NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Lindley, Dennis V. – 1972
This paper discusses Bayesian m-group regression where the groups are arranged in a two-way layout into m rows and n columns, there still being a regression of y on the x's within each group. The mathematical model is then provided as applied to the case where the rows correspond to high schools and the columns to colleges: the predictor variables…
Descriptors: Bayesian Statistics, Mathematical Applications, Mathematical Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Muchinsky, Paul M.; Skilling, Nancy J. Langham – Educational and Psychological Measurement, 1992
The economic utility of the following 5 weighting methods for evaluating consumer loan applications was determined using a sample of 443 loans: (1) unit; (2) weighted application blank; (3) chi square; (4) Bayes; and (5) regression. The unit and weighted application blank procedures were the best approaches. (SLD)
Descriptors: Bayesian Statistics, Chi Square, Comparative Analysis, Cost Effectiveness
Braun, Henry I.; Jones, Douglas H. – 1985
Classical statistical methods and the small enrollments in graduate departments have constrained the Graduate Record Examinations (GRE) Validity Study Service to providing only validities for single predictors. Estimates of the validity of two or more predictors, used jointly, are considered too unreliable because the corresponding prediction…
Descriptors: Bayesian Statistics, College Entrance Examinations, Departments, Grade Point Average
Houston, Walter M.; Sawyer, Richard – 1988
Methods for predicting specific college course grades, based on small numbers of observations, were investigated. These methods use collateral information across potentially diverse institutions to obtain refined within-group parameter estimates. One method, referred to as pooled least squares with adjusted intercepts, assumes that slopes and…
Descriptors: Bayesian Statistics, College Students, Colleges, Comparative Analysis
Houston, Walter M. – 1988
Two methods of using collateral information from similar institutions to predict college freshman grade average were investigated. One central prediction model, referred to as pooled least squares with adjusted intercepts, assumes that slopes and residual variances are homogeneous across selected colleges. The second model, referred to as Bayesian…
Descriptors: Bayesian Statistics, College Freshmen, Colleges, Comparative Analysis
Lee, Valerie E. – 1986
Hierarchical linear modeling allowed the indentification of specific school characteristics and policies which help explain the relationship between social class and minority status with mathematics achievement, the relationship between social class and minority status with mathematics course enrollment, and school means for achievement and for…
Descriptors: Academic Achievement, Attribution Theory, Bayesian Statistics, Catholic Schools
Noble, Julie P.; Sawyer, Richard – 1988
The validity of American College Testing Program (ACT) test scores and self-reported high school grades for predicting grades in specific college freshman courses was studied. Specific course grades are typically used to place students in remedial, standard, or advanced classes. These placement decisions, in turn, have immediate implications for…
Descriptors: Bayesian Statistics, College Freshmen, Comparative Analysis, Evaluation Methods