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Forsyth, Robert A. – 1972
In Dyer's Student Change Model, performance indicators (PIs) are utilized as a measure of the effectiveness of educational programs. These PIs are examined and analyzed in some detail in this paper. In particular, the reliability of the residuals, the sensitivity of the measure to sample size, the random half reliability, and the stability of the…
Descriptors: Accountability, Evaluation Methods, Input Output Analysis, Mathematical Models
Peer reviewedvan der Linden, Wim J.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 1977
Using a linear loss function, a procedure is described for computing a cutting score that minimizes the risk for a given decision rule. The procedure is demonstrated with a criterion-referenced achievement test of elementary statistics administered to 167 students. (Author/CTM)
Descriptors: Cutting Scores, Higher Education, Latent Trait Theory, Mastery Tests
Peer reviewedGustman, Alan L.; Clement, M. O. – Industrial and Labor Relations Review, 1977
Supply-related factors, such as differences in opportunity costs, play a major role in determining interarea salary differentials, according to a study of teachers' salaries through an analysis of cross-sectional data for 83 central cities and for the 48 contiguous states for the period 1968-70. (SH)
Descriptors: Educational Opportunities, Educational Research, Equal Education, Geographic Regions
Peer reviewedBudescu, David – Journal of Educational Measurement, 1985
An important determinant of equating process efficiency is the correlation between the anchor test and components of each form. Use of some monotonic function of this correlation as a measure of equating efficiency is suggested. A model relating anchor test length and test reliability to this measure of efficiency is presented. (Author/DWH)
Descriptors: Correlation, Equated Scores, Mathematical Models, Standardized Tests
Peer reviewedChen, James J.; Novick, Melvin, R. – Journal of Educational Statistics, 1984
The Libby-Novick class of three-parameter generalized beta distributions is shown to provide a rich class of prior distributions for the binomial model that removes some restrictions of the standard beta class. A numerical example indicates the desirability of using these wider classes of densities for binomial models. (Author/BW)
Descriptors: Bayesian Statistics, Computer Oriented Programs, Generalization, Goodness of Fit
Peer reviewedFeidler, Anita; Hurt, C. D. – Library and Information Science Research, 1986
Examines information transfer in atmospheric physics by tracing one paper through five years of citations and suggesting patterns for highly cited papers. The results are also discussed in terms of information transfer in a popularized environment, as stratospheric aerosols have been prominently discussed in the popular press. (Author/EM)
Descriptors: Citation Analysis, Information Transfer, Intellectual Disciplines, Mass Media
Peer reviewedBentler, P. M.; Lee, Sik-Yum – Journal of Educational Statistics, 1983
A method for the estimation of covariance structure models under polynomial constraints (such as quadratic constraints) is presented. Estimation is on maximum likelihood principles, and the test statistics, parameter estimates, and standard errors are based on a statistical theory which takes the constraints into account. (Author/JKS)
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Peer reviewedMaxwell, Scott E.; And Others – Journal of Educational Statistics, 1985
It is recommended that the significance test of treatment effects in analysis of covariance be conceptualized, not as an analysis of residuals, but as a comparison of models whose parameters are estimated by the principle of least squares. (Author/LMO)
Descriptors: Analysis of Covariance, Higher Education, Instructional Improvement, Least Squares Statistics
Peer reviewedWachtel, Paul – Review of Economics and Statistics, 1976
Analyzes the impact of expenditures per year of schooling on earnings, based on data from a longitudinal study of 1,633 male American World War II veterans. (Available from North-Holland Publishing Company, P.O. Box 211, Amsterdam, the Netherlands; $13.50 annually, plus $4.00 postage and handling) (JG)
Descriptors: Educational Economics, Elementary Secondary Education, Factor Analysis, Higher Education
Peer reviewedBrandenburg, Dale C.; Forsyth, Robert A. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Achievement Tests, Comparative Analysis, Item Sampling, Mathematical Models
Peer reviewedNovick, Melvin R.; And Others – Psychometrika, 1973
This paper develops theory and methods for the application of the Bayesian Model II method to the estimation of binomial proportions and demonstrates its application to educational data. (Author/RK)
Descriptors: Bayesian Statistics, Educational Testing, Mathematical Models, Measurement
Peer reviewedMandeville, Garrett K. – American Educational Research Journal, 1972
Results of this study suggest that certain kinds of treatment differences may be better uncovered by viewing test data in a repeated measures format. (Author/MB)
Descriptors: Data Analysis, Data Collection, Factor Structure, Mathematical Models
Peer reviewedCahen, Leonard S.; Linn, Robert L. – American Educational Research Journal, 1971
Johnson-Neyman, Potthoff, and Erlander and Gustavsson techniques for obtaining confidence regions for the difference between regression surfaces are compared. (DG)
Descriptors: Aptitude Treatment Interaction, Grouping (Instructional Purposes), Interaction Process Analysis, Mathematical Models
Peer reviewedHedges, Larry V.; Stock, William – American Educational Research Journal, 1983
The results of reanalyses of statistical procedures used in the class-size meta-analyses by Glass and Smith are reported. The analyses suggest that the use of suboptimal statistical methods did not greatly affect the results of the meta-analyses by Glass and Smith. (Author/PN)
Descriptors: Academic Achievement, Class Size, Estimation (Mathematics), Hypothesis Testing
Peer reviewedCharter, Richard A. – Educational and Psychological Measurement, 1982
Practical formulas for several analysis of variance (ANOVA) designs and models are presented which make it possible for readers to compute strength of association measures without the use of complete ANOVA tables. (Author/PN)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Mathematical Models


