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Blais, Jean-Guy; Raiche, Gilles – 2002
This paper examines some characteristics of the statistics associated with the sampling distribution of the proficiency level estimate when the Rasch model is used. These characteristics allow the judgment of the meaning to be given to the proficiency level estimate obtained in adaptive testing, and as a consequence, they can illustrate the…
Descriptors: Ability, Adaptive Testing, Error of Measurement, Estimation (Mathematics)
Peer reviewed Peer reviewed
Harris, Chester W. – Journal of Educational Measurement, 1973
A brief note presenting algebraically equivalent formulas for the variances of three error types. (Author)
Descriptors: Algebra, Analysis of Covariance, Analysis of Variance, Error of Measurement
Peer reviewed Peer reviewed
Kristof, Walter – Psychometrika, 1973
Paper is concerned with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. (Author/RK)
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Mathematical Models
Peer reviewed Peer reviewed
Werts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1972
The general problem of using group status to estimate true scores given multiple measures is considered in this paper. (Authors)
Descriptors: Error of Measurement, Group Status, Mathematical Applications, Multiple Regression Analysis
Peer reviewed Peer reviewed
MisLevy, Robert J.; Bock, R. Darrell – Educational and Psychological Measurement, 1982
An alternative biweight estimator based on Tukey's is examined in which (1) test disturbances are not assumed to be the same for all subjects, (2) each response is utilized proportional to its value, and (3) the biweight and maximum likelihood estimate agree when no disturbances are present. Smaller mean-squared errors are shown. (Author/CM)
Descriptors: Error of Measurement, Estimation (Mathematics), Guessing (Tests), Latent Trait Theory
Peer reviewed Peer reviewed
Westermann, Rainer; Hager, Willi – Perceptual and Motor Skills, 1983
Two psychological experiments--Anderson and Shanteau (1970), Berkowitz and LePage (1967)--are reanalyzed to present the problem of the relative importance of low Type 1 error probability and high power when answering a research question by testing several statistical hypotheses. (Author/PN)
Descriptors: Error of Measurement, Hypothesis Testing, Power (Statistics), Research Design
Peer reviewed Peer reviewed
Winne, Philip H.; Belfry, M. Joan – Journal of Educational Measurement, 1982
This review of issues about correcting for attenuation concludes that the basic difficulty lies in being able to identify and equate sources of variance in estimates of validity and reliability. Recommendations are proposed for cautious use of correction for attenuation. (Author/CM)
Descriptors: Correlation, Error of Measurement, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Seddon, G. M.; And Others – Journal of Educational Measurement, 1981
In a Monte Carlo simulation, a methodology was developed to investigate the existence of radex properties among objective test items. In an experiment with items covering four categories of Bloom's cognitive domain taxonomy, the items did not have the factorial properties of a radex with four levels of complexity. (Author/BW)
Descriptors: Correlation, Error of Measurement, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Bradley, Fred O.; And Others – Journal of Consulting and Clinical Psychology, 1980
No WISC-R IQ scale is immune to serious scoring errors. Inspection of the standard deviations reveals that the score an examinee receives for a given performance on WISC-R content can easily vary by six to eight IQ points. (Author)
Descriptors: Children, Diagnostic Tests, Elementary Secondary Education, Error of Measurement
Peer reviewed Peer reviewed
Anderlik, Barbara – Journal of Chemical Education, 1980
Discusses the problems associated with teaching uncertainties in measurements and significant figures. Appendices present an experiment on measurement that introduces uncertainty in measurement, and an exercise in significant figures. (CS)
Descriptors: Chemistry, Error of Measurement, Measurement, Science Activities
Peer reviewed Peer reviewed
McGaw, Barry; Glass, Gene V. – American Educational Research Journal, 1980
There are difficulties in expressing effect sizes on a common metric when some studies use transformed scales to express group differences, or use factorial designs or covariance adjustments to obtain a reduced error term. A common metric on which effect sizes may be standardized is described. (Author/RL)
Descriptors: Control Groups, Error of Measurement, Mathematical Models, Research Problems
Peer reviewed Peer reviewed
Kleven, Thor Arnfinn – Scandinavian Journal of Educational Research, 1979
Supposing different values of the standard measurement error, the relation of scale coarseness to the total amount of error is studied on the basis of probability distribution of error. The analyses are performed within two models of error and with two criteria of amount of error. (Editor/SJL)
Descriptors: Cutting Scores, Error of Measurement, Goodness of Fit, Grading
Peer reviewed Peer reviewed
Metz, Patricia A.; Pribyl, Jeffrey R. – Journal of Chemical Education, 1995
Argues against a rule-based, algorithmic approach to measurement in introductory chemistry courses. Describes a learning activity that leads students to understand the need for rules and the application of those rules in measurement. (DDR)
Descriptors: Chemistry, Constructivism (Learning), Error of Measurement, Higher Education
Peer reviewed Peer reviewed
Wang, Lin; And Others – Structural Equation Modeling, 1996
Actual kurtotic and skewed data and varied sample sizes and estimation methods demonstrated that normal theory maximum likelihood and generalized least square estimators were fairly consistent and almost identical. Standard errors tended to underestimate the estimator's true variation but the problem was not serious for large samples. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Goodness of Fit, Least Squares Statistics
Peer reviewed Peer reviewed
You, Soon-Hyung; Stone-Romero, Eugene F. – Educational and Psychological Measurement, 1996
To clarify the findings of R. Gillett (1991) about the inequality of the means of test scores of minority and majority examinees, the standard errors of the quota-selected sample means and the sampling distribution of these means were studied through Monte Carlo simulation. Results explain that the quota selection inequality results from…
Descriptors: Error of Measurement, Minority Groups, Monte Carlo Methods, Sampling
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