This paper investigates methods that avoid using multiple groups to represent the missing data patterns in covariance structure modeling, attempting instead to do a single-group analysis where the only action the analyst has to take is to indicate that data is missing. A new covariance structure approach developed by B. Muthen and G. Arminger is…

The work of R. MacCallum et al. (1992) was extended by examining chance modifications through a Monte Carlo simulation. The stability of post hoc model modifications was examined under varying sample size, model complexity, and severity of misspecification using 2- and 4-factor oblique confirmatory factor analysis (CFA) models with four and eight…

This report describes a classroom project that groups sophomore biology students into "companies" bidding for a "contract" to build a self-sufficient, enclosed city by producing a manual and model of their version of a biosphere. Students must develop technological support systems, social and economic parameters, and systems…

Recent research has demonstrated that knowledge about specific instances may be of more relevance to reasoning than has previously been assumed. Students can rely on principles they have learned, or they can recall something similar previously experienced, and base the new prediction on it in an instance-based approach. Instance-based (or…

Tukey's Honestly Significant Difference (HSD) procedure (J. Tukey, 1953) is probably the most recommended and used procedure for controlling Type I error rate when making multiple pairwise comparisons as follow-ups to a significant omnibus F test. This study compared observed Type I errors with nominal alphas of 0.01, 0.05, and 0.10 compared for…

This paper describes a computer model that simulates the way children develop the reasoning skills of transitive inference and the construction of ordered sets. The computer model begins from general operations, such as setting and removing goals, storing and retrieving information, comparing elements to find matches, reading premises, and giving…

This repeated measures factorial design study compared the results of two procedures for identifying multivariate outliers under varying conditions, the Mahalanobis distance and the Andrews-Pregibon statistic. Results were analyzed for the total number of outliers identified and number of false outliers identified. Simulated data were limited to…

Sequential probability ratio testing (PRT), which usually is applied in situations requiring a decision between two simple hypotheses or a single decision point, is extended to include situations involving k decision points and [(k + 1)-choose-2] sets of simultaneous, simple hypotheses, where k>1. The multiple-decision point or…

Multiple-hypothesis testing in the context of a correlation matrix is used to compare the statistical power of the original Bonferroni with six modified Bonferroni procedures that control the overall Type I error rate. Three definitions of statistical power are considered: (1) the ability to detect at least one true relationship; (2) the ability…

Using computer simulated data, the Type I error rate and statistical power were empirically estimated for several pairwise multiple comparison strategies for situations where population variances differ. Focus was on comparing modified Bonferroni procedures with Dunnett's solutions, and determining whether or not J. P. Shaffer's suggestion of…

The research summary is based on studies reported in "Computer Assisted Instruction in Higher Order Skills for Mildly Handicapped Students: Programmatic Research on Design Principles" by Douglas W. Carnine. Overall, results indicated that well-designed computer-assisted instruction (CAI) can be an effective instructional medium for students with…

SIMPAR, a simulation game designed to allow participants to play out assigned roles which parallel some of the real life aspects of parent-child relationships, is presented. SIMPAR is a game about workers (children) and foremen (parents) in a handicapped work setting in a company called PARLINK, Inc. The following topics are covered: (1) an…

Three computer simulations were conducted to show that very high aggregate predictive validity coefficients can occur when the across-case variability in absolute score stability occurring in both the predictor and criterion matrices is quite small. In light of the increase in internal consistency reliability achieved by the method of aggregation…

Although it is widely known that special assumptions are needed for univariate analysis of repeated measures data, researchers seldom examine their data for violation of these assumptions. This paper reviews ways in which repeated measures analyses are usually handled and describes limitations of these methods. A design with two within subject…

Intended for use with college students in introductory macroeconomics or American economic history courses, these two computer simulations of two basic macroeconomic models--a simple Keynesian-type model and a quantity-theory-of-money model--present largely incompatible explanations of the Great Depression. Written in Basic, the simulations are…