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Zwinderman, Aeilko; van den Wollenberg, Arnold L. – Applied Psychological Measurement, 1990
Simulation studies (N=4,000 simulees) examined the effect of misspecification of the latent ability distribution (theta) on the accuracy and efficiency of marginal maximum likelihood (MML) item parameter estimates and on MML statistics to test sufficiency and conditional independence. Results were compared to those of the conditional maximum…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Item Response Theory
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Rogers, H. Jane; Swaminathan, Hariharan – Applied Psychological Measurement, 1993
Performance of the logistic regression (LR) procedure was compared to that of the Mantel Haenszel (MH) procedure in the detection of uniform and nonuniform differential item functioning on a simulation examining distributional properties of the LR and MH test statistics and the relative power of the two procedures. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Item Bias, Mathematical Models
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Maris, Eric – Psychometrika, 1993
A class of models is presented for gamma distributed random variables. These additive, multiplicative, and combined additive-multiplicative models are more flexible than classical linear models with respect to the structure that can be imposed on expected values. As a special case, a class of psychometric models for reaction times is presented.…
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
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Halliday, Leah; Oppenheim, Charles – Journal of Documentation, 2000
Explores economic aspects of digital journal production and delivery using Ithink Analyst, a modeling software package. Three models were developed and simulations were used to monitor the effect of variations in the values of key model elements. Discusses results that show staff costs and overhead are the most substantial costs for scholarly…
Descriptors: Comparative Analysis, Computer Simulation, Computer Software, Costs
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Muller, Wolfgang; Marchand-Mailet, Stephane; Muller, Henning; Squire, David McG.; Pun, Thierry – Journal of the American Society for Information Science and Technology, 2001
Addresses the problem of benchmarking image browsers. Existence of different search paradigms for image browsers makes it difficult to compare them. Currently, the only admissible evaluation method involves conducting large-scale user studies. An automatic image browser benchmark is proposed that uses structured text annotation of the image…
Descriptors: Benchmarking, Comparative Analysis, Computer Simulation, Evaluation Criteria
Nevitt, Jonathan; Tam, Hak P. – 1997
This study investigates parameter estimation under the simple linear regression model for situations in which the underlying assumptions of ordinary least squares estimation are untenable. Classical nonparametric estimation methods are directly compared against some robust estimation methods for conditions in which varying degrees of outliers are…
Descriptors: Comparative Analysis, Computer Simulation, Error of Measurement, Estimation (Mathematics)
Hsiung, Tung-Hsing; Olejnik, Stephen – 1993
This study considers the problem of performing all pairwise comparisons of column means for a two-by-four additive nonorthogonal factorial analysis of variance (ANOVA) model where cell variances are heterogeneous. Extensions of the following procedures are considered: (1) Games-Howell (1976) procedure; (2) the C. W. Dunnett (1980) T3 and C…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Kaiser, Javaid – 1990
There are times in survey research when missing values need to be estimated. The robustness of four variations of regression and substitution by mean methods was examined using a 3x3x4 factorial design. The regression variations included in the study were: (1) regression using a single best predictor; (2) two best predictors; (3) all available…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Predictor Variables
Thayer, Jerome D. – 1986
The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…
Descriptors: Comparative Analysis, Computer Simulation, Mathematical Models, Multiple Regression Analysis
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Dreger, Ralph Mason; And Others – Multivariate Behavioral Research, 1988
Seven data sets (namely, clinical data on children) were subjected to clustering by seven algorithms--the B-coefficient, Linear Typal Analysis; elementary linkage analysis, Numerical Taxonomy System, Statistical Analysis System hierarchical clustering method, Taxonomy, and Bolz's Type Analysis. The little-known B-coefficient method compared…
Descriptors: Algorithms, Children, Clinical Diagnosis, Cluster Analysis
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Vasu, Ellen Storey; Tyler, Doris Kennedy – Journal of Computing in Childhood Education, 1997
Examined the effects of using Logo or problem-solving oriented simulation software on the spatial and critical thinking skills of fifth graders. Found that the Logo group had a significant pretest-posttest change in spatial scores, and the Simulation group had a significant pretest-posttest change in critical thinking scores. No significant change…
Descriptors: Comparative Analysis, Computer Simulation, Critical Thinking, Educational Technology
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Lohner, Simone; van Joolingen, Wouter R.; Savelsbergh, Elwin R. – Instructional Science, 2003
Compares dyads of secondary school physics students working on a collaborative modeling task using a text-based model representation, in which correct equations are required to make the model run, with others using a graphical representation, in which the model is build by qualitatively linking variables. (MES)
Descriptors: Comparative Analysis, Computer Simulation, Cooperative Learning, High Schools
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Stark, Stephen; Drasgow, Fritz – Applied Psychological Measurement, 2002
Describes item response and information functions for the Zinnes and Griggs paired comparison item response theory (IRT) model (1974) and presents procedures for estimating stimulus and person parameters. Monte Carlo simulations show that at least 400 ratings are required to obtain reasonably accurate estimates of the stimulus parameters and their…
Descriptors: Comparative Analysis, Computer Simulation, Error of Measurement, Item Response Theory
Thurman, Richard A.; Mattoon, Joseph S. – Educational Technology, 1994
Considers the role and effectiveness of virtual reality in simulation-based training. The theoretical and practical implications of verity, integration, and natural versus artificial interface are discussed; a three-dimensional classification scheme for virtual reality is described; and the relationship between virtual reality and other…
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Computer Simulation
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Roznowski, Mary; And Others – Applied Psychological Measurement, 1991
Three heuristic methods of assessing the dimensionality of binary item pools were evaluated in a Monte Carlo investigation. The indices were based on (1) the local independence of unidimensional tests; (2) patterns of second-factor loadings derived from simplex theory; and (3) the shape of the curve of successive eigenvalues. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
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