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Baker, Frank B. – Applied Psychological Measurement, 1990
The equating of results from the PC-BILOG computer program to an underlying metric was studied through simulation when a two-parameter item response theory model was used. Results are discussed in terms of the identification problem and implications for test equating. (SLD)
Descriptors: Bayesian Statistics, Computer Simulation, Equated Scores, Item Response Theory
Weidner, Laura E. – Instructor, 1989
A large class that must share one computer can still get the benefits of adventure/simulation software if students work in small groups. Teamwork stimulates sharing and cooperation. The importance of planning, useful peripherals, follow-up activities, and product information are included in this article. (IAH)
Descriptors: Classroom Techniques, Computer Simulation, Cooperative Learning, Courseware
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Reise, Steve P.; Yu, Jiayuan – Journal of Educational Measurement, 1990
Parameter recovery in the graded-response model was investigated using the MULTILOG computer program under default conditions. Results from 36 simulated data sets suggest that at least 500 examinees are needed to achieve adequate calibration under the graded model. Sample size had little influence on the true ability parameter's recovery. (SLD)
Descriptors: Computer Assisted Testing, Computer Simulation, Computer Software, Estimation (Mathematics)
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Ottenbacher, Kenneth J. – Journal of Research and Development in Education, 1989
Simulation studies were used to explore the relationship between Type I error rates (statistical conclusion validity) and multiple testing in data sets exhibiting varying degrees of independence. Implications for reporting and interpreting educational data are discussed, and methods of determining or reducing Type I error incidence are presented.…
Descriptors: Computer Simulation, Educational Research, Monte Carlo Methods, Research Problems
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Andrich, David – Journal of Educational Measurement, 1989
The distinction between deterministic and statistical reasoning in the application of models to educational measurement is explicated. Issues addressed include the relationship between data and estimation equations, distinction between parameters and parameter estimates, and power of tests of fit of responses across the ability continuum. (TJH)
Descriptors: Computer Simulation, Equations (Mathematics), Estimation (Mathematics), Goodness of Fit
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Reckase, Mark D.; And Others – Journal of Educational Measurement, 1988
It is demonstrated, theoretically and empirically, that item sets can be selected that meet the unidimensionality assumption of most item response theory models, even though they require more than one ability for a correct response. A method for identifying such item sets for test development purposes is presented. (SLD)
Descriptors: Computer Simulation, Item Analysis, Latent Trait Theory, Mathematical Models
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Cope, Peter; Simmons, Malcolm – Journal of Educational Psychology, 1994
The effects of limiting the availability of immediate feedback while using LOGO were studied for 48 students aged 9 to 11 solving rotation problems. Limiting feedback reduced the incidence of trial and error strategies, and higher level problem solving strategies were apparently used to compensate for the restricted feedback access. (SLD)
Descriptors: Computer Assisted Instruction, Computer Simulation, Elementary Education, Elementary School Students
Kurzweil, Raymond C. – Executive Educator, 1994
Summarizes recent advances in computer simulation and "reverse engineering" technologies, highlighting the Human Genome Project to scan the human genetic code; artificial retina chips to copy the human retina's neural organization; high-speed, high-resolution Magnetic Resonance Imaging scanners; and the virtual book. Discusses…
Descriptors: Artificial Intelligence, Communications, Computer Simulation, Cybernetics
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Amini, Minoo S. – Journal of Education for Business, 1995
Instruction in computer-based business communication is vital to prepare students for the current environment. Course design should include hands-on training using electronic messaging, a simulated environment in which to practice networking, and encouragement of teams and collaboration among students. (SK)
Descriptors: Business Communication, Business Education, Computer Networks, Computer Simulation
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Tompson, George H. – Journal of Education for Business, 1995
Business students involved in group presentations (n=28), industry research projects (n=44), and computer simulation (n=51) rated each method on 10 criteria: interest, novelty, motivation, effort, business relevance, major relevance, course relevance, course improvement, learning, and difficulty. Simulation scored highest on 6 of the 10 areas. (SK)
Descriptors: Business Administration Education, Computer Simulation, Higher Education, Instructional Effectiveness
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Cohen, Jacob; Nee, John C. M. – Multivariate Behavioral Research, 1990
The analysis of contingency tables via set correlation allows the assessment of subhypotheses involving contrast functions of the categories of the nominal scales. The robustness of such methods with regard to Type I error and statistical power was studied via a Monte Carlo experiment. (TJH)
Descriptors: Computer Simulation, Monte Carlo Methods, Multivariate Analysis, Power (Statistics)
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Curry, Bruce; Moutinho, Luiz – Management Education and Development, 1992
Computer simulation is an ideal framework to encourage decision making, active learning, and motivation. Appropriate software should be judged in terms of realism, relevance, complexity, interface, administrative efficiency, and use of microcomputers. (SK)
Descriptors: Business Administration Education, Computer Simulation, Computer Software, Higher Education
Bergland, Mark – Bioscene, 1994
Describes step-by-step techniques that can be used to develop educational simulations for undergraduate biology students. Also discussed are simulations that are currently being developed with the support of the National Science Foundation. (ZWH)
Descriptors: Biology, Computer Simulation, Computer Uses in Education, Higher Education
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Alexander, Ralph A.; Govern, Diane M. – Journal of Educational Statistics, 1994
A new approximation is proposed for testing the equality of "k" independent means in the face of heterogeneity of variance. Monte Carlo simulations show that the new procedure has nearly nominal Type I error rates and Type II error rates that are close to those produced by James's second-order approximation. (SLD)
Descriptors: Analysis of Variance, Computer Simulation, Equations (Mathematics), Monte Carlo Methods
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Snijders, Tom A. B. – Psychometrika, 1991
A complete enumeration method and a Monte Carlo method are presented to calculate the probability distribution of arbitrary statistics of adjacency matrices when these matrices have the uniform distribution conditional on given row and column sums, and possibly on a given set of structural zeros. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Mathematical Models, Matrices
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