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Brogden, H. E. – Psychometrika, 1977
Relationships between the Rasch test analysis model, the law of comparative judgment, and additive conjoint measurement are discussed. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
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Woodhouse, Brian; Jackson, Paul H. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with non-homogeneous items has been a problem for psychometricians. A computer search procedure is developed for locating such a lower bound in a variety of settings. (Author/JKS)
Descriptors: Computer Programs, Mathematical Models, Measurement, Test Interpretation
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Tatsuoka, Kikumi K. – Psychometrika, 1984
In this study, the statistical properties of extended caution indices are investigated, and their relationships to Guttman scales and to item and person response curves are discussed. Further, these indices are standardized, and an example of their potential usefulness for diagnosing students' misconceptions is shown. (Author/BW)
Descriptors: Error Patterns, Latent Trait Theory, Responses, Scaling
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ten Berge, Jos M. F.; Zegers, Frits E. – Psychometrika, 1978
Two lower bounds to reliability in classical test theory, Guttman's lamda and Cronbach's alpha, are shown to be terms of an infinite series of lower bounds. All terms of this series are equal to reliability if and only if the test contains items which are tau-equivalent. (Author/JKS)
Descriptors: Mathematical Formulas, Psychometrics, Technical Reports, Test Interpretation
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Zhang, Jinming; Stout, William – Psychometrika, 1997
Three counterexamples demonstrate that the Dutch Identity conjecture of P. Holland about examinee ability (1990) does not hold in general. The counterexamples suggest that only under strong assumptions can it be true that the limits of log-manifest probabilities are quadratic. Three propositions giving such strong conditions are given. (Author/SLD)
Descriptors: Ability, Item Response Theory, Mathematical Models, Probability
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Schulman, Robert S. – Psychometrika, 1978
Ordinal measurement is the rank ordering of individuals in a population. For ordinal measurement, the concept of an individual propensity distribution is his or her true score. Estimation of, as well as other aspects of the distribution, are discussed. (Author/JKS)
Descriptors: Correlation, Measurement, Nonparametric Statistics, Probability
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Jackson, Paul H.; Agunwamba, Christian C. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with nonhomogenous items has been a problem for psychometricians. This paper presents a mathematical formula for finding the greatest lower bound for such a coefficient. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
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Sachan, Ronaldo – Psychometrika, 1984
A general class of differentiation indices is introduced for profiles of scores. Their ordinal properties and an application to Holland's classification system are examined. Comparison with other suggested indices is performed both theoretically and empirically. (Author)
Descriptors: Interest Inventories, Mathematical Models, Profiles, Proof (Mathematics)
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Muthen, Bengt; Christoffersson, Anders – Psychometrika, 1981
A new method is proposed for a simultaneous factor analysis of dichotomous responses from several groups of individuals. The method makes it possible to compare factor loading pattern, factor variances and covariances, and factor means over groups. Generalized least squares is used as the estimation procedure. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Goodness of Fit, Hypothesis Testing
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Andrich, David – Psychometrika, 1978
A rating response mechanism for ordered categories such as in Likert scaling, which is related to the traditional threshold formulation but distinctively different from it, is formulated. The mechanism is based on the Rasch model. Two parameters in addition to the usual Rasch parameters are identified and discussed. (Author/JKS)
Descriptors: Item Analysis, Mathematical Models, Psychometrics, Rating Scales
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Wilcox, Rand R. – Psychometrika, 1979
When comparing examinees to a control group or person, the examiner usually does not know the probability of correct classification based on the number of items used and the number of people tested. Using ranking and selection techniques, a framework is described for deriving a lower bound on this probability. (Author/JKS)
Descriptors: Criterion Referenced Tests, Cutting Scores, Probability, Psychometrics
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Huynh, Huynh – Psychometrika, 1977
A model for the setting of mastery cut scores is presented. The model, based on the beta-binomial test distribution, allows for hand calculation of cut scores. The model provides a simple way to explore the consequences of selecting a particular cut score. (Author/JKS)
Descriptors: Career Development, Cutting Scores, Mastery Tests, Mathematical Models
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Andersen, Erling; Madsen, Mette – Psychometrika, 1977
Methods for estimating the mean and variance of latent ability parameters of a normally distributed population that has been tested with Rasch model-calibrated test items are discussed. Methods for checking the normality of the population are also included. (JKS)
Descriptors: Achievement Tests, Aptitude Tests, Latent Trait Theory, Mathematical Models
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Rost, Jurgen – Psychometrika, 1985
A latent class model for rating data is presented which provides an alternative to the latent trait approach of analyzing test data. It is the analog of Andrich's binomial Rasch model for Lazarsfeld's latent class analysis (LCA). Response probabilities for rating categories follow a binomial distribution and depend on class-specific item…
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Rating Scales
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Woodward, J. Arthur; Joe, George W. – Psychometrika, 1973
Two problems were considered for random-model, fully-crossed, two- and three-facet experimental designs. (Editor/RK)
Descriptors: Decision Making Skills, Generalization, Psychological Studies, Psychometrics
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