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Morris, John D. – 1986
An empirical method called Predicted Error Sum of Squares (PRESS) is advanced and studied. This method is used to examine the cross-validated prediction accuracies of some popular algorithms for weighted predictor variables. The weighting methods that were considered were ordinary least squares, ridge regression, regression on principal…
Descriptors: Algorithms, Least Squares Statistics, Measurement Techniques, Minicomputers
Peer reviewed Peer reviewed
Hengstler, Dennis D.; McLaughlin, Gerald W. – New Directions for Institutional Research, 1985
The number of regression studies being employed in sex discrimination cases is increasing. The need for caution in the case of multiple regression must be emphasized. Statistical concerns in sex discrimination cases are highlighted. (MLW)
Descriptors: Court Litigation, Higher Education, Institutional Research, Multiple Regression Analysis
Flaherty, Robert John – 1987
This study was undertaken to determine whether a significant correlation exists between the student's performance on the Advanced Placement (AP) Computer Science Examination and three factors: (1) mathematics scores on the Preliminary Scholastic Aptitude Test (PSAT); (2) a mathematics index score reflecting mathematics courses taken by the student…
Descriptors: Achievement Tests, Advanced Placement Programs, Aptitude Tests, Computer Science
Smith, Patricia C. – 1985
Data from the areas of job satisfaction and job stress are used to illustrate the following points: (1) that measurements can be arranged conceptually along a continuum from the specific to the global (or general); (2) that scales can be constructed which represent different levels of generality, within the same content area; (3) that such scales…
Descriptors: Adults, Attitude Measures, Correlation, Feedback
Shoemaker, Judith S. – 1986
This study was an examination of the usefulness of a statistical regression approach to identify prospective Engineering and Information and Computer Science (ICS) applicants most likely to succeed at the University of California at Irvine (UCI). The specific purpose was to determine the extent to which preadmissions measures such as high school…
Descriptors: College Entrance Examinations, College Students, Computer Science, Correlation
Simmons, Johnny O. – 1985
This study examined the need to develop reliable and valid procedures for screening large populations for possible speech and language problems and the use of the Fluharty Preschool Speech and Language Screening Test (FPSLST) as such a device. The test was administered to 260 preschool children, ages three to six. There were 166 Blacks and 94…
Descriptors: Black Students, Comprehension, Correlation, Difficulty Level
Mandeville, Garrett K. – 1987
School effectiveness indices (SEIs) based on residuals from regressing test performance in reading and mathematics onto prior-year test performance and a socioeconomic status measure (percentage eligible for a subsidized lunch program) were obtained for two consecutive years for 431 South Carolina elementary schools. The analysis involved school…
Descriptors: Achievement Tests, Basic Skills, Correlation, Elementary Education
Peer reviewed Peer reviewed
Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Peer reviewed Peer reviewed
Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics