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Peer reviewedSeddon, 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 reviewedBradley, 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 reviewedAnderlik, 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 reviewedMcGaw, 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 reviewedKleven, 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 reviewedMetz, 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 reviewedWang, 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 reviewedYou, 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
Peer reviewedBriggs, Nancy E.; MacCallum, Robert C. – Multivariate Behavioral Research, 2003
Examined the relative performance of two commonly used methods of parameter estimation in factor analysis, maximum likelihood (ML) and ordinary least squares (OLS) through simulation. In situations with a moderate amount of error, ML often failed to recover the weak factor while OLS succeeded. Also presented an example using empirical data. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Factor Analysis, Factor Structure
Peer reviewedBandalos, Deborah L. – Structural Equation Modeling, 1997
Monte Carlo methods were used to study the accuracy and utility of estimators of overall error and error due to approximation in structural equation modeling. Effects of sample size, indicator reliabilities, and degree of misspecification were examined. The rescaled noncentrality parameter also was examined. Choosing among competing models is…
Descriptors: Comparative Analysis, Error of Measurement, Estimation (Mathematics), Monte Carlo Methods
Peer reviewedKaplan, David – Multivariate Behavioral Research, 1990
A strategy for evaluating/modifying covariance structure models (CSMs) is presented. The approach uses recent developments in estimation under nonstandard conditions and unified asymptotic theory related to hypothesis testing, and it determines the extent of sample size sensitivity and specification error effects by relying on existing statistical…
Descriptors: Error of Measurement, Estimation (Mathematics), Evaluation Methods, Goodness of Fit
Peer reviewedWilson, Mark – Journal of Educational Statistics, 1989
An empirical sampling approach was used to assess the accuracy of a Taylor approximation for the estimation of sampling errors. The sampling errors were in the statistics involved in estimating a path model based on medium-sized samples gathered using five sample designs commonly used in educational research. (TJH)
Descriptors: Educational Research, Error of Measurement, Estimation (Mathematics), Mathematical Models
Peer reviewedGreen, Donald Ross; And Others – Applied Measurement in Education, 1989
Potential benefits of using item response theory in test construction are evaluated using the experience and evidence accumulated during nine years of using a three-parameter model in the development of major achievement batteries. Topics addressed include error of measurement, test equating, item bias, and item difficulty. (TJH)
Descriptors: Achievement Tests, Computer Assisted Testing, Difficulty Level, Equated Scores
Peer reviewedSmith, Richard M. – Educational and Psychological Measurement, 1988
This study investigated the distributional properties of the standardized residual that is commonly used in the Rasch model calibration program to develop various indices of item and person fit. The power of the standardized residual to detect measurement disturbances is also addressed. (TJH)
Descriptors: Computer Simulation, Error of Measurement, Goodness of Fit, Guessing (Tests)
Peer reviewedSlate, John R.; Chick, David – Psychology in the Schools, 1989
Clinical psychology graduate students (N=14) administered Wechsler Intelligence Scale for Children-Revised. Found numerous scoring and mechanical errors that influenced full-scale intelligence quotient scores on two-thirds of protocols. Particularly prone to error were Verbal subtests of Vocabulary, Comprehension, and Similarities. Noted specific…
Descriptors: Clinical Psychology, Error of Measurement, Examiners, Graduate Students


