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Fouladi, Rachel T. – 1998
A variety of approaches have been suggested by which to assess the equality of population mean vectors under conditions of population covariance matrix homogeneity and heterogeneity. The nonrobustness of commonly used multivariate tests of means to population covariance matrix heterogeneity has been long documented. However, most studies have…
Descriptors: Correlation, Monte Carlo Methods, Multivariate Analysis, Robustness (Statistics)
Althouse, Linda Akel; Ware, William B.; Ferron, John M. – 1998
The assumption of normality underlies much of the standard statistical methodology. Knowing how to determine whether a sample of measurements is from a normally distributed population is crucial both in the development of statistical theory and in practice. W. Ware and J. Ferron have developed a new test statistic, modeled after the K-squared test…
Descriptors: Monte Carlo Methods, Power (Statistics), Sample Size, Simulation
Glas, Cees A. W.; Vos, Hans J. – 1998
A version of sequential mastery testing is studied in which response behavior is modeled by an item response theory (IRT) model. First, a general theoretical framework is sketched that is based on a combination of Bayesian sequential decision theory and item response theory. A discussion follows on how IRT based sequential mastery testing can be…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Response Theory, Mastery Tests
Peer reviewed Peer reviewed
Sanchez-Meca, Julio; Marin-Martinez, Fulgencio – Educational and Psychological Measurement, 2001
Assessed five procedures for estimating a common risk difference in a set of independent 2 x 2 tables through Monte Carlo simulation in terms of bias, efficiency, confidence level adjustment, and statistical power. The maximum likelihood estimator showed best performance, followed closely by the Cochran (W. Cochran, 1954) and Mantel-Haenszel (N.…
Descriptors: Estimation (Mathematics), Maximum Likelihood Statistics, Meta Analysis, Monte Carlo Methods