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Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
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Leenen, Iwin; Van Mechelen, Iven; Gelman, Andrew; De Knop, Stijn – Psychometrika, 2008
Hierarchical classes models are models for "N"-way "N"-mode data that represent the association among the "N" modes and simultaneously yield, for each mode, a hierarchical classification of its elements. In this paper we present a stochastic extension of the hierarchical classes model for two-way two-mode binary data. In line with the original…
Descriptors: Simulation, Bayesian Statistics, Models, Classification
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Ceulemans, Eva; Van Mechelen, Iven – Psychometrika, 2008
In psychological research, one often aims at explaining individual differences in S-R profiles, that is, individual differences in the responses (R) with which people react to specific stimuli (S). To this end, researchers often postulate an underlying sequential process, which boils down to the specification of a set of mediating variables (M)…
Descriptors: Stimuli, Psychological Studies, Simulation, Individual Differences
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Meyer, J. Patrick; Huynh, Huynh – Journal of Experimental Education, 2008
Federal standards established in 1997 allow respondents to select multiple-race categories. These new standards changed the single-race subgroup definitions that the government has required since 1977. Meta-analysis, research on long-term assessment trends, and other research involving historical comparisons must account for the definitional…
Descriptors: Student Evaluation, Simulation, Definitions, Classification
Cecchini, Arnaldo; Frisenna, Adriana – Simulation/Games for Learning, 1987
Reviews the problems of classifying gaming techniques and suggests a heuristic approach as one solution. Definitions of simulation, models, role, and game and play are discussed to help develop a classification based on a technique called gaming simulation. (Author/LRW)
Descriptors: Classification, Definitions, Game Theory, Heuristics
Rumelhart, David E.; Norman, Donald A. – 1983
This paper reviews work on the representation of knowledge from within psychology and artificial intelligence. The work covers the nature of representation, the distinction between the represented world and the representing world, and significant issues concerned with propositional, analogical, and superpositional representations. Specific topics…
Descriptors: Artificial Intelligence, Classification, Generalization, Literature Reviews
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Cooper, David; Lynch, Michael F. – Information Processing and Management, 1984
Suggests new method of external distribution called tree partitioning that involves use of binary tree to split incoming file into successively smaller partitions for internal sorting. Number of disc accesses during a tree-partitioning sort were calculated in simulation using files extracted from British National Bibliography catalog files. (19…
Descriptors: Classification, Comparative Analysis, Computer Software, Data Processing
Van Epps, Pamela D. – 1987
This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…
Descriptors: Classification, Correlation, Discriminant Analysis, Educational Research
Gredler, Margaret Bell – Educational Technology, 1986
Presents a classification system of four microcomputer simulation types developed to evaluate their instructional processes: structured questions and graphics, variable-assignment exercises, diagnostic simulations, and group-interactive simulations. How this taxonomy contributes to three tasks associated with classroom use of software is…
Descriptors: Classification, Computer Graphics, Computer Simulation, Computer Software
Stammers, R. B.; Morrisroe, G. C. – Programmed Learning and Educational Technology, 1986
This overview of computer uses in occupational training discusses three computer-based training modes--embedded, stand-alone, and adjunct training. An adjunct training system is described which captures task realism through a simulation to teach the use of a command and control system. A pilot study of this adjunct system's use is described.…
Descriptors: Classification, Computer Assisted Instruction, Computer Simulation, Computer Software
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Cunningham, J. Barton – Simulation and Games, 1984
Clarifies appropriateness of certain simulation approaches by distinguishing between different types of simulations--experimental, predictive, evaluative, and educational--on the basis of purpose, assumptions, procedures, and criteria for evaluating. The kinds of questions each type best responds to are discussed. (65 references) (MBR)
Descriptors: Classification, Comparative Analysis, Design Requirements, Educational Games
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Stanislaw, Harold – Simulation and Games, 1986
Provides a framework for understanding the concept of validity and how it applies to simulation research. Extant tests of validity are discussed in terms of this framework, and a general schema for testing validity is proposed. (MBR)
Descriptors: Classification, Computer Simulation, Computer Software, Definitions
Ziomek, Robert L.; Szymczuk, Mike – 1983
In order to evaluate standard setting procedures, apart from the more commonly applied approach of simply comparing the derived standards or failure rates across various techniques, this study investigated the errors of classification associated with the contrasting groups procedures. Monte Carlo simulations were employed to produce…
Descriptors: Classification, Computer Simulation, Error of Measurement, Evaluation Methods