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Olejnik, Stephen F.; Algina, James – 1985
The present investigation developed power curves for two parametric and two nonparametric procedures for testing the equality of population variances. Both normal and non-normal distributions were considered for the two group design with equal and unequal sample frequencies. The results indicated that when population distributions differed only in…
Descriptors: Computer Simulation, Hypothesis Testing, Power (Statistics), Sampling
Peer reviewedYen, Wendy M. – Psychometrika, 1987
Comparisons are made between BILOG version 2.2 and LOGIST 5.0 version 2.5 in estimating the item parameters, traits, item characteristic functions, and test characteristic functions for the three-parameter logistic model. Speed and accuracy are reported for a number of 10, 20, and 40-item tests. (Author/GDC)
Descriptors: Comparative Analysis, Computer Simulation, Computer Software, Item Analysis
Peer reviewedRasmussen, Jeffrey Lee – Multivariate Behavioral Research, 1988
A Monte Carlo simulation was used to compare the Mahalanobis "D" Squared and the Comrey "Dk" methods of detecting outliers in data sets. Under the conditions investigated, the "D" Squared technique was preferable as an outlier removal statistic. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Data Analysis, Monte Carlo Methods
Peer reviewedLathrop, Richard G.; Williams, Janice E. – Educational and Psychological Measurement, 1987
A Monte Carlo study, involving 6,000 "computer subjects" and three raters, explored the reliability of the inverse screen test for cluster analysis. Results indicate that the inverse screen may be a useful and reliable cluster analytic technique for determining the number of true groups. (TJH)
Descriptors: Cluster Analysis, Computer Simulation, Interrater Reliability, Monte Carlo Methods
Peer reviewedHenrion, Max; And Others – Journal of the American Society for Information Science, 1986
The purpose of this evaluation of DEMOS, a system for decision modeling and uncertainty analysis, was to identify some generic issues of interest in the design of such information systems, obtain insights about the causes of problems in their use, and to suggest hypotheses about how to deal with them. (EM)
Descriptors: Computer Simulation, Computer Software, Decision Making, Evaluation
Peer reviewedCohen, Ayala – Psychometrika, 1986
This article proposes a method for testing equality of variances which exploits Pitman's idea and the computational power of simulations. Several advantages to this method are illustrated. A Monte Carlo study for several combinations of sample sizes and number of variables is presented. (Author/LMO)
Descriptors: Analysis of Covariance, Computer Simulation, Correlation, Hypothesis Testing
Peer reviewedBoehnke, Klaus – Educational and Psychological Measurement, 1984
The effects of some restraints not included in the classical assumptions of the F- and H-Test (e.g., correlation of mean and sample size) were examined in a simulation design. Also simulated was a situation in which two assumptions were not met simultaneously. (Author/BW)
Descriptors: Analysis of Variance, Computer Simulation, Hypothesis Testing, Research Methodology
Peer reviewedHarrop, John W.; Velicer, Wayne F. – Multivariate Behavioral Research, 1985
Computer generated data representative of 16 Auto Regressive Integrated Moving Averages (ARIMA) models were used to compare the results of interrupted time-series analysis using: (1) the known model identification, (2) an assumed (l,0,0) model, and (3) an assumed (3,0,0) model as an approximation to the General Transformation approach. (Author/BW)
Descriptors: Computer Simulation, Data Analysis, Mathematical Models, Matrices
Hedges, Larry V.; Vevea, Jack L. – 2003
A computer simulation study was conducted to investigate the amount of uncertainty added to National Assessment of Educational Progress estimates by equating error under three different equating methods and while varying a number of factors that might affect accuracy of equating. Data from past NAEP administrations were used to guide the…
Descriptors: Computer Simulation, Equated Scores, Error of Measurement, Item Response Theory
Schoenfeld-Tacher, Regina; Persichitte, Kay A.; Jones, Loretta L. – 2000
This study sought to answer the question, Do all students benefit equally from the use of a hypermedia Goal-Based Scenario (GBS)? GBS is a subcategory of anchored instruction. The correlation between the demographic variables and achievement and specific cognitive variables and achievement was explored using a lesson on DNA, and was tested on…
Descriptors: Achievement, Cognitive Processes, Cognitive Structures, Computer Simulation
Peer reviewedBeriker, Nimet; Druckman, Daniel – Simulation & Gaming, 1996
Examines the effects of power structures in negotiations using a simulation of the historic Lausanne Peace Talks. Compares the two power configurations represented in the talks to a third bilateral configuration. Discusses the impact of the manipulated conditions on perceptions and outcome measures, aspects of the negotiating process, perceptions…
Descriptors: Computer Simulation, Conflict Resolution, History, International Relations
Peer reviewedRigas, 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
Peer reviewedFreiermuth, Mark R. – Simulation & Gaming, 2002
Considers online Internet chatting as a means to resolve simulation tasks in lieu of face-to-face negotiation and suggests that online chatting extends linguistic opportunities for participation in small-group settings while retaining the interactive qualities of spoken conversation. Concludes that language learners who are normally reluctant to…
Descriptors: Computer Assisted Instruction, Computer Simulation, Internet, Language Acquisition
Peer reviewedAndrich, 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
Peer reviewedCope, 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


