Illustrates how to use computer simulation models in statistics to study the quality of an estimation procedure and concurrently the subtle concepts of randomness and convergence. Special emphasis is given to the use of graphical representations. (MKR)

Computers may someday replace teachers at essay grading. In recent research, a blind test has demonstrated that a computer can simulate the judgment of a group of human judges on a brand-new set of essays. Moreover, the PEG (Project Essay Grade) program can do a better (and more cost-effective) job than the usual two human readers while providing…

This document describes the construction/simulation software called Stella which can be used in the investigation of dynamic causal models. Topics considered are its built-in perspective of system dynamics and capabilities, its potential drawbacks, and its cognitive implications for educational applications. (JJK)

Examines reasons for cataloging backlogs in libraries and describes a preliminary theory of backlog dynamics. Formulas for predicting backlogs are discussed, backlog models are explained, the use of computer simulation software to form models is described, and further research is suggested. (five references) (LRW)

Describes algorithms used in the computer program LOGIMO for obtaining maximum likelihood estimates of the parameters in loglinear models. These algorithms are also useful for the analysis of loglinear item-response theory models. Presents modified versions of the iterative proportional fitting and Newton-Raphson algorithms. Simulated data…

Contrasts modeling methods in control theory to the methods of statistical generalizations in empirical studies of human or animal behavior. Presents a computer simulation that predicts behavior based on variables (effort and rewards) determined by the invariable (desired reward). Argues that control theory methods better reflect relationships to…

An adaptive testing algorithm is presented based on an alternative modeling framework, and its effectiveness is investigated in a simulation based on real data. The algorithm uses a latent class modeling framework in which assessed latent attributes are assumed to be categorical variables. (SLD)

The importance and value of modeling in physics teaching is discussed from two different points of view: to teach physics as it is nowadays practiced; and to take into account research into cognitive science and learning. Two kinds of modeling software are briefly described. (40 references) (Author)

Investigates the BILOG computer program's ability to recover known item parameters for different numbers of items, examinees, and variances of the prior distributions of discrimination parameters for the two-parameter logistic item-response theory model. For samples of at least 250 examinees and 15 items, simulation results support using BILOG.…

Kernel smoothing methods for nonparametric item characteristic curve estimation are reviewed. A simulation with 500 examinees and real data from 3,000 records of the Graduate Record Examination illustrate the rapidity of kernel smoothing. Even when population curves are three-parameter logistic, simulation suggests no loss of efficiency. (SLD)

Describes QMaPS (Qualitative Matching and Prediction system for Simulations), a qualitative reasoning system designed to function as a module in exploratory simulation learning environments. Highlights include a hierarchical organization of variables; multilevel relation typology; modeling of physical and conceptual domain structures; an…

A probabilistic parallelogram model (the PARELLA model) is presented for the measurement of latent traits by proximity items. This unidimensional model assumes that the responses of persons to items result from proximity relations. The model is illustrated in an analysis of three empirical datasets from previous studies. (SLD)

Monte Carlo methods were used to evaluate the degree to which canonical function and structure coefficients may be differentially sensitive to sampling error. For each of 64 research situations, 1,000 random samples were drawn. Both sets of coefficients were roughly equally influenced; some exceptions are noted. (SLD)

The implications of serially correlated effects on the results of generalizability analyses are discussed. Simulated data are provided that demonstrate the biases that serially correlated effects introduce into the results. Serial correlation in measurement effects can have a marked influence on the impression of the dependability of measurement…

Two joint maximum likelihood estimation methods (LOGIST 2B and LOGIST 5) and two marginal maximum likelihood estimation methods (BILOG and ForScore) were contrasted by measuring the difference between a simulation model and a model obtained by applying an estimation method to simulation data. Marginal estimation was generally superior. (SLD)