The rank transformation approach to analysis of variance (ANOVA) as a solution to the Behrens-Fisher problem was examined. Using simulation methodology, four parameters were manipulated for the two-group design: (1) ratio of population variances; (2) distribution form; (3) sample size; and (4) population mean difference. As a general solution to…

To investigate the variables considered important to decisionmakers on an individual basis and within the natural context of the committee meeting, 110 members of 26 Committees on the Handicapped, and 102 members of ancillary professional groups responded to simulated case studies of hearing impaired children. Ss assigned the simulated cases in…

The predicted scores produced by regression with (1) single best predictor, (2) two best predictors, (3) all predictors with observed values, and (4) all predictors with or without observed values were compared with variable means as estimates of missing values. The study was conducted in a simulation mode on nx8 data matrices using various levels…

The notion of buggy procedures has played an important role in recent cognitive models of mathematical skills. Some earlier work on student modeling used artificial intelligence methods to automatically construct buggy models of student behavior. An alternate approach, proposed here, draws on insights from the rapidly developing field of machine…

The paper examines current thoughts on leadership (specifically the works of James MacGregor Burns) and presents a simulation exercise developed as a practical application of Burns' model which can be used in secondary social studies classes for gifted students. Concepts of leadership and its development are addressed, as is the relationship of…

Growth curve models are a useful tool for developmentalists because they can estimate an attribute's developmental function by providing a mathematical description of growth on an attribute over time. However, selection of a growth curve model appropriate for estimating individual developmental functions is problematic. The ideal model is the one…

In the present study Monte Carlo methods were employed to evaluate the degree to which canonical function and structure coefficients may be differentially sensitive to sampling error. Sampling error influences were investigated across variations in variable and sample (n) sizes, and across variations in average within-set correlation sizes and in…

This study investigated the effects of self-generated questions and external questions on thinking processes. Thirty-three college students acted as investigators in a computer simulation of a Congressional investigation into the Pearl Harbor attack. The simulation--known as "The Attack on Pearl Harbor: Cloud of Mystery?"--presented the…

The purpose of this study was to assess the effects of correlated dimensions and differential ability on one dimension on parameter estimation when using a two-dimensional item response theory model. Multidimensional analysis of simulated two-dimensional item response data fitting the M2PL model of M. D. Reckase (1985, 1986) was conducted using…

Past research has demonstrated the negative effects of leading questions by attorneys on eyewitness testimony and has found that adversary lawyers produced less accurate testimony from eyewitnesses. This study was conducted to examine the effects of lawyer's hostile versus non-hostile behavior and lawyer's leading versus non-leading questions on…

The present investigation developed power curves for two parametric and two nonparametric procedures for testing the equality of population variances. Both normal and non-normal distributions were considered for the two group design with equal and unequal sample frequencies. The results indicated that when population distributions differed only in…

Describes some uses of pocket-size electronic calculators in biology classes; for example, charting exponential population curves, evolution by natural selection, and random genetic drift. (PEB)

Queries 'n Theories provides a parallel to the strong inference approach to scientific method--designing experiments, observing data, and theorizing. (Author)