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Novick, Melvin R.; And Others – Psychometrika, 1971
Descriptors: Analysis of Variance, Bayesian Statistics, Error of Measurement, Mathematical Models
O'Brien, Francis J., Jr. – 1987
This paper is part of a series of applied statistics monographs intended to provide supplementary reading for applied statistics students. In the present paper, derivations of the unbiased standard error of estimate for both the raw score and standard score linear models are presented. The derivations for raw score linear models are presented in…
Descriptors: Error of Measurement, Estimation (Mathematics), Goodness of Fit, Higher Education

Harvill, Leo M. – Educational Measurement: Issues and Practice, 1991
This paper discusses standard error of measurement (SEM), the amount of variation or spread in the measurement errors for a test, and gives information needed to interpret test scores using SEMs. SEMs at various score levels should be used in calculating score bands rather than a single SEM value. (SLD)
Descriptors: Definitions, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Ackerman, Terry A.; Evans, John A. – 1992
The relationship between levels of reliability and the power of two bias and differential item functioning (DIF) detection methods is examined. Both methods, the Mantel-Haenszel (MH) procedure of P. W. Holland and D. T. Thayer (1988) and the Simultaneous Item Bias (SIB) procedure of R. Shealy and W. Stout (1991), use examinees' raw scores as a…
Descriptors: Comparative Analysis, Equations (Mathematics), Error of Measurement, Item Bias

Kolen, Michael J.; And Others – Journal of Educational Measurement, 1992
A procedure is described for estimating the reliability and conditional standard errors of measurement of scale scores incorporating the discrete transformation of raw scores to scale scores. The method is illustrated using a strong true score model, and practical applications are described. (SLD)
Descriptors: College Entrance Examinations, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Marston, Paul T., Borich, Gary D. – 1977
The four main approaches to measuring treatment effects in schools; raw gain, residual gain, covariance, and true scores; were compared. A simulation study showed true score analysis produced a large number of Type-I errors. When corrected for this error, this method showed the least power of the four. This outcome was clearly the result of the…
Descriptors: Achievement Gains, Analysis of Covariance, Comparative Analysis, Error of Measurement
Rentz, R. Robert; Bashaw, W. L. – 1975
In order to determine if Rasch Model procedures have any utility for equating pre-existing tests, this study reanalyzed the data from the equating phase of the Anchor Test Study which used a variety of equipercentile and linear model methods. The tests involved included seven reading test batteries, each having from one to three levels and two…
Descriptors: Comparative Analysis, Elementary Education, Equated Scores, Error of Measurement
Rentz, R. Robert; Bashaw, W. L. – 1975
This volume contains tables of item analysis results obtained by following procedures associated with the Rasch Model for those reading tests used in the Anchor Test Study. Appendix I gives the test names and their corresponding analysis code numbers. Section I (Basic Item Analyses) presents data for the item analysis of each test in a two part…
Descriptors: Comparative Analysis, Elementary Education, Equated Scores, Error of Measurement