNair student perceived faculty mentor competency. Carrera's (2002) measures of effectiveness for the McNair Program's mentoring component are also used in this study.
Sequential multiple regression is the employed method of analysis. Study results indicate faculty mentor relationship emphasis, information emphasis, and student vision competency scores are statistically significant in predicting McNair student “intent to attain a doctoral degree” (R2 = .106, F [10, 59] = 2.732, p = .008) and “awareness of graduate school” (R2 = .282, F [10, 58] = 4.359, p = .001), when controlling for GPA and parental education levels.
Copyright
2011, Dwuena Cene' Wyre
Recommended Citation
Wyre, Dwuena Cene', "Set Up for Success: An Examination of the Ronald E. McNair Postbaccalaureate Achievement Program's Mentoring Component" (2011). Dissertations. 431.
https://aquila.usm.edu/dissertations/431
Included in
Educational Leadership Commons, Higher Education Administration Commons, Scholarship of Teaching and Learning Commons