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Beaton, Albert E.; Johnson, Eugene G. – Journal of Educational Statistics, 1990
The average response method (ARM) of scaling nonbinary data was developed to scale data from the assessments of writing conducted by the National Assessment of Educational Progress (NAEP). The method is described and illustrated with data from the 1983-84 NAEP. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Mathematical Models, Scaling
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Thissen, David; Wainer, Howard – Journal of Educational Statistics, 1990
Confidence envelopes for one-parameter, two-parameter, and three-parameter logistic item response models are illustrated. M-line plots showing the genesis of the envelope and the density of lines in the confidence region are described and illustrated. (Author/SLD)
Descriptors: Equations (Mathematics), Graphs, Item Response Theory, Mathematical Models
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Humphreys, Lloyd G.; Drasgow, Fritz – Applied Psychological Measurement, 1989
Issues arising from difference scores with zero reliability that nevertheless allow a powerful test of change are discussed. Issues include the appropriateness of underlying statistical models for psychological data and the relationship between difference scores and power. Increases in reliability always increase power for a fixed effect size.…
Descriptors: Goodness of Fit, Mathematical Models, Power (Statistics), Psychometrics
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Cavin, Edward S.; Ohls, James C. – Evaluation Review, 1990
A technique to estimate variances of weighted estimates in program evaluation is discussed. BRR estimates of variance are constructed from orthogonally weighted subsamples and can provide better estimates from complex samples than can other methods. Use of BRR is illustrated in a government evaluation of a food service program. (SLD)
Descriptors: Estimation (Mathematics), Evaluation Methods, Mathematical Models, Program Evaluation
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Harwell, Michael R.; Serlin, Ronald C. – Journal of Educational Statistics, 1989
Two forms, pure-rank and mixed-rank, of a nonparametric, general, linear model-based statistic that can be used to test several hypotheses are presented. A Monte Carlo study was used to investigate the distributional properties of these forms, and their use is discussed. (SLD)
Descriptors: Hypothesis Testing, Mathematical Models, Monte Carlo Methods, Simulation
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Mensink, Ger-Jan; Raaijmakers, Jeroen G. W. – Psychological Review, 1988
A model of interference and forgetting based on the search of associative memory (SAM) theory is presented. The SAM theory describes retrieval processes in long-term memory. A model of contextual fluctuation processes is incorporated to provide a time-dependent variable to handle time-based interference phenomena. (SLD)
Descriptors: Cognitive Processes, Long Term Memory, Mathematical Models, Memory
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Grayson, D. A. – Psychometrika, 1988
Two-group classification is discussed when a unidimensional latent trait "theta" is appropriate for explaining data. If data have a monotone likelihood ratio, then optimal allocation rules can be based on its magnitude when allocation must be made to one of the two groups related to the unidimensional latent trait. (SLD)
Descriptors: Equations (Mathematics), Latent Trait Theory, Mathematical Models, Scoring
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Silvia, E. Suyapa M.; MacCallum, Robert C. – Multivariate Behavioral Research, 1988
The effects of several specification search strategies used with Covariance Structure Modeling to obtain more parsimonious models are examined. The initial models vary in their degree of "correctness." Restricting modifications to those justified by prior theoretical knowledge improves the success of a specification search. (TJH)
Descriptors: Analysis of Covariance, Mathematical Models, Research Methodology, Search Strategies
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Lee, Sik-Yum; And Others – Psychometrika, 1989
The frequencies of "m" independent "p-way" contingency tables are analyzed by a model that assumes that the ordinal category data in each of "m" groups are generated from a latent continuous multivariate normal distribution. The model permits analysis of several groups of individuals simultaneously. (TJH)
Descriptors: Algorithms, Equations (Mathematics), Mathematical Models, Multivariate Analysis
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van der Linden, Wim J.; Boekkooi-Timminga, Ellen – Psychometrika, 1989
A maximin model for test design based on item response theory is proposed. Only the relative shape of target test information function is specified. It serves as a constraint subject to which a linear programing algorithm maximizes the test information. The model is illustrated, and alternative models are discussed. (TJH)
Descriptors: Algorithms, Latent Trait Theory, Linear Programing, Mathematical Models
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Colby, Latha S.; And Others – Information Processing and Management, 1994
Presents the list-structure data model for dealing with sets of objects, which has ordering as its fundamental principle. An extended notion of patterns and several operators of the algebra are presented. Design issues that influenced the development of the language are described. (Contains 30 references.) (KRN)
Descriptors: Algebra, Databases, Information Processing, Information Retrieval
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Curtis, Deborah A.; Marascuilo, Leonard A. – Journal of Experimental Education, 1992
Point-estimate and confidence-interval procedures are proposed for the (1) combined Mann-Whitney U test; (2) combined two-sample normal-scores test; (3) combined matched-pair Wilcoxon signed-ranks test; and (4) combined matched-pair normal-scores test. The four techniques are illustrated with hypothetical examples and are considered either…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
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Kiers, Henk A. L.; ten Berge, Jos M. F. – Psychometrika, 1992
A procedure is described for minimizing a class of matrix trace functions, which is a refinement of an earlier procedure for minimizing the class of matrix trace functions using majorization. Several trial analyses demonstrate that the revised procedure is more efficient than the earlier majorization-based procedure. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Least Squares Statistics, Mathematical Models
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Tutzauer, Frank – Journal of Communication, 1993
Introduces a new measure of bargaining toughness based on dynamical information that can easily be used in integrative bargaining scenarios. Develops a mathematical measure of bargaining toughness that takes into account not only how much the bargainer has conceded but how fast he or she has done so. (RS)
Descriptors: Communication Research, Labor Problems, Mathematical Models, Persuasive Discourse
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D'Costa, Ayres – Mid-Western Educational Researcher, 1991
Introduces Rene Thom's catastrophe theory, which is based upon complex theorems in multidimensional geometry. Catastrophe theory analysis begins by identifying the occurrence of major discontinuities, or catastrophes, in a system such as civil service exams, resulting in catastrophic change. (KS)
Descriptors: Geometric Constructions, Heuristics, Mathematical Models, Measurement Techniques
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