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)

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)

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)

Proposes an estimation method for the Rasch model that is based on the pseudolikelihood theory of B. Arnold and D. Strauss (1988). Simulation results show great similarity between estimates from this method with those from conditional maximum likelihood and unconditional maximum likelihood estimates for the item parameters of the Rasch model. (SLD)

Cognitive and decision-making capabilities and motor responses were assessed for 24 older adults using 15 videotaped driving scenarios. Older drivers performed better on the simulation than the written test. Men performed better, drove more miles per year, and did more highway driving, differences attributed to handgrip strength or sex-role…

Presents 10 steps that help teachers and students create a motivating and relevant simulation on an environmental topic of local interest. Steps include gathering information, selecting the problem, interviewing community members, determining interest groups, investigating interest groups, choosing the decision-making body and setting the…

It is argued that the reduction of cognitive dissonance can be viewed as a constraint satisfaction problem, and a computational model of the process of consonance seeking is proposed. Simulations from this model matched psychological findings from the insufficient justification and free-choice paradigms of cognitive dissonance theory. (SLD)

Studied whether circular equating could provide an adequate measure of various types of equating error when applied to different equating methods under different equating designs. Analyses and simluations show that circular equating is generally invalid as a criterion to evaluate the adequacy of equating. (SLD)