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Peters, S. Colby; Woolley, Michael E. – Children & Schools, 2015
Data from the School Success Profile generated by 19,228 middle and high school students were organized into three broad categories of risk and protective factors--control, support, and challenge--to examine the relative and combined power of aggregate scale scores in each category so as to predict academic success. It was hypothesized that higher…
Descriptors: Academic Achievement, Success, Risk, Risk Assessment
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Herrera, Cheryl; Blair, Jennifer – Research in Higher Education Journal, 2015
As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…
Descriptors: Prediction, Success, Nursing Education, Nursing Students
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Oredein, Afolakemi O.; Durojaye, Toluwase G. – African Higher Education Review, 2012
This study is based on lecturers' and students' perception on educational policy implementation factors and quality education in Nigerian universities. Educational policies have always been formulated purposely to guide the present and future thinking, actions and decisions of managers. The potency of policy is not in formulation but in its proper…
Descriptors: Foreign Countries, Educational Policy, Program Implementation, Student Attitudes
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Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
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Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
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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
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Malgady, Robert G.; Huck, Schuyler W. – Educational and Psychological Measurement, 1978
The t ratio used in testing the difference between two independent regression coefficients is generalized to the multivariate case of testing the difference between two vectors of regression coefficients. This is particularly useful in determining which of two variables best predicts a number of criterion variables. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Matrices, Multiple Regression Analysis
Monge, Peter R. – 1977
This paper examines the multivariate multiple regression model and explores its applicability to communication research. The first section discusses partitioning of a data matrix, as a heuristic device for distinguishing among alternative regression models. Section two examines various aspects of univariate multiple regression, including the form…
Descriptors: Communication (Thought Transfer), Educational Research, Error Patterns, Hypothesis Testing
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Martinez-Torres, M. R.; Toral, S. L. Marin; Garcia, F. Barrero; Vazquez, S. Gallardo; Oliva, M. Arias; Torres, T. – Behaviour & Information Technology, 2008
The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm…
Descriptors: Higher Education, Student Attitudes, Lifelong Learning, Laboratories
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Sun, Xiaogeng; Hoffman, Sharon C.; Grady, Marilyn L. – International Journal of Educational Advancement, 2007
Despite readily available alumni survey data warehoused at many alumni associations and foundations across colleges and universities, researchers have underutilized the abundant available data to identify key predictors of alumni donation, including factors that trigger alumni donation behavior. Utilizing the data from a two-year alumni survey…
Descriptors: Causal Models, Alumni, Gender Differences, Age Differences
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Gosenpud, Jerry – Simulation and Games, 1989
This discussion of research methodologies and performance prediction in business simulations describes a study of undergraduates that considered time in the prediction of simulation performance, and explored how relationships between performance and its antecedents vary over the simulation's duration. Hypotheses tested are explained and results of…
Descriptors: Business Administration Education, Correlation, Educational Games, Higher Education
Lin, Carolyn – 1986
By examining relationships between a host of national policy, domestic economic, media system, and media infrastructure factors, a study assesses possible predictors for videotape cassette recorder (VCR) penetration across 63 countries. Overall statistical results generated through hypothesis testing indicated that these factors were relatively…
Descriptors: Developed Nations, Developing Nations, Economic Factors, Foreign Countries