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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Fako, Thabo T.; Nkhukhu-Orlando, Esther; Wilson, Debra R.; Forcheh, Ntonghanwah; Linn, James G. – International Journal of Educational Administration and Policy Studies, 2018
Organizational commitment is a major determinant of organizational effectiveness and desirable employee attitudes and behaviours. Highly committed academic staff are the backbone of universities since they play an important role in the success of their institutions. This study investigated factors associated with organizational commitment among…
Descriptors: Foreign Countries, Organizational Climate, Performance Factors, Employee Attitudes
Johnston, Ron; Manley, David; Jones, Kelvyn; Harris, Richard; Hoare, Anthony – Higher Education Quarterly, 2016
The United Kingdom's Department for Education has recently changed the nature of the AS-level examinations normally taken by students aspiring to enter higher education degree courses one year into their post-compulsory education. In the face of protests from universities and other institutions that this would both harm students' progression…
Descriptors: Foreign Countries, College Admission, Predictor Variables, Higher Education
Helm Stevens, Roxanne – ProQuest LLC, 2011
PROBLEM: Many of the preliminary approaches to strategic management of intellectual capital or knowledge assets have not been attempted in the not-for-profit arena. Additionally, because there is no marketplace value for not-for-profit firms or a valuation system for intangible assets, the identification and measurement necessary for efficient and…
Descriptors: Higher Education, Stakeholders, Resource Allocation, Human Capital
Kundi, Ghulam Muhammad; Nawaz, Allah – Turkish Online Journal of Distance Education, 2011
One cannot predict the details of future but one can surely prepare for it. Researchers in eLearning are capitalizing on the user-perceptions as possible predictor of the user-attitudes towards the development, use, problems and prospects of eLearning in their institutions. This application is founded on the psychological fact that a human's…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Predictor Variables
Richardson, John T. E. – Studies in Higher Education, 2009
This study investigated the role of disablement as a predictor of academic attainment among students awarded first degrees by UK institutions of higher education in 2004-05. Disability explained only 0.1% of the variation in attainment, as measured by whether the graduates had obtained good degrees (i.e. with first-class or upper second-class…
Descriptors: Higher Education, Disabilities, Academic Achievement, Educational Attainment
Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
Horch, Dwight H.; Sharon, Amiel T. – 1971
The accuracy of 3 measures of future income was investigated for a sample of families filing Parents' Confidential Statements with the College Scholarship Service (CSS). Measures were: parents' reports of current (1968) income; parents' estimates of 1969 income; and predictions of 1969 income made by application of least squares regression…
Descriptors: Costs, Family Income, Financial Needs, Higher Education
Raymond, Mark R. – 1987
This paper examines some of the problems that arise when conducting multivariate analyses with incomplete data. The literature on the effectiveness of several missing data procedures (MDP) is summarized. The most widely used MDPs are: (1) listwise deletion; (2) pairwise deletion; (3) variable mean; (4) correlational methods. No MDP should be used…
Descriptors: Correlation, Data, Higher Education, Multivariate Analysis
Melnick, Murray – 1972
This report is an amplification of previous investigations at Hofstra that attempted to identify useful predictors of success in the MBA program with particular emphasis on the Admission Test for Graduate Study in Business (ATGSB). A group of 26 MBA students who graduated in June 1970 and February 1971 were compared with a group of 17 students who…
Descriptors: Academic Achievement, Achievement Tests, Business Education, Graduate Study
Marsicano, Arthur J. – Engineering Education, 1975
Describes a study conducted to identify items on the Differential Aptitude Test which will predict success in engineering technology programs. Statistical analysis revealed several test items with high predictive potential. (MLH)
Descriptors: Educational Research, Engineering Education, Engineering Technology, Higher Education

Hartley, Alan A.; Hartley, Joellen T. – Educational and Psychological Measurement, 1976
A predictive equation for estimating performance in a basic course in methods of psychological research from scores on the Differential Aptitude Test reasoning scales and on the Davis Reading Test, from measures of attitudes toward issues in psychology, and from self-ratings of abilities and of expected course grades is developed. (Author/DEP)
Descriptors: Ability Identification, College Students, Grade Prediction, Higher Education
Ormrod, Jeanne Ellis – Journal of the College and University Personnel Association, 1986
Faculty resistance to an annual faculty evaluation system implemented at the University of Northern Colorado was widespread. Four factors characterized faculty members most dissatisfied with the evaluation of their performance: years in service at the university, level of the evaluation, impact on salary, and inconsistency among the evaluators.…
Descriptors: College Faculty, Faculty Evaluation, Higher Education, Participant Satisfaction

Morgan, Robert G.; And Others – Journal of Education for Business, 1985
A study was conducted to find some quantitative predictors of student success in Intermediate Accounting I that an advisor can use as an aid in student counseling. The AICPA Level I Form C test and the average grade in principles courses proved to be reasonable predictors of success. (CT)
Descriptors: Academic Achievement, Accounting, Counseling Techniques, Higher Education

Heilbrun, Alfred B., Jr. – Journal of Counseling Psychology, 1982
Investigated the relationship between two cognitive variables, social insight and psychological defensiveness, and scores on a validated scale for predicting early dropout or continuation in insight-oriented counseling for males (N=48) and females (N=86). Results suggest continuation for highly defended, less insightful males and highly defended,…
Descriptors: Cognitive Processes, Cognitive Style, College Students, Counseling