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Huynh, Huynh – 1977
The kappamax reliability index of domain-referenced tests is defined as the upper bound of kappa when all possibile cutoff scores are considered. Computational procedures for kappamax are described, as well as its approximation for long tests, based on Kuder-Richardson formula 21. The sampling error of kappamax, and the effects of test length and…
Descriptors: Criterion Referenced Tests, Mathematical Models, Statistical Analysis, Test Reliability
Peer reviewed Peer reviewed
Huynh, Huynh – Journal of Educational Statistics, 1982
Two indices for assessing the efficiency of decisions in mastery testing are proposed. The indices are generalizations of the raw agreement index and the kappa index. Empirical examples of these indices are given. (Author/JKS)
Descriptors: Criterion Referenced Tests, Cutting Scores, Mastery Tests, Test Reliability
Peer reviewed Peer reviewed
Huynh, Huynh – Journal of Educational Statistics, 1981
Simulated data based on five test score distributions indicate that a slight modification of the asymptotic normal theory for the estimation of the p and kappa indices in mastery testing will provide results which are in close agreement with those based on small samples from the beta-binomial distribution. (Author/BW)
Descriptors: Error of Measurement, Mastery Tests, Mathematical Models, Test Reliability
Peer reviewed Peer reviewed
Huynh, Huynh – Psychometrika, 1980
A procedure for estimating the rates of false positive and false negative classification in a mastery testing situation is described. Formulas and tables are described for the computations of the standard errors. (Author/JKS)
Descriptors: Cutting Scores, Error of Measurement, Mastery Tests, Screening Tests
Huynh, Huynh – 1977
Three techniques for estimating Kuder Richardson reliability (KR20) coefficients for incomplete data are contrasted. The methods are: (1) Henderson's Method 1 (analysis of variance, or ANOVA); (2) Henderson's Method 3 (FITCO); and (3) Koch's method of symmetric sums (SYSUM). A Monte Carlo simulation was used to assess the precision of the three…
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Monte Carlo Methods
Peer reviewed Peer reviewed
Huynh, Huynh – Psychometrika, 1980
A nonrandomized minimax solution is presented for passing scores on mastery tests using the binomial error model. The computation does not require prior knowledge regarding an individual examinee or group test data for a population of examinees. A scheme which allows for correction for guessing is also described. (Author/JKS)
Descriptors: Academic Standards, Classification, Criterion Referenced Tests, Cutting Scores
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Huynh, Huynh – 1979
A general framework for making mastery/nonmastery decisions based on multivariate test data is described in this study. Over all, mastery is granted (or denied) if the posterior expected loss associated with such action is smaller than the one incurred by the denial (or grant) of mastery. An explicit form for the cutting contour which separates…
Descriptors: Bayesian Statistics, Cutting Scores, Error of Measurement, Mastery Tests
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Huynh, Huynh; Mandeville, Garrett K. – 1979
Assuming that the density p of the true ability theta in the binomial test score model is continuous in the closed interval (0, 1), a Bernstein polynomial can be used to uniformly approximate p. Then via quadratic programming techniques, least-square estimates may be obtained for the coefficients defining the polynomial. The approximation, in turn…
Descriptors: Cutting Scores, Error of Measurement, Least Squares Statistics, Mastery Tests
Peer reviewed Peer reviewed
Huynh, Huynh – Journal of Educational Statistics, 1986
Under the assumptions of classical measurement theory and the condition of normality, a formula is derived for the reliability of composite scores. The formula represents an extension of the Spearman-Brown formula to the case of truncated data. (Author/JAZ)
Descriptors: Computer Simulation, Error of Measurement, Expectancy Tables, Scoring Formulas
Peer reviewed Peer reviewed
Huynh, Huynh; Saunders, Joseph C. – Journal of Educational Measurement, 1980
Single administration (beta-binomial) estimates for the raw agreement index p and the corrected-for-chance kappa index in mastery testing are compared with those based on two test administrations in terms of estimation bias and sampling variability. Bias is about 2.5 percent for p and 10 percent for kappa. (Author/RL)
Descriptors: Comparative Analysis, Error of Measurement, Mastery Tests, Mathematical Models
Rose, Janet S.; Huynh, Huynh – 1984
As part of a new teacher evaluation program initiated by the local school board, the Charleston County School District (South Carolina) adopted the Assessments of Performance in Teaching (APT) as a major evaluation tool to assess the teaching performance of annual contract teachers. Since evaluation procedures can ultimately lead to teacher…
Descriptors: Classroom Observation Techniques, Elementary Secondary Education, Evaluation Methods, Interrater Reliability
Saunders, Joseph C.; Huynh, Huynh – 1980
In most reliability studies, the precision of a reliability estimate varies inversely with the number of examinees (sample size). Thus, to achieve a given level of accuracy, some minimum sample size is required. An approximation for this minimum size may be made if some reasonable assumptions regarding the mean and standard deviation of the test…
Descriptors: Cutting Scores, Difficulty Level, Error of Measurement, Mastery Tests
Phillips, Gary W.; Huynh, Huynh – 1985
A procedure which may be used to project the frequency distribution of one test onto that of another test is described and illustrated. The procedure is useful when a test developer wishes to construct an alternate form with preferred distributional characteristics. For example, the test developer may wish to construct a new test form with a…
Descriptors: Achievement Tests, Elementary Secondary Education, Item Analysis, Item Banks