NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Peer reviewed Peer reviewed
Gross, Alan L. – Educational and Psychological Measurement, 1982
It is generally believed that the correction formula will yield exact correlational values only when the regression of z on x is both linear and homoscedastic. The formula is shown to hold for nonlinear heteroscedastic relationships. A simple sufficient condition for formula validity and estimation predictions is demonstrated in a numerical…
Descriptors: Correlation, Data Analysis, Mathematical Formulas, Predictor Variables
Peer reviewed Peer reviewed
Silverstein, A. B. – Journal of Consulting and Clinical Psychology, 1982
Assessed the validity of short forms that reduce the number of items within subtests rather than the number of subtests. Used data from the standardization samples for the Wechsler Intelligence Scale for Children, Wechsler Adult Intelligence Scale, Wechsler Preschool and Primary Scale of Intelligence, WISC-Revised, and WAIS-Revised. (Author)
Descriptors: Correlation, Intelligence Tests, Mathematical Formulas, Test Format
Peer reviewed Peer reviewed
Claudy, John G. – Applied Psychological Measurement, 1979
Equations for estimating the value of the multiple correlation coefficient in the population underlying a sample and the value of the population validity coefficient of a sample regression equation were investigated. Results indicated that cross-validation may no longer be necessary for certain purposes. (Author/MH)
Descriptors: Correlation, Mathematical Formulas, Multiple Regression Analysis, Predictor Variables
Peer reviewed Peer reviewed
Chapman, David W.; And Others – Educational and Psychological Measurement, 1983
This study investigated the validity of Hayes's formula for converting rank-ordered Rokeach Values data to a normal distribution theoretically achieved through the use of rated data. Findings support the validity of Hayes's formula and expand the analytic possibilities of data collected on the Rokeach instrument. (Author/PN)
Descriptors: Adults, Correlation, Mathematical Formulas, Nonparametric Statistics
Peer reviewed Peer reviewed
And Others; Drasgow, Fritz – Applied Psychological Measurement, 1979
A Monte Carlo experiment was used to evaluate four procedures for estimating the population squared cross-validity of a sample least squares regression equation. One estimator was particularly recommended. (Author/BH)
Descriptors: Correlation, Least Squares Statistics, Mathematical Formulas, Multiple Regression Analysis
Peer reviewed Peer reviewed
Newman, Isadore; And Others – Multiple Linear Regression Viewpoints, 1979
A Monte Carlo simulation was employed to determine the accuracy with which the shrinkage in R squared can be estimated by five different shrinkage formulas. The study dealt with the use of shrinkage formulas for various sample sizes, different R squared values, and different degrees of multicollinearity. (Author/JKS)
Descriptors: Computer Programs, Correlation, Goodness of Fit, Mathematical Formulas
Cummings, Corenna C. – 1982
The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Multiple Regression Analysis
Peer reviewed Peer reviewed
Givner, Nathaniel; Hynes, Kevin – College and University, 1979
The problem associated with validating an admissions test when such validation is based solely on the scores of the accepted, and therefore, restricted, group of applicants is demonstrated. A correction formula that estimates the correlation between admission test scores and a subsequent measure of performance for the entire group of applicants is…
Descriptors: Academic Achievement, Admission Criteria, College Admission, College Applicants