Presents a game called the Meiosis Shuffle that helps students simulate the process of meiosis in which homologous cards representing chromosomes pair up, line up, and split apart. Students respond well to the simulation and are better able to conceptualize what chromosomes do and how independent assortment causes genetic variation. (CCM)

Compares eight models for analyzing count data through simulation in the context of prediction of absenteeism to indicate the extent to which each model produces false positives. Results suggest that ordinary least-squares regression does not produce more false positives than expected by chance. The Tobit and Poisson models do yield too many false…

Used simulated data to test the integrity of orthogonal factor solutions when varying sample size, factor pattern/structure coefficient magnitude, method of extraction, number of variables, number of factors, and degree of overextraction. Discusses implications of results with regard to overextraction. (SLD)

Develops an item-parameter estimation procedure using an EM algorithm for the continuous-response model (F. Samejima, 1973). Examines the usefulness of this model using simulated data. Results show that the procedure performs well in estimating items and theta parameters. (SLD)

Describes a co-evolutionary model for supporting the emergence of authenticity through a partnership between preservice teachers and practicing teachers who collaborated in real-world tasks. Discusses authenticity and participatory learning; simulation models; participation models; uses of technology; communities of practice; power and control;…

Developed a simulation model to predict the effects of policies for reducing adolescent smoking initiation. The model projected numbers of smokers, never smokers, and ex-smokers by age, sex, and race/ethnicity and effects of reductions in youth initiation. Results predicted that even if tobacco policies eliminated youth initiation, the number of…

Describes the implementation of a standard Pearson chi-square statistic to test the null hypothesis of bivariate normality for latent variables in the Type I censored model. Assesses the behavior of the statistic through simulation and illustrates the statistic through an empirical example. Discusses limitations of the test. (Author/SLD)

Simulated data for factor analytic models is used in the evaluation of three methods for controlling Type I errors: (1) the standard approach that involves testing each parameter at the 0.05 level; (2) the Bonferroni approach; and (3) a simultaneous test procedure (STP). Advantages offered by the Bonferroni approach are discussed. (SLD)

Presents a four-part theoretical treatment of the planning of speech movements that favors models in which the only invariant targets are regions in auditory perceptual space over models that posit invariant construction targets. Computer simulations illustrate the models. (SLD)

The adequacy of "rule of thumb" conventional cutoff criteria and several alternatives for fit indices in covariance structure analysis was evaluated through simulation. Analyses suggest that, for all recommended fit indexes except one, a cutoff criterion greater than (or sometimes smaller than) the conventional rule of thumb is required…

Simulation studies indicate that, for responses to complete tests, construction of Rasch measures from observational data, followed by principal components factor analysis of Rasch residuals, provides an effective means of identifying multidimensionality. The most diagnostically useful residual form was found to be the standardized residual. (SLD)

This study assessed the accuracy of parallel analysis, a technique in which observed eigenvalues are compared to eigenvalues from simulated data when no real factors are present. Three studies with manipulated sizes of real factors and sample sizes illustrate the importance of modeling the data more closely when parallel analysis is used. (SLD)

Using item mean squares to evaluate fit to the Rasch model was studied, also considering the transformed version of the item fit statistics. Simulations demonstrate that the critical value for the mean square used to detect misfit is affected by the type of mean square and the number of persons in the calibration. (SLD)

The observed effectiveness and efficacy of discovery learning in simulated environments is reviewed, along with problems learners may encounter in discovery learning. How simulations can be combined with instructional support is discussed. Successful discovery learning is related to reasoning from hypotheses, applying the discovery process, and…

Developed a new regression equation to estimate the mean value of eigenvalues in parallel analysis and studied the performance of the equation in comparison with previously published regression equations through simulation. Performance of the new equation was comparable to that of the LCHF equation of G. Lautenschlager and others (1989). (SLD)