NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Predicting the Likelihood of Matriculation for College Applicants.
Peer reviewed Peer reviewed
Perry, Ronald F.; Rumpf, David L. – Research in Higher Education, 1984
The collection and analysis of survey data directed toward eliciting those characteristics of the institution, applicant, and applicant's family which affect the matriculation decision are reported. Ways in which the results may influence recruiting activities so that limited resources may yield more matriculants are provided. (Author/MLW)
Descriptors: College Admission, College Applicants, Discriminant Analysis, Higher Education
Modeling Black Student Academic Performance in Higher Education.
Peer reviewed Peer reviewed
Smith, A. Wade; Allen, Walter R. – Research in Higher Education, 1984
The National Study of Black College Students (NSBCS) is employed to develop a model that distinguishes between high- and low-performing Black undergraduates attending public, four-year institutions. Several institutional and student characteristics which are related to Black students' educational outcomes are identified. (Author/MLW)
Descriptors: Academic Achievement, Black Students, College Students, Discriminant Analysis
Research Output, Socialization, and the Biglan Model.
Peer reviewed Peer reviewed
Creswell, John W.; Bean, John P. – Research in Higher Education, 1981
A test of the Biglan model of faculty subcultures using measures of research output and tests of the model controlling for the effects of faculty socialization are described. The Biglan model is found to be valid, and the distinctiveness of the Biglan groups appears to increase with the socialization of faculty into subject areas. (Author/MLW)
Descriptors: College Faculty, Discriminant Analysis, Higher Education, Models
A Conceptual and Methodological Approach to the Identification of Peer Institutions.
Peer reviewed Peer reviewed
Terenzini, Patrick T.; And Others – Research in Higher Education, 1980
A methodology developed as an alternative to conventional institutional classification structures, intended to reduce the limitations of those models, is described. Ways in which the methodology can be used for planning, administrative, and research purposes are discussed, as are the dangers in using "peer groups" for institutional…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Planning
Faculty Attitudes toward Industrial Research on Campus.
Peer reviewed Peer reviewed
Nora, Amaury; Olivas, Michael A. – Research in Higher Education, 1988
A study of research faculty in Texas employed the theoretical framework proposed by Alvin Gouldner, who theorized that the most privileged academics hold the most conservative social and academic views. These "gatekeepers" control professional dogma, and by means of editorships and board memberships establish normative behavior for the…
Descriptors: College Faculty, Conservatism, Discriminant Analysis, Governance
Criteria for Granting Research Training Awards to Graduate Students.
Peer reviewed Peer reviewed
O'Brecht, Michael; And Others – Research in Higher Education, 1989
Survey data from 458 former health science graduate students were examined for correlations between variables that might be used in selecting research training award recipients and successful training outcome defined as a highly productive research career. Four variables that showed promise as useful indicators of posttraining research are…
Descriptors: Academic Achievement, Discriminant Analysis, Factor Analysis, Grades (Scholastic)
Coordinating Market and Evaluation Research on the Admissions Rating Process.
Peer reviewed Peer reviewed
Lay, Robert; Maguire, John – Research in Higher Education, 1981
A research program is suggested that integrates admissions procedures and methods of statistical analysis to study the first stage of the admissions selection process: the rating of applicants. A systematic procedure is described that provides an index of applicant "quality" in the light of institutional goals. (Author/MLW)
Descriptors: Admission Criteria, College Admission, College Applicants, Discriminant Analysis