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Peer reviewedHuynh, Huynh – Psychometrika, 1982
A Bayesian framework for making mastery/nonmastery decisions based on multivariate test data is described. Overall, mastery is granted if the posterion expected loss associated with such action is smaller than the one incurred by denying mastery. (Author/JKS)
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Cutting Scores, Error of Measurement
Peer reviewedBoodoo, Gwyneth M. – Journal of Educational Statistics, 1982
Incidence sampling is a parsimonious method whereby a large number of examinees can be measured on many variables (such as test items) to assess group characteristics. Parameters used to describe an incidence sample are estimated using the theory of generalized symmetric means and generalizability theory. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Error of Measurement, Measurement Techniques
Peer reviewedButts, David P. – Journal of Research in Science Teaching, 1983
Basic characteristics of survey as a research study are discussed. Issues associated with survey research, potential uses of survey research as a strategy in science education, and potential problems jeopardizing survey studies are also discussed. (JN)
Descriptors: Educational Research, Error of Measurement, Research Design, Research Methodology
Peer reviewedStrauss, David – Educational and Psychological Measurement, 1981
To determine if the observed correlation between two variables can be "explained" by a third variable, a significance test on the partial correlation coefficient is often used. This can be misleading when the third variable is measured with error. This article shows how the problem can be partially overcome. (Author/BW)
Descriptors: Correlation, Error of Measurement, Mathematical Models, Predictive Validity
Peer reviewedGuertin, Azza S.; And Others – Educational and Psychological Measurement, 1981
The effects of under and overrotation on common factor loading stability under three levels of common variance and three levels or error are examined. Four representative factor matrices were selected. Results suggested that matrices which account for large amounts of common variance tend to have stable factor loadings. (Author/RL)
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Factor Structure
Roberts, A. O. H. – New Directions for Testing and Measurement, 1980
When a test is made to separate a group into two distinct subgroups, as well as to provide an estimate of the mean performance of one subgroup (or both of them), such estimates will be biased due to the unreliability of the test. Suggestions for corrective procedures are presented. (RL)
Descriptors: Error of Measurement, Mathematical Formulas, Prognostic Tests, Regression (Statistics)
Peer reviewedThompson, Ian – Mathematics in School, 1981
A distinction is made between estimation and checking, and an analysis of standard errors made on calculators when pupils are checking answers is given. (MP)
Descriptors: Calculators, Computation, Elementary Secondary Education, Error of Measurement
Brown, Darine F.; Hartman, Bruce – Measurement and Evaluation in Guidance, 1980
Investigated issues associated with stimulating increased return rates to a mail questionnaire among school counselors. Results show that as the number of incentives received increased, the return rates increased in a linear fashion. The incentives did not introduce response error or affect the reliability of the Counselor Function Inventory.…
Descriptors: Error of Measurement, Incentives, Motivation Techniques, Questionnaires
Peer reviewedZimmerman, Donald W.; And Others – Journal of Experimental Education, 1981
Reliability coefficients of linear combinations of observed scores have anomalous properties which have led to difficulties in the investigation of difference scores and gain scores in test theory. Discrepancies between classical results and correct results obtained from more general formulas, which allow for correlated errors, are examined…
Descriptors: Error of Measurement, Mathematical Formulas, Mathematical Models, Scores
Peer reviewedBentler, P. M.; Weeks, David G. – Psychometrika, 1980
A statistical model for relating latent variables from manifest variables, called a linear structural equation model, is presented. The approach is illustrated by a test theory model and longitudianl study of intelligence. (Author/JKS)
Descriptors: Analysis of Covariance, Data Analysis, Error of Measurement, Factor Analysis
Peer reviewedHogan, J. Michael – Communication Monographs, 1997
Discusses George Gallup's crusade to establish polling's scientific and cultural legitimacy that mythologized its history of "progress"; deflected doubts about its accuracy and technical procedures with a rhetoric of scientific of mystification; and celebrated the collective wisdom of "the people." Shows how Gallup's…
Descriptors: Communication Research, Error of Measurement, Higher Education, Public Opinion
Peer reviewedKnapp, Thomas R.; Tam, Hak P. – Mid-Western Educational Researcher, 1997
Examines potential problems in the use of inferential statistics for single population proportions, differences between two population proportions, and quotients of two population proportions. Discusses hypothesis testing versus interval estimation. Emphasizes the importance of selecting the appropriate formula for the standard error and…
Descriptors: Educational Research, Error of Measurement, Hypothesis Testing, Ratios (Mathematics)
Peer reviewedReiser, Mark – Psychometrika, 1996
Using the item response model as developed on the multinomial distribution, asymptotic variances are obtained for residuals with response patterns and first- and second-order marginal frequencies of manifest variables. A limited-information test of fit is developed by using residuals defined for the first- and second-order marginals. (Author/SLD)
Descriptors: Error of Measurement, Factor Analysis, Goodness of Fit, Item Response Theory
Peer reviewedDwyer, Carol Anne – Psychological Assessment, 1996
The uses and abuses of cut scores are examined. The article demonstrates (1) that cut scores always entail judgment; (2) that cut scores inherently result in misclassification; (3) that cut scores impose an artificial dichotomy on an essentially continuous distribution of knowledge, skill, or ability; and (4) that no true cut scores exist. (SLD)
Descriptors: Classification, Cutting Scores, Educational Testing, Error of Measurement
Peer reviewedThompson, Paul – Applied Psychological Measurement, 1989
Monte Carlo techniques were used to examine regression approaches to external unfolding. The present analysis examined the technique to determine if various characteristics of the points are recovered (such as ideal points). Generally, monotonic analyses resulted in good recovery. (TJH)
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Models, Monte Carlo Methods


