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Jennifer M. Blaney; David F. Feldon; Annie M. Wofford; Kaylee Litson – Research in Higher Education, 2025
Community college transfer students represent a diverse and talented group to recruit to PhD and other graduate programs. Yet, little is known about practical strategies to support community college transfer students' access to graduate training. Focusing specifically on transfer students in computer science and guided by social cognitive career…
Descriptors: College Transfer Students, Community College Students, Graduate Study, Access to Education
Wofford, Annie M. – Research in Higher Education, 2021
Given the significant need to increase and diversify graduate enrollments within computing fields, it is vital to understand what shapes students' pathways to computing graduate school. This study examines the predictors of undergraduate students' self-confidence in being admitted to computing graduate school among students who enrolled in an…
Descriptors: Self Esteem, Computer Science Education, Predictor Variables, Structural Equation Models

Neumann, Yoram – Research in Higher Education, 1977
This study tests a model of predicting faculty success in the fields of chemistry, physics, sociology, and political science. Three hypotheses are tested separately for tenured and nontenured groups. The policy implications of the model regarding graduate department management are discussed. (Author/LBH)
Descriptors: Age, College Faculty, Departments, Graduate Study

Cook, Marlene M.; Swanson, Austin – Research in Higher Education, 1978
Focus is on two areas: (1) the factors available to the selection committee when students apply for admission into graduate programs, and (2) those factors emerging after admission, resulting from students' meeting program-imposed requirements for graduation. Program variables are shown to be more important than admission variables. (Author/LBH)
Descriptors: Admission Criteria, Doctoral Programs, Factor Analysis, Graduate Students

Wolfle, Lee M. – Research in Higher Education, 1982
Muffo and Coccari (1982) analyzed data pertaining to the causes of variation in the number and amount of external funds for research. By using LISREL, a reanalysis of the study shows that the only significant indicators of funding are past success in securing funds and an emphasis on graduate education. (Author/MLW)
Descriptors: Data Analysis, Factor Analysis, Financial Support, Graduate Study