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Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T. – Online Submission, 2010
The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…
Descriptors: Grade Point Average, Law Schools, Statistical Analysis, Databases
Burson, William W. – 1971
To assist Pennsylvania school personnel in interpreting the reports resulting from that State's Educational Quality Assessment program, this manual provides information on the goals, dimensions measured, variables measured, and method used. Appendixes provide the school norms for Grade 5 and Grade 11, a Teacher Questionnaire, School Information…
Descriptors: Comparative Analysis, Educational Quality, Evaluation Criteria, Measurement Instruments
Pennsylvania State Dept. of Education, Harrisburg. Bureau of Educational Quality Assessment. – 1971
The results of the Pennsylvania Educational Quality Assessment program, Phase II, are interpreted. The first section of the manual presents a statement of each of the Ten Goals of Quality Education which served as the basis of the assessment. Also included are the key items on the questionnaires administered to 5th and 11th grade students. The…
Descriptors: Comparative Analysis, Educational Quality, Evaluation Criteria, Evaluation Methods
Jellema, William W.; Olliver, James – 1975
Uses of discipline and program cost data by Indiana private colleges and universities are discussed, and cost data are presented. Attention is directed to the immediate and longer range uses of the data, the applicability of the methods to smaller institutions, reliability of the data, and the future of this analysis. The findings were used for…
Descriptors: College Credits, College Programs, Comparative Analysis, Expenditure per Student
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
Johnson, Frank H.; Bobbitt, Sharon A. – 1991
The following estimates in this document are key statistics about education reported early in the 1991-92 school year: (1) the numbers of students in membership, numbers of teachers, and numbers of high school graduates for public and private elementary and secondary schools; and (2) total revenues and expenditures for public elementary and…
Descriptors: Comparative Analysis, Educational Finance, Educational Trends, Elementary School Teachers