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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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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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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
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Stavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, 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
Forster, Fred – 1971
Statistical methods are described for diagnosing and treating three important problems in covariate tests of significance: curvilinearity, covariable effectiveness, and treatment-covariable interaction. Six major assumptions, prerequisites for covariate procedure, are discussed in detail: (1) normal distribution, (2) homogeneity of variances, (3)…
Descriptors: Analysis of Covariance, Classification, Computer Programs, Hypothesis Testing
Hathaway, Walter Ennis, Jr. – 1972
The nature of the relations between traditional psychometric and Piagetian instruments is analyzed, in order to provide information relevant to the question of which type of test or combination of them will provide the most useful information to those seeking to construct and maintain optimal learning environments. Four hypotheses are posed: (1)…
Descriptors: Child Development, Citations (References), Cognitive Development, Correlation
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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