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Rigas, Georgios; Carling, Eva; Brehmer, Berndt – Intelligence, 2002
Studied the relationships between two real time dynamic decision making tasks (microworlds) and one intelligence test with 100 Swedish adults. Raven's Progressive Matrices scores were a predictor of success in the two microworlds. Discusses methodological problems with microworlds. (SLD)
Descriptors: Adults, Computer Simulation, Correlation, Decision Making
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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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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
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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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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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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Plutchik, Robert; Karasu, Toksoz B. – Computers in Human Behavior, 1991
Reviews the literature dealing with the role of computers in psychiatric interviewing, and with the role of the computer as a patient or as a therapist. Efforts to develop forms of computer-assisted therapy are described, and implications for the mental health field are suggested. (40 references) (LRW)
Descriptors: Computer Simulation, Interviews, Literature Reviews, Mental Health Programs
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Rasmussen, Jeffrey Lee; Dunlap, William P. – Educational and Psychological Measurement, 1991
Results of a Monte Carlo study with 4 populations (3,072 conditions) indicate that when distributions depart markedly from normality, nonparametric analysis and parametric analysis of transformed data show superior power to parametric analysis of raw data. Under conditions studied, parametric analysis of transformed data is more powerful than…
Descriptors: Comparative Analysis, Computer Simulation, Monte Carlo Methods, Power (Statistics)
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Zimmerman, Donald W.; And Others – Educational and Psychological Measurement, 1993
Coefficient alpha was examined through computer simulation as an estimate of test reliability under violation of two assumptions. Coefficient alpha underestimated reliability under violation of the assumption of essential tau-equivalence of subtest scores and overestimated it under violation of the assumption of uncorrelated subtest error scores.…
Descriptors: Computer Simulation, Estimation (Mathematics), Mathematical Models, Robustness (Statistics)
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Fava, Joseph L.; Velicer, Wayne F. – Multivariate Behavioral Research, 1992
Effects of overextracting factors and components within and between maximum likelihood factor analysis and principal components analysis were examined through computer simulation of a range of factor and component patterns. Results demonstrate similarity of component and factor scores during overextraction. Overall, results indicate that…
Descriptors: Computer Simulation, Correlation, Factor Analysis, Mathematical Models
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